Svitla Systems partnered with Get Skilled Access to build the Field, a fully accessible job platform designed by and for people with disabilities. WCAG 2.1 AA compliant and optimized for assistive tech across five disability groups, it connects candidates with inclusive employers and won a 2023 CRN Impact Award for Customer Experience.
Svitla Systems rebuilt TasWater's underperforming field app as H2GO, an OutSystems iPad app redesigned around the field worker with reliable online/offline data handling, streamlined work orders, and a digitized job safety process. It improved data integrity and connectivity and won Best Project at the 2020 TasICT Excellence Awards.
Svitla Systems modernized winery Tahbilk's aging e-commerce and telesales software, merging them into one system handling online, phone, and cellar-door sales with real-time inventory, a single source for customer data, and Australia Post integration. It cut customer lookup time from 2-3 minutes to 30 seconds and boosted overall efficiency.
Svitla Systems partnered with SA Health to deliver VAD-IMS, a secure information management system supporting South Australia's Voluntary Assisted Dying reform. It guides practitioners and pharmacists through complex, confidential workflows to meet legal requirements, and has helped the Act operate effectively with proper safeguards in place.
Svitla Systems gave Remasys' powerful but dated Eaglei monitoring product a full UX facelift, delivering a modern customer-facing interface without touching the back end. A unified dashboard, global time filter, and interactive charts surface complex data intuitively, earning rave customer reviews and better positioning Eaglei for growth.
Svitla Systems architected Oliver Hume's end-to-end online land reservation and payment system, letting buyers view, select, and reserve Villawood lots digitally instead of queuing overnight. Rigorously security- and load-tested, its pilot reserved every lot in 2 minutes, and the work won Svitla an ARN Innovation Award.
Svitla Systems used GenAI and AI-driven development to modernize VLLC's aging .NET desktop learning platform without a costly rebuild. AI analyzed legacy code, generated documentation and SOAP integration layers, and built responsive interfaces, cutting UI effort 70% and development time 50% while extending access to Mac, tablet, and mobile users.
