Featured Success Stories From Our 4,300-Project Portfolio

ScienceSoft designed and developed laboratory diagnostics software for quality assurance and interpretation of genetic screening results.

Brush Claims partnered with ScienceSoft to advance the development of its proprietary claim suite. Over a span of two years, the teams collaborated on app modernization and evolution, performance enhancements, data reliability improvements, and security strengthening.

A success story of a long-term partnership that helped the Client become one of the world’s leading streaming solution providers. Created with ScienceSoft's help, the company's mobile apps now power T-Mobile, Orange, MTV, BBC, and other large brands.

ScienceSoft engineered investment modeling software with assistive AI capabilities for a full-service investment management firm. The solution automated market research, trade strategy design, and backtesting, and supported safe and explainable AI use.

Viber relied on ScienceSoft to build, support, and evolve the Android and desktop versions of its instant messaging and VoIP app. By cooperating with us, the company ensured optimal development and maintenance costs and managed to expand its customer base faster.

ScienceSoft refactored and rearchitected mental health software for a US-based NGO. We also conducted a UI and UX redesign for a clinician web app and an admin panel and introduced new software features.

ScienceSoft designed and launched a scalable big data analytics system based on Apache Hadoop, Apache Hive, and Apache Spark. The new solution processes 1,000+ types of advertising data in real time and enables comprehensive analytics for different markets.

The 4.5-year-long cooperation resulted in 12 software products; 6 of them were built solely by ScienceSoft. One of the products was awarded Best Imaging Application. Our agile development practices helped reduce the time to market for each product by 3–4 months.

The solution provides data-driven guidance on stock investing for NASDAQ and NYSE traders and automates trade execution. ScienceSoft’s team of 20 data scientists created custom algorithms for technical pattern recognition, stock price forecasting, and autonomous trading.

ScienceSoft delivered a custom DMS for a global provider of investment operations services. ScienceSoft’s advice on the optimal feature set and technical design for the DMS helped the organization implement a comprehensive, scalable solution with minimized investments.