143 results:
In just 7 months, ScienceSoft delivered a predictive analytics solution enabling real-time capture and validation of borrower solvency data available in the EU banking systems. The software ensures quick and accurate credit decisioning with minimized default risks.
ScienceSoft’s Go, Angular, Swift, Kotlin, and Java developers built an online marketplace for a bank seeking to enter the retail industry. Rapid team augmentation and flexible resource scaling helped the Client optimize project costs while ensuring fast development.
A secure BI solution captures and analyzes real-time trader performance data, supports the creation of custom risk forecasting models, and automatically reports the necessary financial metrics, enabling the capital market regulator to rapidly identify emerging risks.
ScienceSoft developed a customer-facing NFT portal for a crypto startup delivering gamified NFT trading solutions. As a result, the startup managed to bring its NFT offer to the market faster and at an optimal cost while ensuring high user engagement and retention.
ScienceSoft migrated a mobile credit platform to the new AWS region, resolved the bugs in a loan app’s code, and implemented new lending features. The Client capitalized on lower cloud infrastructure expenses and faster time-to-market for its product.
ScienceSoft's client, an insurer with 12 years in the market and $61B of premium value, got an app driving faster claim settlement and higher customer and employee satisfaction. The app enables damage self-inspection and claim filing for insureds and is written in React Native.
ScienceSoft created the concept and detailed requirements specification of an injury management system to facilitate cooperation between caregivers, law firms, and medical finance companies in settling vehicle accident injury cases.
The solution processes 14,000+ insurance documents per month and provides 40+ pre-built templates for automatic document generation, improving insurance process speed and efficiency.
ScienceSoft provided specialized Java development competencies for a fintech software product company with 350+ B2B clients worldwide. The company managed to maintain steady app updates, prevent client service delays, and ensure high-quality app customizations.
ScienceSoft's .NET team developed 20 custom algorithms that auto-convert multi-source telematics big data to a unified proprietary format. The Customer's system has reached the capacity to process data on 100B+ vehicle events from hundreds of diverse devices.
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