55 results:
ScienceSoft delivered a suite of tailored AI agents for Atlas Credit, a Texas-based consumer loan provider operating since 1968. Designed with a focus on governance, data security, and compliance, these AI agents enable safe and controlled automation of lending workflows.
ScienceSoft delivered a proprietary loan management system for Atlas Credit, a Texas-based consumer lender operating since 1968. The solution has been recognized as Best-in-Class Loan Management System at the Global FinTech Innovation Awards 2025.
ScienceSoft’s advice on cost-effective investment software tech stack and development approach helped the Client confidently launch the project despite the limited budget. Our team managed to deliver the planned functionality strictly on the agreed schedule and budget.
ScienceSoft helped Brush Claims, an insurtech company providing innovative claim solutions, rebuild and upgrade its core claim processing product. Thanks to ScienceSoft's assistance, Brush Claims obtained a modern, high-performing solution quickly and at a lower cost.
ScienceSoft revamped the mobile banking apps and provided IT consulting for Kapital Bank, Azerbaijan’s oldest commercial bank. The Client managed to establish efficient in-house mobile development processes and got fast and cost-effective app evolution.
The software automates loan application processing, underwriting, lending document management, debt collection, and credit reporting. ScienceSoft's advice on the solution design helped the Client optimize project costs while ensuring high software quality.
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.
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.
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.
The solution enables investment professionals to securely trade bonds, monitor their portfolios, and automatically generate financial reports. By expanding its web service with convenient self-service options, the Client capitalized on higher investor satisfaction.
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