• We use long-duration, multi-cycle, low-correlation data fields to develop engines to generate actionable solutions for complex business problems.

• These ML engines undergo rigorous training-testing-validation during each business cycle generating incremental improvement in performance.

• We validate the performance of these ML engines under real-market conditions to quantify their predictive efficiency.

• Once validated, we execute varied and customized business solutions for our clients and proprietary businesses.

We use publicly available information to assess companies' credit and equity performances.

• Capital Requirement - Our ML engines predict liquidity gap of corporates with a high accuracy.

We help our corporate clients to assess their liquidity requirements significantly ahead of time, thereby giving them tremendous advantange in approapriately addressing asset-liability mismatch.

• Equity Investment - Our ML engines process companies on a real-time basis and recommends a portfolio of companies that are likely to outperform the market.

This product has significant applications for long-term investors seeking superior performance from their equity investments.

• Real-time Credit Analyses - Our ML engines ascertain credit quality of corporates with very high accuracy on a real-time basis.

This product has a significant application for risk-management teams of institutional clients.

• Event of Credit Default - Our ML engines predict potential default by corporates on their debt obligations with best-in-class accuracy.

This product has radical implications for lending institutions, corporates as well as policy makers for effective and pre-emptive management of emerging credit risk.

We are actively onboarding clients for our analytics services.