The platform was driven by a proprietary AI/ML engine that gathered data from multiple sources (like Pitchbook, Crunchbase, etc.), performed data analysis on the same, and gave actionable insights for 3 user bases:
1. Investors: Analytics and preferences-based intelligent recommendations of startups that fit the investment portfolio.
2. Startups: Analytics-based intelligent recommendations of investors that the startups could approach for funding.
3. Service Providers: Analytics and preferences-based intelligent recommendations for pitching the services to investors and startups alike.
The proprietary AI/ML engine (AiPRIL – Advanced Intelligent Progressive Repository for Insights Learning) also scored startups based on multiple factors to figure out their funding readiness.
A diet recommendation engine was designed as part of the platform.The recommendation engine considered parameters such as height, weight, metabolism, life-style patterns and health goals, to churn out daily diet plans for the users.
