Sibli

Sibli is an investment research platform that turns an asset manager's own forecasts, analyst notes and Excel models into a structured, auditable data asset. Rather than leaving analyst logic scattered across spreadsheets and email, it centralizes forecasts with access control, tracks how each analyst's estimates compare with market consensus, and feeds that structured research into risk and analytics workflows. It is built for global asset managers, pension funds, hedge funds and other institutional investors. Capabilities include forecast management with centralized access control and an audit trail, scenario analysis that models portfolio impact, dynamic comparison of house forecasts against consensus estimates, automated company scoring, analyst accuracy tracking for alpha capture, event driven research alerts and controversy monitoring across holdings. Under the hood the vendor describes financial model processing that ingests Excel forecasts, causal discovery that maps performance drivers, and text parsing with agent chains that run in secure environments. Deployment is into the client's own virtual private cloud, with API connectivity to internal systems. Pricing is not published. Engagements are arranged directly with the vendor and there is no self service tier or public price list. The platform is operated by SR AI Inc., a Canadian company that has received funding from the Federal Economic Development Agency for Southern Ontario.