Sibli

Sibli is a platform for institutional investors to capture, connect, and compound their investment knowledge. It converts internal research, forecasts, and analyst logic into a secure, structured data asset. The platform helps improve forecast accuracy, personalize research, and perform fund-wide analytics.

Key Features

• Forecast Management: Centralize forecasts with access control and full auditability.
• Scenario Analysis: Model portfolio impact from macro, sector, or company-specific events.
• Dynamic Consensus: Compare forecasts to consensus estimates of fundamentals and drivers.
• Company Scoring: Automate qualitative assessment for new and existing companies.
• Enterprise Data Readiness: Deliver structured, governed data into risk and analytics workflows.
• Alpha Capture: Understand analyst estimation accuracy for granular drivers.
• Automated Research: Receive event-driven alerts tied directly to forecasts and views.
• Controversy Monitoring: Automatically identify and track controversies affecting holdings.
• Total Portfolio Approach: Level common forecast assumptions across the fund.

Technology

• Financial Model Processing: Ingests Excel forecasts without templates, standardizing data across holdings, portfolios, and timeframes.
• Causal Discovery: Maps cause-and-effect relationships behind performance.
• Text Parsing and Agent Chains: Orchestrates AI-powered research, monitoring, and analysis in a secure environment.

Deployment

• Private cloud deployment in the client's VPC.
• User access via interface or internal systems.
• System integration via API or Model Context Protocol (MCP).

Key Benefits

• Converts internal research and forecasts into a structured data asset
• Provides full auditability and version control for forecasts
• Integrates with existing workflows via API and MCP
• Supports secure private cloud deployment