Omega Point

Most investment teams running multi-manager or multi-strategy structures face the same problem: risk and performance data live in separate tools, and by the time a CIO gets a consolidated view, the opportunity to act has passed. Omega Point addresses this directly with an investment intelligence platform built around a multi-lens attribution framework that analyzes portfolios simultaneously through factor, thematic, macro, and crowding dimensions. The CEO co-founded the firm after building Two Sigma's global equity research survey platform, and that quantitative-institutional DNA is visible in the product's depth.

The platform serves four distinct roles within an investment organization:

• CIOs use firmwide dashboards to evaluate manager performance and monitor aggregate exposures across strategies
• Portfolio managers run real-time what-if simulations and trade analysis without waiting on risk or data science teams
• Risk managers decompose exposures by factor, theme, or macro lens and share results directly from the same interface
• Data scientists access a Python and REST API to deploy analytics at scale without rebuilding infrastructure

Omega Point reports over $7 trillion in client AUM running on the platform, with a client base spanning pension funds, sovereign wealth funds, and hedge funds. The platform is SOC 2 Type II certified, integrates with data providers including MSCI, FactSet, S&P Global, Axioma, and Databricks, and allows firms to bring proprietary data alongside external feeds. Pricing is not disclosed publicly, though the site notes that enterprise access is available and that a Professional-level tier exists for smaller funds. The platform's stated focus is listed equities and factor-based strategies; teams running predominantly private markets or fixed income portfolios will find less native support for those asset classes.

• Multi-lens factor, thematic, macro, and crowding attribution
• Firmwide risk monitoring across multi-manager or multi-strategy structures
• Real-time portfolio simulation and what-if scenario analysis
• Portfolio construction and hedge basket optimization
• Manager performance evaluation and validation against stated mandates
• API-based analytics deployment for data science and research teams

• Multi-lens attribution across factors, themes, macro, and crowding
• Real-time portfolio simulation and trade impact analysis
• Smart hedge basket construction for offsetting unwanted exposures
• Multi-portfolio consolidation and firmwide risk dashboards
• Python and REST API with notebook support
• AI Teammates for proactive portfolio summaries and anomaly detection
• Custom thematic tagging for proprietary signals
• No-code and low-code interface for non-technical users
• Unified data cloud with ingestion from internal and external sources
• SOC 2 Type II certified data infrastructure with full audit lineage

Built for Investment Teams, CIO / Investment Office, Fund Managers.

Dedicated support team assists clients with strategy building, dataset application, and custom basket construction. Customer success function referenced.