Strise is an AI-powered ESG risk platform built for institutional investors tired of spreadsheet-based due diligence. Instead of relying on lagging ESG ratings from traditional providers, Strise uses machine learning to surface real-time supply chain risks, labor violations, and environmental incidents that actually move portfolio companies. The platform aggregates unstructured data from thousands of sources—regulatory filings, news, satellite imagery, worker reports—and turns it into actionable risk scores that investors can trade on.
What sets Strise apart is its speed and granularity. While legacy ESG platforms deliver quarterly updates, Strise refreshes daily. It catches supply chain disruptions before they hit earnings calls and identifies geopolitical risks buried in subsidiary networks. The system learns from private investor feedback, getting smarter about what matters for specific asset classes and investment theses.
Strise positions itself as the anti-Morningstar approach to ESG—less about moral messaging, more about financial materiality. It's built for asset managers, insurers, and institutional investors who need ESG intelligence that moves faster than the news cycle. In an era where traditional ESG ratings are increasingly criticized for opacity and misalignment with actual risk, Strise offers a data-driven alternative that translates ESG into portfolio language: risk-adjusted returns.