Snowflake’s “Startup Spotlight” feature profiles Chaos Labs, a risk management and on-chain security platform that uses big data and AI—running on the Snowflake AI Data Cloud—to help DeFi and broader on-chain financial applications manage market and protocol risk in real time. The piece centers on an interview with founder and CEO Omer Goldberg, who explains that Chaos Labs was created to fill a gap in institutional-grade, data-driven risk tooling for on-chain finance at a time when hundreds of billions of dollars were moving through DeFi with limited real‑time risk controls. Chaos Labs’ systems, oracles, and AI models are positioned as infrastructure that helps leading protocols secure “billions in value” while keeping markets more stable and accessible. The article highlights that Chaos Labs built a blockchain‑specialized simulation platform to stress test and optimize exchanges, lending markets, and credit applications under extreme conditions, and that its stack calculates value-at-risk from millions of data points in real time for each application. A proprietary AI layer extracts signals from this data to forecast where risk is likely to concentrate, enabling the company to provide continuously updated risk parameters and on-chain execution guidance to its customers. Snowflake is presented as a core data backbone that lets Chaos Labs unify fragmented on-chain and market data at scale, power heavy simulations, and serve insights to a growing customer base via the Snowflake AI Data Cloud. Strategically, the feature frames Chaos Labs as building towards becoming a backbone of financial market infrastructure for on-chain finance—supplying oracles, risk data, and execution intelligence as the sector matures and institutional participation increases.

AI-generated background, compiled from web sources — not editorial content.

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