On-chain risk intelligence and AI agents for DeFi protocols
Chaos Labs builds risk analysis and security tools for decentralized finance protocols, with a recent pivot toward AI-driven financial agents. The tech stack (Node.js, Python, React, FastAPI, LangChain, RAG) and active project list (AI financial agent platform, multi-agent system design, MCP servers) show a shift from static dashboards toward agentic AI systems. Pain points around productionizing LLM agents and scaling AI under cost constraints suggest they're navigating the infrastructure gap between research prototypes and production financialworkflows.
Chaos Labs is a New York–based DeFi infrastructure company founded in 2021, operating at 11–50 people. They provide risk intelligence, security analysis, and oracle-like insights to major protocols in the Ethereum ecosystem. The platform combines real-time data pipelines with AI-powered dashboards and increasingly, autonomous agents designed to inform on-chain economic decisions. Distribution is protocol-direct; their customer base includes established DeFi applications. The company is hiring primarily senior engineers and data specialists across the US and Israel.
Node.js, Python, React, GraphQL, FastAPI, TypeScript, AWS, GCP, LangChain, and RAG frameworks. They use Google Workspace, Slack, and Notion for operations.
Risk dashboards, alert systems, GraphQL APIs, AI financial agent platforms, and multi-agent system design for financial workflows. They are also building and operating MCP servers.
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