Sam Green’s Cambrian Secures $5.9M to Revolutionize AI-Powered Finance

Sam Green, a visionary at the intersection of AI, blockchain, and financial intelligence, is taking a major step forward with his latest venture, Cambrian.
The company has successfully raised $5.9 million in a seed round led by a16z’s CSX accelerator program, positioning itself as a key player in the rapidly evolving landscape of AI-powered financial agents.
Green, a seasoned expert in AI and cryptography, has long been at the forefront of innovation. Before founding Cambrian, he co-founded Semiotic Labs, a core developer team of The Graph, and contributed to Odos, a major liquidity aggregator that has facilitated billions in trading volume.
His expertise, backed by a PhD in reinforcement learning, has positioned him as a leader in building the infrastructure necessary for AI agents to operate in high-stakes financial environments.
Cambrian’s mission is to provide financial agents with hyperaware intelligence by integrating on-chain and off-chain data. Its technology ensures AI models can process vast amounts of verified financial information, allowing for precise, risk-aware decision-making.
With support from Stanford’s Blockchain Builders Fund and prominent angels from The Graph ecosystem, Cambrian is set to redefine the way AI interacts with financial markets.
Participation in a16z’s accelerator marks a pivotal moment for Cambrian as it prepares to launch its testnet and mainnet. Green’s leadership and deep understanding of AI-driven finance have already attracted key partnerships, including collaborations with EigenLayer and Virtuals. Cambrian’s first AI agent, Deep42, is already delivering high-quality DeFi insights, showcasing the practical applications of its data solutions.
Green envisions a future where AI agents operate with unparalleled financial intelligence, bridging the gap between data and decision-making. With this funding, Cambrian is poised to lead the agentic finance revolution, empowering AI to navigate complex markets with certainty and efficiency.