Epoch AI is a data-first research nonprofit that investigates the trajectory, trends, and governance of artificial intelligence. The institute develops databases and hosting tools tracking AI inputs such as machine learning hardware, training compute, data centers, and investments, while also running independent model evaluations and benchmarks.
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Epoch AI is an ai/ml company. Xcout tracks 9 named people at Epoch AI, including Jaime Sevilla (CEO). Xcout recorded 21 job postings from Epoch AI in the last 90 days.
3 more named people on record for Epoch AI, with roles, board committees and tenure — see the full roster →
Xcout recorded 21 job postings from Epoch AI in the last 90 days, from a hiring record Xcout has kept since July 2026.
The weekly hiring trend, the roles and locations behind it — see Epoch AI's hiring signals →
A few of Epoch AI's closest competitors — see the full list of competitors and alternatives →
Apollo Research conducts fundamental research into frontier AI safety, focusing on detecting and mitigating scheming, strategic deception, and misaligned behavior. The company provides pre-deployment evaluations and runtime monitoring tools, such as Watcher, to secure AI systems for enterprise clients, developers, and governments.
The AI Now Institute is an independent research organization providing expert analysis on the societal impacts of artificial intelligence in the public interest.
FAR.AI (Frontier Alignment Research) is an artificial intelligence safety non-profit organization headquartered in Berkeley, California, with an office in San Diego. The organization advances technical AI safety research and supports independent scholars through targeted grantmaking.
Transluce, registered as Clarity AI Research Inc., is a 501(c)(3) nonprofit research organization based in San Francisco, California, focused on democratic oversight of AI.
Goodfire AI, Inc. is a public benefit corporation founded in 2023 and headquartered in San Francisco, California. It operates as an artificial intelligence research lab focused on interpretability, aiming to understand and intentionally design advanced AI systems.
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