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Anthropic Acquires Humanloop Team to Boost Enterprise AI Capabilities
August 13, 2025
Anthropic has hired the co-founders and most of the staff from Humanloop, a startup specializing in prompt management, LLM evaluation, and AI observability, as part of its push to strengthen its enterprise strategy.
The deal’s terms were not disclosed, but it follows the common “acqui-hire” approach aimed at securing top AI talent. Humanloop’s co-founders — CEO Raza Habib, CTO Peter Hayes, and CPO Jordan Burgess — have joined Anthropic along with about a dozen engineers and researchers. While Anthropic did not acquire Humanloop’s assets or intellectual property, the incoming team brings deep expertise in building tools to help enterprises deploy safe, reliable AI systems at scale.
“Their proven experience in AI tooling and evaluation will be invaluable as we continue to advance our work in AI safety and building useful AI systems,” said Brad Abrams, API product lead at Anthropic.
Founded in 2020 as a University College London spinout, Humanloop participated in Y Combinator and the Fuse Incubator before raising $7.91 million in seed funding from YC, Index Ventures, and others. The company earned recognition for helping enterprise clients — including Duolingo, Gusto, and Vanta — develop, evaluate, and fine-tune AI applications. Last month, Humanloop told customers it would be shutting down in preparation for the acquisition.
The move comes as Anthropic expands its enterprise offerings, including longer context windows for its models and compliance features designed for government and corporate buyers. Earlier this week, the company struck a deal with the U.S. government’s central purchasing arm to provide AI services to agencies across all branches for just $1 per agency in the first year — undercutting OpenAI’s similar offering.
Anthropic, which brands itself as a “safety-first” AI company, sees Humanloop’s evaluation workflows as a natural fit. These tools provide continuous performance monitoring, safety guardrails, and bias mitigation — all essential for high-stakes enterprise AI deployments.
“From our earliest days, we’ve been focused on creating tools that help developers build AI applications safely and effectively,” Habib said. “Anthropic’s commitment to AI safety research and responsible AI development perfectly aligns with our vision.”
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