Humanloop
humanloop.com
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Overview
Humanloop was founded in London in 2020 to give product teams a disciplined workflow for building with large language models. Its platform managed prompts as versioned artefacts, collected human feedback and ran evaluations so that changes could be measured rather than guessed. In 2025 its team joined Anthropic and the standalone platform was wound down.
News
Anthropic Acquires Humanloop Co-Founders and Employees
AI startup Anthropic have acquired Humanloop, in an attempt to strengthen its arsenal ahead of rising competition.
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AI acqui-hiring spree continues with Anthropic snapping up Humanloop team
Co-founded by Irishman Peter hayes, the UK-based AI platform Humanloop has been acqui-hired by fast-growing AI player Anthropic.
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Anthropic nabs Humanloop team as competition for enterprise AI talent heats up
While an Anthropic spokesperson confirmed that the AI firm did not acquire Humanloop or its IP, that's a moot point in an industry where IP lives in the brain. And what Humanloop's team is bringing to Anthropic is experience developing the tools that help
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AI Is Blurring the Line Between PMs and Engineers
AI is blurring the line between PMs and engineers; now PMs and domain experts can drive product creation through prompt engineering.
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Humanloop is moving to General Availability
Today we're excited to open access to Humanloop for all enterprises building AI products with LLMs
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LLM Evals Done Right - Lessons from Bryan Bischof of Hex AI
I recently sat down with Bryan Bischof, Head of AI at Hex, to understand how Hex approaches evals and what lessons other teams can take from their experience.
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Humanloop CEO Raza Habib shares 5 common mistakes teams make when building with LLMs Y Combinator
After working with hundreds of teams to make better products with LLMs, Humanloop CEO Raza Habib shares some of the most common mistakes he's seen.
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Humanloop: Providing picks and shovels for the AI gold rush
A Y Combinator alumnus, Humanloop emerged in 2020 as a spin-out of University College London, where co-founder Peter Hayes was doing a PhD.
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How to Maximize LLM Performance
An overview of the techniques that OpenAI recommends to get the best performance of your LLM applications. Covering best-practices in prompt engineering, retrieval-augmented generation (RAG) and fine-tuning.
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OpenAI's plans according to Sam Altman
Last week I had the privilege to sit down with Sam Altman and 20 other developers to discuss OpenAI's product plans. Sam was remarkably open. The discussion touched on practical developer issues as well as bigger-picture questions related to OpenAI's miss
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London
United Kingdom
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1-10 est. staff