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Humanloop was acquired by Anthropic in 2025 after operating independently for approximately five years and raising $10.7 million in venture funding. The standalone platform was subsequently sunsetted, and the team and technology were integrated into the Anthropic Console. Humanloop's features now exist as the Workbench and Evaluations tabs within Anthropic's enterprise suite, accessible to Claude API customers. Co-founders Raza Habib, Peter Hayes, and Jordan Burgess joined Anthropic as part of the deal.
Yes, but only through Anthropic's platform. The Workbench (prompt engineering with version control and A/B testing), Evaluations (automated grading against custom criteria), and human feedback workflows are now native features of the Anthropic Console. You'll need an Anthropic API account to access them, and some advanced enterprise features may require a custom Anthropic enterprise agreement. The legacy Humanloop SDK has been deprecated.
Based on our analysis of 870+ AI tools, the top three model-agnostic alternatives are LangSmith (from LangChain, with the largest community at 100K+ developers), Langfuse (open-source with self-hosting, used by 5,000+ teams), and Weights & Biases Weave (best for ML-mature teams already using W&B). LangSmith pricing starts at $39/user/month, Langfuse offers a generous free tier plus paid Cloud and Enterprise plans starting at $59/month, and W&B offers free personal accounts. All three support Claude, GPT-4, Gemini, and open-source models — preserving the multi-provider flexibility Humanloop offered before the acquisition.
Anthropic acquired Humanloop to gain the industry's most mature evaluation infrastructure and the team that built it. The acquisition addressed the gap between having capable models and providing enterprises with the tooling to measure, test, and trust AI outputs — essentially adding 'enterprise readiness' to Anthropic's offering for Fortune 500 clients. Humanloop's customer base of Duolingo, Gusto, Vanta, and AstraZeneca also provided Anthropic with direct relationships into key enterprise accounts. The acqui-hire reflected a broader trend of model providers absorbing tooling layers rather than partnering with them.
If you were a Humanloop customer and don't want to commit to Anthropic, the most direct migration path is to LangSmith or Langfuse, both of which offer documentation for onboarding from other LLMOps platforms. Export your prompt registry and evaluation datasets, then import the JSON-formatted prompts and test cases into the new platform. Evaluator criteria typically require manual reconfiguration, since each platform uses a different DSL for grading rules. Budget approximately one to two engineering weeks per production application for full migration.
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