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Platform

Prompt management
built for teams

Best in class tools to collaboratively manage and accelerate your prompt engineering from playground to production.

...we had to develop and test many new prompts for a new feature release. I cannot imagine how long it would have taken us to release this new feature without Humanloop.
Maddy Ralph

Maddy Ralph

Prompt Engineer at Twain

Collaborative workspace for team efficiency

Unify your engineering, product, and subject matter experts on a single platform to drive alignment and accelerate outcomes.

Our seamless workflow promotes collaboration and spreads the adoption of best practices across your entire organization.

Collaborative workspace interface

Safely iterate on prompts with version control

Enable anyone to experiment with which prompt produces the most accurate outputs for your use case, see history of changes, evaluate how they perform, and rollback with ease when needed.

Maintain coding best practices by integrating with your existing workflow like Git and CI/CD pipelines.

Version control interface
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use cases

Book a 1:1 demo for a guided tour of the platform tailored to your organization.

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One powerful Playground for all models

Create, test, and deploy all your prompts in code or in our user-friendly interface no matter what proprietary or open source model you use.

Enhance your agents or prompts capabilities by easily connecting external tools and automatically trigger evaluations to track performance.

Playground interface for all models

End-to-end Prompt optimization

Your prompts are deeply integrated with Humanloop's evaluations and observability capabilities into a unified platform, providing better insights that help you to continuously optimize your model performance.

Retain full ownership of your prompt data and maintain export capability whether storing prompts in code or on Humanloop.

Unified platform: prompts, evaluations, and observability
Building AI products is a collaborative effort. With Humanloop, every product and engineering team gets 100% visibility into AI product performance. Our teams can iterate on prompt engineering, share learnings and best practices across product lines, and rely on automatic evaluation sets to ensure consistency.
Daniele Alfarone

Daniele Alfarone

Sr. Director of Engineering at Dixa

Ready to build successful AI products?

Book a 1:1 demo for a guided tour of the platform tailored to your organization.

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