Develop AI features with confidence

Find, manage and measure prompts for LLMs
Seamless collaboration across teams
Enterprise-grade evaluations and monitoring

Building with AI is a team effort.
You're wasting time with bad workflows.

google-sheetsmixpanelsegment
Sound familiar?
Copy-pasting prompts between OpenAI and code
Prompts managed in spreadsheets
High effort manual evaluation and workflows
Changes causing performance regressions
Humanloop solves this
Collaborative playground with history
Prompt management and deployment controls
Backtest changes and confidently update models
Capture feedback and run quantitative experiments
Humanloop

A shared workspace where PMs, Engineers and Domain Experts collaborate on building AI features

Evaluate prompts

Humanloop is the first platform that combines software best practices with the needs of LLMs in a unified platform. Empowering your whole team to drive AI improvement.

Best-in-class Playground
Manage and iterate on prompts across your organization
Evaluation + monitoring suite
Debug prompts, chains or agents before shipping to production
Customization + optimization tools
Connect private data and fine-tune for differentiated model performance
Developers

Easy integration into your production applications

Your prompts are version controlled, and deployments can be executed by PMs or within your existing CI/CD system.

Collaboration. Enable domain experts to contribute to prompt engineering — all version controlled.
All the models. OpenAI, Anthropic, Llama2 and your own models.
Evaluation. Manage test data, define your own metrics and integrate into your CI/CD workflows.
pip install humanloop
Python SDK
TypeScript SDK
1from humanloop import Humanloop
2
3humanloop = Humanloop(
4    api_key="HUMANLOOP_API_KEY",
5    openai_api_key="OPENAI_API_KEY",
6)
7
8response = humanloop.complete(
9    project="sdk-example",
10    model_config={
11      "model": "gpt-4",
12      "prompt_template": "Write a joke about {{topic}}",
13    },
14    inputs={"topic": "stochastic parrots"}
15)

Loved by developers and product teams

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Aman Sanger
Cursor
Humanloop has been great for monitoring how users are invoking Cursor. This is useful for tailoring the product in a direction that best supports common use-cases.
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Casey Clifton
@cj_clifton
Using GPT in your product or business? This is a non-sponsored recommendation to check out @humanloop - it lets you easily track and identify which prompts work best for your users 🚀
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Amélie Chatelain, LightOn
LightOn
Humanloop has been invaluable for evaluating our models — the direct, quantitative metrics aligned with human judgments have guided us to maximize model performance!
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Cherian Koshy
NonProfitOS
I was searching for a solution to differentiate ourselves from vanilla applications that didn't focus on the specific needs of our sector. Humanloop is a must-have resource.
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Michael Slade
Retainit
This allows us to achieve a level of sophistication with GPT that would otherwise be impossible.
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Chris Dossman
FAQx
Been using Humanloop for a while and it really helps us build our LLM applications. Their one-click finetuning pipeline is great.
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John Shahawy
Moonbeam
Humanloop helped us ship and scale to thousands of DAUs. Version management, A/B testing prompts and fine tuning have been game changers.
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Stew Fortier
@stewfortier
If you're building stuff with LLMs, I highly recommend following @RazRazcle & @humanloop. One of the best teams in the space
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Ivee
@ivee
I've been using @humanloop for work, and it is such a powerful AI tool.
You can create prompts that will automate your otherwise time-consuming tasks!
Enterprise

Humanloop enables AI for the enterprise

Adopt AI throughout your organization safely and securely with Humanloop's collaborative platform.
Data Privacy and Security
Activate LLMs with your private data, safely and securely. You own your data and models.
Fast support
End-to-end monitoring of your AI applications, support guarantees from trusted AI experts.
Shared learnings across your org
Adopt best practices and share learnings throughout your organization.