Platform

Evaluate. Optimize.
Ship with Confidence.

Remove the guesswork from your AI development with actionable insights about your model performance as you move from test to production. Be confident making changes knowing your model is performing as expected.

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We don’t make any new LLM deployment decisions before evaluating new models via Humanloop first. The team has evaluation performance metrics that give them confidence.

Daniele Alfarone

Sr. Director of Engineering at Dixa

Full evaluators suite:
code, human, AI

Automate and scale your evals with code or LLM-as-a-judge evaluators that encompass best practices, runs fast, and are fully managed on our platform.

Establish ground truth by inviting your subject matter experts to our friendly interface for feedback – eliminating the need for cumbersome spreadsheets and fragmented workflows.

For ultimate flexibility, integrate your own external evaluators tailored to your unique business requirements.

Comprehensive evaluation suite showcasing code, human, and AI-based assessment methods

Freely experiment, get data driven insights

Easily benchmark your AI application so you can adopt new-generation models without risking your reputation.

Run experiments, compare results in our intuitive UI, and deep dive with powerful tools to uncover performance issues and root causes.

Data-driven insights and experiment comparison interface

Accelerate your AI
use cases

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

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With Raza Habib

Cofounder & CEO

Get started fast with templates

Accelerate time to value by incorporating our library of pre-built evaluators for common use cases like retrieval and recall, or easily customize them to your business use case.

Our unified platform to manage and run your evaluator makes it simpler for you to automate and track performance.

Catch regressions within your CI/CD

Easily integrate evaluations into your existing workflow for fast automated testing, and detect regressions or performance issues before they reach production.

Maintain consistency by running reproducible evaluations with version controlled datasets to track changes and performance results.

Before Humanloop, our prompt management and evaluation process was extremely manual and time-consuming, done entirely on spreadsheets by legal domain experts. This created a significant bottleneck that slowed down our product roadmap and prevented us from adopting powerful new models.