Evaluation workflows
Evaluate model changes with code, human, or AI evaluators, including LLM-as-a-judge workflows and external evaluators tailored to a business context.
Humanloop is an enterprise LLM evaluation platform for teams building AI features, with evaluation, prompt management, and observability.
Humanloop is an enterprise LLM evaluation platform for teams building AI features. Its core product areas are evaluation, prompt management, and observability, which are designed to work together in a fast feedback loop from development through production.
The platform supports both UI-first and code-first workflows so engineers, product managers, and domain experts can collaborate on prompt engineering, testing, monitoring, and iteration. The docs describe it as tooling for developing robust AI features with LLMs, and the pricing page presents enterprise options alongside a free trial and deployment choices for larger teams.
Evaluate model changes with code, human, or AI evaluators, including LLM-as-a-judge workflows and external evaluators tailored to a business context.
Manage prompts in a collaborative workspace with versioning, rollback, and deployment controls, so teams can track changes over time.
Run experiments, compare results, and inspect performance issues in the UI to understand how model changes affect outputs.
Collect logs, feedback, and human judgments from applications and evaluations to monitor behavior in production and close the feedback loop.
Integrate evaluations into CI/CD and use version-controlled datasets to detect regressions before they reach production.
Support UI-first and code-first workflows so engineers, PMs, and subject matter experts can collaborate in the same platform.
Benchmark new model or prompt changes against existing behavior, compare results in the UI, and use evaluators to decide whether a change is ready to ship.
Let engineers and domain experts review prompts in a shared workspace, track history, and roll back changes when a prompt underperforms.
Add automated evaluation checks to CI/CD with version-controlled datasets to catch regressions before they reach production.
Monitor production outputs with logs, feedback, and human judgments so teams can trace issues and improve prompts or models after release.
Use the platform to support teams that need both a UI for non-technical contributors and code-based workflows for engineering implementation.
Humanloop is an LLM evals platform for enterprises. It brings together evaluation, prompt management, and observability so teams can develop, test, and monitor AI features in one place.
The platform is designed for both engineers and product managers or domain experts. The docs describe both UI-first and code-first workflows so different team members can work on prompts and evaluations together.
Humanloop says a log is created for each call to a Prompt, Tool, Evaluator, or Flow. Logs capture inputs, outputs, metadata, and related feedback or judgments.
Humanloop says customers can export their data at any time. The docs also note that the platform will be sunset on September 8, 2025, and point users to the Migration Guide for exports.
Humanloop offers a free trial with access to the features in the selected plan, subject to log and evaluation volume limits. The pricing page also includes enterprise options, VPC deployment add-ons, and contact sales for tailored plans.