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
Freemium
Évaluation des LLM, gestion des prompts et observabilité pour équipes IA
Qu'est-ce que Humanloop ?
Humanloop is an enterprise LLM evaluation platform for teams building AI features, with evaluation, prompt management, and observability in one feedback loop.
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.
Que peut faire Humanloop ?
Prompt management
Manage prompts in a collaborative workspace with versioning, rollback, and deployment controls, so teams can track changes over time.
Experiment comparison
Run experiments, compare results, and inspect performance issues in the UI to understand how model changes affect outputs.
Observability and feedback
Collect logs, feedback, and human judgments from applications and evaluations to monitor behavior in production and close the feedback loop.
CI/CD integration
Integrate evaluations into CI/CD and use version-controlled datasets to detect regressions before they reach production.
Collaborative workflows
Support UI-first and code-first workflows so engineers, PMs, and subject matter experts can collaborate in the same platform.
Cas d'utilisation
“Test changes before release”
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.
“Collaborative prompt iteration”
Let engineers and domain experts review prompts in a shared workspace, track history, and roll back changes when a prompt underperforms.
“Regression detection in delivery pipelines”
Add automated evaluation checks to CI/CD with version-controlled datasets to catch regressions before they reach production.
“Production monitoring and feedback”
Monitor production outputs with logs, feedback, and human judgments so teams can trace issues and improve prompts or models after release.
“Cross-functional AI development”
Use the platform to support teams that need both a UI for non-technical contributors and code-based workflows for engineering implementation.
Questions fréquentes
What is Humanloop?
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.
Who is Humanloop for?
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.
What does Humanloop log?
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.
Can I export my data from Humanloop?
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.
Does Humanloop offer a trial or enterprise plan?
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.
Informations rapides
- Category
- LLM evaluation platform
- Primary users
- Engineers, product managers, and subject matter experts
- Workflow
- Evaluation, prompt management, and observability
- Pricing
- Free trial available; enterprise plans and contact sales options listed
- Deployment
- Cloud, VPC add-on, and region-specific deployment options
- Source domain
- humanloop.com
Analyse du trafic de Humanloop
Les données de trafic sont fournies à titre indicatif uniquement.
- Évaluation du domaine
- 61
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