Humanloop
Evaluate and optimize LLM applications in production.
Overview
Humanloop helps teams test, monitor, and improve large language model applications through systematic evaluation and feedback loops. It's designed for developers and ML engineers building production AI features who need to measure quality, reduce costs, and iterate quickly. The platform focuses on practical optimization rather than model training.
Pros
- Compare LLM outputs side-by-side with automated and human evaluation
- Monitor production performance with real-time logging and analytics
- Integrate with multiple LLM providers through unified API
- Run A/B tests to measure quality improvements before deployment
- Collect human feedback to fine-tune models and prompts
✕ Cons
- Requires engineering setup and API integration to use effectively
- Pricing scales quickly with production volume and evaluations
- Limited to LLM evaluation; doesn't handle full ML pipeline
Key Features
Use Cases
Best For
Frequently Asked Questions
What is Humanloop's pricing model?▾
How steep is the learning curve for getting started?▾
What integrations and APIs does Humanloop support?▾
What is the main limitation of Humanloop?▾
Who should use Humanloop?▾
Pricing Plans
Free
- 2 members
- 50 eval runs
- 10K logs per month
- Prompt Engineering
EnterpriseMost Popular
- VPC deployment
- SSO + SAML
- Role-based access controls
- Dedicated Account Manager
Similar Tools
Verified Info
Ratings & Reviews
Rate Humanloop
Alternatives to Humanloop
View AllFramework for building applications with language models
AI-powered search API that understands natural language queries.
Constrain LLM outputs to valid JSON, regex, or custom formats.
AI-powered API documentation and knowledge base generator
Convert entire repositories into single AI-friendly files
Run open-source models on Microsoft's managed compute infrastructure.