Humanloop provides the infrastructure for managing prompts as first-class engineering artifacts rather than disposable strings. The platform offers prompt versioning with diff views, deployment environments for staging and production, and A/B testing to compare prompt variants against real traffic. Teams can collaboratively edit prompts, review changes, and deploy updates with confidence using rollback capabilities — bringing the same rigor to prompt management that exists for code deployment.
The evaluation system combines automated metrics with human review workflows. Automated evaluations run predefined test suites against prompt changes to catch regressions before deployment, while human evaluation interfaces let domain experts rate outputs for quality, accuracy, and safety. The platform tracks evaluation results over time, providing visibility into how prompt changes affect output quality across different use cases and model versions. This closed-loop approach ensures continuous improvement of LLM application quality.
Humanloop is YC-backed and serves enterprise teams building production LLM applications. The platform integrates with major LLM providers including OpenAI, Anthropic, Google, and self-hosted models, providing a unified interface for managing prompts regardless of the underlying model. For teams where prompt quality directly impacts user experience and business outcomes, Humanloop provides the tooling to treat prompt engineering as a disciplined, measurable practice rather than ad-hoc experimentation.