Humanloop — Build and Test LLM Applications
Humanloop is an LLM development and evaluation platform for product teams and engineers
Humanloop is an integrated development environment and evaluation platform designed specifically for teams building applications with large language models. This platform allows business owners and product teams to bridge the gap between initial prompts and production-ready AI features by providing tools for testing, monitoring, and refined data collection. By centralizing the iteration process, Humanloop ensures that every version of a prompt is tracked and measured against real-world performance metrics. The platform enables non-technical stakeholders to collaborate with engineers on prompt engineering and model selection within a single interface. Humanloop provides a comprehensive testing suite where users can run bulk evaluations to ensure that changes to AI models do not cause regressions in output quality. Features like A/B testing and human-in-the-loop feedback loops allow companies to continuously improve their AI accuracy based on actual user interactions. Business leaders use Humanloop to gain visibility into their AI costs and performance across different providers like OpenAI and Anthropic. The platform simplifies the deployment of custom NLP models by handling the complexities of versioning and infrastructure. You can find more details about this workflow on surfai.app as you scale your AI operations in 2026. This centralized approach reduces the risk of deploying unreliable LLM features while accelerating the time-to-market for new AI capabilities. Humanloop offers a freemium model with a generous free tier for developers and startups, while offering enterprise-grade features for scaling organizations.
- Pricing: freemium
Specifications
| Pricing | freemium |
|---|---|
| Integrations | OpenAI, Anthropic, LangChain, Slack, Google Sheets, Python SDK |
| Best for | product-managers, software-engineers, ai-startups, data-scientists |
| Website status checked | 2026-10-23T12:01:11.594+00:00 |
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