Humanloop

Streamline Large Language Model development with collaborative workflows, evaluation tools, and customization options for efficient, reliable, and differentiated AI performance.
Artificial Intelligence Development Large Language Model Deployment Collaborative AI Platform

Humanloop is a platform for building, testing, and deploying Large Language Models (LLMs) applications. It's designed to help teams overcome the challenges of LLM development, including inefficient workflows, manual testing, and poor team collaboration. Humanloop offers a shared environment where developers, product managers, and domain experts can collaborate to build and iterate on AI features.

Some of the key features of Humanloop include:

  • Collaborative Playground: Manage and iterate on prompts across your organization, with version control and history tracking.
  • Evaluation and Monitoring Suite: Debug prompts, chains, or agents before shipping to production, ensuring reliable AI performance.
  • Customization and Optimization Tools: Connect private data and fine-tune models for differentiated performance.

Humanloop supports popular LLM providers like OpenAI, Anthropic, and Llama2, so you can easily integrate your own models. The platform offers a Python SDK and TypeScript SDK for easy integration into your existing production applications.

Humanloop pricing tiers are:

  • Free: Great for rapid prototyping, includes 2 members, 1,000 logs per month, and community support.
  • Enterprise: Great for enterprise-wide deployments, includes SSO, role-based access controls, and hands-on support with an SLA.

Case studies demonstrate the value Humanloop brings to different industries. For example, Athena uses Humanloop to give their Executive Assistants AI capabilities, while Duolingo uses the platform to optimize their AI teaching experience. Gusto, Oviva Group, and other big names have also used Humanloop to bring AI to their operations.

By making it easier to develop and refine LLM applications, Humanloop helps teams work more efficiently, collaborate better, and ensure their AI works reliably. It's great for product teams, developers, and anyone building AI features who need to manage prompts, evaluate performance, and integrate their models into production applications.

Published on June 14, 2024

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