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Humanloop

Freemium
llmaiprompt engineeringfine-tuningevaluationdeveloper toolsnlpllmopsa/b testing

Humanloop is a comprehensive platform for developers to build, evaluate, and improve AI applications powered by large language models, offering tools for prompt management, A/B testing, and continuous feedback collection.

Try it out

Humanloop provides a full-stack platform designed to close the gap between developing and productionizing large language model (LLM) applications. It enables development teams to experiment with, evaluate, and monitor various models from providers like OpenAI, Anthropic, and Google in one unified environment. The ideal users are software engineers, AI developers, and product managers who need to build reliable and scalable AI features. Humanloop's unique value proposition lies in its emphasis on continuous improvement through data, allowing teams to collect user feedback, label it, and use it for fine-tuning models or optimizing prompts. This creates a powerful feedback loop that moves beyond simple API calls to a more robust, product-centric approach to AI development.

Pros

  • Supports multiple LLM providers (OpenAI, Anthropic, Google, etc.), preventing vendor lock-in.
  • Comprehensive evaluation suite for A/B testing prompts, models, and parameters.
  • Streamlines the collection and annotation of user feedback to create data for fine-tuning.
  • Managed fine-tuning simplifies the process of improving model performance with custom data.
  • Collaboration features like shared projects, prompt templates, and feedback review facilitate teamwork.

Cons

  • The platform's extensive feature set can present a steep learning curve for new users.
  • The cost jump from the free plan to the entry-level paid plan can be significant for small projects.
  • May be overly complex for simple applications that don't require deep evaluation or fine-tuning.
  • Primarily focused on text-based LLMs, with less developed support for multi-modal applications.

Key features

  • Model-agnostic playground for experimentation
  • Prompt management and versioning
  • A/B testing for prompts and models
  • Usage logging and analytics dashboard
  • Human feedback collection and data annotation
  • Managed fine-tuning for models like GPT-3.5
  • Evaluation framework with pre-built and custom metrics
  • Python & TypeScript SDKs

Integrations

OpenAIAnthropicGoogle GeminiCohereLlama 2 (via Replicate/Anyscale)Hugging FacePythonTypeScript

Target audience

Software developers, AI/ML engineers, and product teams at startups and enterprises building applications on top of large language models.

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Founded

2020

Headquarters

London, UK

Pricing Tiers

Free

For individuals and small projects. Includes 10,000 monthly logged events, 2 projects, 2 seats, and access to all core features.

Free

Growth

For startups and growing teams. Includes 25,000 monthly logged events (with overages), unlimited projects, unlimited seats, and team collaboration features.

$125/mo

Enterprise

For large organizations with advanced needs. Includes everything in Growth plus features like SSO, dedicated support, custom data retention, on-premise deployment options, and enterprise-grade security.

Custom

Frequently Asked Questions

Top Alternatives to Humanloop

Langfuse

Choose Langfuse if you prefer an open-source solution with a strong focus on LLM observability, tracing, and debugging that you can self-host.

Vercel AI SDK

Opt for the Vercel AI SDK for its tight integration with the front-end and serverless functions, making it ideal for developers focused on building user-facing AI experiences.

Weights & Biases

Consider Weights & Biases if you are already using it for other MLOps workflows and want to extend its powerful experiment tracking and artifact management to your LLM projects.

Ready to get started?

Join thousands of users and see how Humanloop can transform your workflow today.

Visit Humanloop