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Humanloop

Freemium
llmopsaideveloper toolsprompt engineeringmachine learningevaluationfine-tuninga/b testingobservability

Humanloop is an essential toolkit for any team serious about deploying and iterating on LLM applications in production. It provides the observability and evaluation framework needed to build reliable AI-powered features, though its cost may be a factor for smaller projects.


The platform for building reliable LLM applications with tools for evaluation, experimentation, data collection, and fine-tuning.

Humanloop is an LLMOps platform designed for developers and teams building applications on top of large language models (LLMs). It provides a comprehensive suite of tools to manage the entire lifecycle of an LLM-powered feature, from initial prompt engineering to production monitoring and continuous improvement. The platform acts as a central hub for experimenting with different models and prompts, evaluating their performance with A/B tests, and tracking costs. Key to Humanloop is its ability to create a feedback loop. It allows developers to collect explicit and implicit feedback from users directly within their application, log all model inputs and outputs, and use this real-world data to identify issues and opportunities for improvement. This data can then be used to fine-tune models for better performance, accuracy, and reliability. Humanloop is built for teams that need to move beyond simple API calls and require a more robust, scalable, and data-driven approach to developing production-grade AI products.

Pros

  • Centralizes the entire LLM development lifecycle
  • Powerful evaluation framework for data-driven decisions
  • Closes the loop between user feedback and model improvement
  • Supports a wide range of model providers (OpenAI, Anthropic, etc.)
  • Excellent for team collaboration on prompt development
  • Reduces the complexity of fine-tuning models

Cons

  • Can have a steep learning curve for those new to LLMOps
  • Pricing can become expensive as data volume grows
  • The UI can feel complex with its wide range of features
  • Primarily focused on text-based LLMs

Key features

  • Model evaluation and A/B testing framework
  • Collaborative prompt playground for prompt engineering and versioning
  • Collect thumbs up/down and free-form user feedback in-app
  • Fine-tuning dashboard for models like GPT-3.5
  • Centralized logging and observability for all LLM calls
  • SDKs for Python and TypeScript/JavaScript
  • Automated data annotation and labeling from raw logs
  • Model-based evaluation for automated quality scoring

Integrations

OpenAIAnthropicGoogle Vertex AICohereLangChainLlamaIndexPineconeWeaviateSlack

Target audience

Software developers, AI/ML engineers, and product teams building with large language models.


Ratings & Reviews

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Key Metrics

Founded

2020

Headquarters

London, United Kingdom

Pricing Tiers

Free

Free

Growth

$100/mo

Scale

$500/mo


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