Humanloop

Humanloop is the definitive LLM evaluation platform designed for enterprises aiming to build, deploy, and scale successful AI products. It addresses the core challenges of AI development, which differs significantly from traditional software engineering by being data-driven, subjective, and stochastic. Humanloop provides a unified environment where product, engineering, and domain experts can collaborate effectively to accelerate the AI development lifecycle with confidence and control.

The platform is built on three pillars: Develop, Evaluate, and Observe. It empowers teams to move beyond manual, spreadsheet-based processes and adopt a systematic, data-driven approach to building with Large Language Models (LLMs). By offering robust tools for prompt management, versioning, automated evaluation, and production monitoring, Humanloop ensures that AI features meet business objectives, maintain high-quality standards, and are compliant with enterprise security requirements.

How to use Humanloop

Using Humanloop involves a collaborative workflow tailored for different roles within an AI product team:

1. Engineers: Integrate Humanloop into your development workflow using its SDKs and APIs. Connect your applications to any LLM provider (OpenAI, Anthropic, etc.) through Humanloop. Implement automated evaluation checks into your CI/CD pipeline to prevent performance regressions before deployment. Use the detailed tracing and logging features to debug complex systems like RAG (Retrieval-Augmented Generation).
2. Product Managers & Domain Experts: Use the intuitive, no-code UI to collaborate on prompt engineering. Experiment with different prompts, models, and parameters in the Prompt Editor. Provide crucial feedback and judgments on model outputs through the human review interface. Create and manage datasets for evaluating specific use cases.
3. Team Collaboration: The entire team uses Humanloop as a single source of truth. Engineers can sync UI-based prompt changes with the codebase. PMs can monitor performance against business KPIs. Domain experts can ensure the AI's outputs align with their specialized knowledge. This iterative loop of development, evaluation, and feedback accelerates product velocity and improves model performance.

Core Features of Humanloop

• LLM Evaluations: Comprehensive framework for both offline and online evaluations. Use code-based evaluators, AI-powered evaluators (LLM-as-a-Judge), and intuitive human review workflows. Integrate evals into your CI/CD pipeline to catch regressions automatically.
• Prompt Management: A collaborative Prompt Editor for teams to iterate on prompts. Features full version control, allowing you to track every change and deploy specific versions with confidence. Supports function calling and multi-LLM playgrounds.
• AI Observability: Monitor your AI systems in production. Get alerts and set up guardrails for issues like performance degradation or unexpected costs. Capture and analyze user feedback on live data to continuously improve your models.
• Advanced Tracing & Logging: Gain deep visibility into every step of your AI system's execution, which is crucial for debugging complex chains and RAG systems. Each call to a model, tool, or flow is logged with inputs, outputs, and metadata.
• Enterprise-Grade Security & Compliance: SOC 2 Type II certified and GDPR compliant. Offers options for VPC deployment, EU/US data hosting, Role-Based Access Control (RBAC), and SSO/SAML to meet strict enterprise security needs. HIPAA compliance is available via BAA.

Use Cases for Humanloop

Humanloop is versatile and has been instrumental for companies across various industries:

• Customer Support Automation (Dixa): Dixa, a customer service platform, used Humanloop to 3x its AI product release velocity. They built features for text summarization, translation, and automated answer recommendations, all while ensuring GDPR compliance and high accuracy.
• Legal Tech (Filevine): Filevine leveraged Humanloop to enable collaboration between legal experts and engineers, launching six AI products in a year and doubling revenue. The platform helped manage the complexity of prompt engineering for specialized legal tasks.
• Marketing Technology (FMG): FMG saved 15x in costs by using Humanloop's evaluation tools to fine-tune smaller, more efficient models that matched the performance of larger ones like GPT-4, ensuring reliability in a regulated industry.
• Sales Enablement (Twain): Twain, an AI communication assistant, drastically reduced development time for complex features by allowing linguists and engineers to collaborate seamlessly on the platform.

Advantages of Humanloop

Humanloop provides a significant competitive edge by centralizing and streamlining AI development. Key advantages include accelerating time-to-market for AI features, improving collaboration between technical and non-technical stakeholders, ensuring consistent quality and reliability of AI outputs through rigorous evaluation, and reducing operational costs by optimizing model usage. Its focus on enterprise security and compliance makes it a trusted choice for organizations handling sensitive data.

Pricing and Plans

Humanloop offers a flexible pricing structure to accommodate teams of different sizes and needs:

• Free Trial: A free plan to get started, which includes access for 2 team members, 50 evaluation runs, and up to 10,000 logs per month. This is ideal for small teams and initial prototyping.
• Enterprise Plan: A custom plan designed for scale. It includes all platform features plus enterprise-level support and security, such as SSO & SAML, advanced role-based access controls, hands-on support with an SLA, and an optional VPC deployment add-on. Pricing is available upon contacting the sales team.
• Startup Program: A special program for early-stage, VC-backed startups to equip them with the right tools as they scale.

You bring your own API keys from AI providers like OpenAI or Anthropic, paying for model usage directly with them. This ensures you can leverage any custom terms or fine-tuned models you have.