Humanloop
Evaluate and optimize LLM applications for enterprise deployment
Target Audience
- Enterprise AI product teams
- ML engineers working on production systems
- Compliance officers in regulated industries
- Product managers overseeing LLM applications
Hashtags
Overview
Humanloop helps teams build reliable AI systems by combining technical development with real-world testing. It enables collaboration between engineers and domain experts to catch issues before users do. The platform focuses on maintaining AI quality as systems scale in production environments.
Key Features
Prompt Editor
Collaborative interface for developing and testing LLM prompts
Version Control
Track changes to prompts and datasets with full edit history
Multi-Model Support
Works with any LLM provider without vendor lock-in
Automated Evaluations
Run AI-assisted tests alongside code in CI/CD pipelines
Human Review
Subject matter experts can validate outputs through intuitive UI
Use Cases
Develop LLM-powered applications
Test AI system reliability pre-deployment
Monitor AI performance in production
Implement compliance guardrails for regulated industries
Pros & Cons
Pros
- Bridges gap between technical teams and domain experts
- Enterprise-grade security certifications (SOC-2, HIPAA, GDPR)
- Supports hybrid human+AI evaluation workflows
- Model-agnostic architecture prevents vendor lock-in
Cons
- Primarily targets enterprises rather than individual developers
- Requires technical integration with existing systems
Frequently Asked Questions
How does Humanloop handle data privacy?
Your data is never used for training models, with SOC-2 Type 2 certification and HIPAA compliance via BAA.
Can we use different LLM providers?
Yes, Humanloop works with any AI model without vendor lock-in.
How does Humanloop prevent production issues?
Combines automated testing in CI/CD pipelines with human expert reviews and alert systems.
Reviews for Humanloop
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