Evaluate and optimize LLM applications for enterprise deployment
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.
Collaborative interface for developing and testing LLM prompts
Track changes to prompts and datasets with full edit history
Works with any LLM provider without vendor lock-in
Run AI-assisted tests alongside code in CI/CD pipelines
Subject matter experts can validate outputs through intuitive UI
Your data is never used for training models, with SOC-2 Type 2 certification and HIPAA compliance via BAA.
Yes, Humanloop works with any AI model without vendor lock-in.
Combines automated testing in CI/CD pipelines with human expert reviews and alert systems.
This tool is best for:
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Recent data shows that Humanloop has 73.3K monthly visits (43.0% increase from the previous month), 45.0% bounce rate, and average 2.05 pages per visit.
Traffic is primarily driven by 6 different sources, with users from 5 countries worldwide, led by United States contributing 19% of total traffic. SEO performance is shown by 5 tracked keywords, with "humanloop" being the top-performing keyword with 5.2K monthly searches. See below for more info.
Monthly Visits
73.3K
Pages per Visit
2.05
Bounce Rate
45.0%
Average Time on Site
55s
| SEO Keyword | Volume | CPC |
|---|---|---|
| humanloop | 5.2K | $4.24 |
| human loop | 480 | - |
| mcp ai | 38.4K | $1.91 |
| model context protocol | 97.8K | $1.84 |
| humanloop ai | 150 | - |
| Source | Traffic Share |
|---|---|
| Direct | 39% |
| Search | 45% |
| Social | 4% |
| Referrals | 12% |
| Paid Referrals | 1% |
| Country Name | Traffic Share |
|---|---|
 | 19% |
 | 15% |
 | 9% |
 | 6% |
 | 5% |
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