Automate LLM evaluation to improve AI product reliability
Gentrace helps AI teams collaboratively test and optimize language models through automated evaluations. It provides tools to compare model versions, tune prompts, and monitor production performance in one platform. Teams can align technical and non-technical stakeholders to build more reliable LLM-powered applications.
Enable cross-team LLM evaluation through shared interfaces
Compare prompt variations and model parameters systematically
Debug live RAG pipelines and agent performance issues
Create hybrid evaluations combining code, LLMs, and human input
Yes, Gentrace provides UI tools for cross-functional team collaboration
Yes, combines automated LLM checks with human judgment inputs
Yes, tracing features help debug live RAG pipelines and agents
This tool is best for:
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Recent data shows that Gentrace has 8.0K monthly visits (26.7% increase from the previous month), 39.0% bounce rate, and average 2.04 pages per visit.
Traffic is primarily driven by 6 different sources, with users from 4 countries worldwide, led by United States contributing 67% of total traffic. SEO performance is shown by 5 tracked keywords, with "gentrace" being the top-performing keyword with 660 monthly searches. See below for more info.
Monthly Visits
8.0K
Pages per Visit
2.04
Bounce Rate
39.0%
Average Time on Site
57s
| SEO Keyword | Volume | CPC |
|---|---|---|
| gentrace | 660 | $0.54 |
| gentrace node sdk | 120 | - |
| best questions to test ai hallucinating | 130 | - |
| implementing and testing rag | 60 | - |
| rag testing | 170 | - |
| Source | Traffic Share |
|---|---|
| Direct | 44% |
| Search | 37% |
| Social | 10% |
| Referrals | 8% |
| Paid Referrals | 1% |
| Country Name | Traffic Share |
|---|---|
 | 67% |
 | 17% |
 | 11% |
 | 5% |
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