Evaluate and improve large language models with precision metrics
Confident AI helps developers test and optimize AI language systems through rigorous evaluation. It provides tools to curate real-world test datasets, run automated evaluations, and monitor model performance in production. The platform integrates directly with development workflows to catch regressions early, align metrics with business goals, and collaborate on improving LLM applications.
Centralize real-world test data from multiple sources
Tailor evaluation criteria to specific use cases
Automate LLM testing in CI/CD pipelines
Track model drift in production systems
Collaborate on evaluation standards across teams
Confident AI uses Python for test scripting and CI/CD integration to match common ML development workflows
Yes, the platform supports collaborative dataset annotation across technical and non-technical roles
The team emphasizes fast, human support responses over chatbots
This tool is best for:
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Confident AI can be integrated with these apps and services:
Recent data shows that Confident AI has 120.2K monthly visits (19.0% increase from the previous month), 50.0% bounce rate, and average 2.26 pages per visit.
Traffic is primarily driven by 6 different sources, with users from 5 countries worldwide, led by Vietnam contributing 16% of total traffic. SEO performance is shown by 5 tracked keywords, with "deepeval" being the top-performing keyword with 10.2K monthly searches. See below for more info.
Monthly Visits
120.2K
Pages per Visit
2.26
Bounce Rate
50.0%
Average Time on Site
1m 58s
| SEO Keyword | Volume | CPC |
|---|---|---|
| deepeval | 10.2K | $4.64 |
| confident ai | 1.9K | $4.33 |
| llm as a judge | 7.5K | $3.51 |
| llm as judge | 1.9K | - |
| llm evaluation | 2.5K | $4.37 |
| Source | Traffic Share |
|---|---|
| Direct | 36% |
| Search | 52% |
| Social | 3% |
| Referrals | 8% |
| Paid Referrals | 1% |
| Country Name | Traffic Share |
|---|---|
 | 16% |
 | 15% |
 | 10% |
 | 6% |
 | 4% |
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