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Built by the creators of DeepEval, engineering teams use Confident AI to benchmark, safeguard, and improve LLM applications, with best-in-class metrics and tracing.
Confident AI provides an opinionated solution to curate dataset, align metrics, and automate LLM testing with tracing. Teams use it to safeguard AI systems to save hundreds of hours a week on fixing breaking changes, cut inference cost by 80%, and convince stakeholders that their AI is always better than the week before.
Measure which prompts and models give the best end-to-end performance using Confident AI's evaluation suite.
Mitigate LLM regressions by running unit tests in CI/CD pipelines. Go ahead and deploy on Fridays.
Evaluate and apply tailored metrics to individual components, to pinpoint weaknesses in your LLM pipeline.
Easily integrate evals using DeepEval, with intuitive product analytic dashboards for non-technical team members.
Whatever framework you're using, just install DeepEval.
30+ LLM-as-a-judge metrics based on your use case.
Decorate your LLM app to apply your metrics in code.
Generate test reports to catch regressions and debug with traces.
Our compliance standards meets the requirements of even the most regulated healthcare, insurance, and financial industries.
Store and process data in the United States of America (North Carolina) or the European Union (Frankfurt).
Our flexible infrastructure allows data separation between projects, custom permissions control, and masking for LLM traces.
We offer enterprise-level guarantees for our services to ensure mission critical workflows are always accessible.
Optionally deploy Confident AI in your cloud premises, may it be AWS, Azure, or GCP, with tailored hands-on support.