Confident AI
Overview
Confident AI is an evaluation platform for assessing large language models, enabling benchmarking, unit testing, and A/B testing. It streamlines dataset management and monitoring, ensuring optimal performance and alignment with benchmarks for LLM applications.
From the official site
Confident AI is the AI quality platform for enterprise teams to standardize AI evals and observability across the org — one consistent bar for how every team measures and monitors their AI.
The text above is quoted from this tool’s official website — the vendor’s own words.
Key points from the official site
- LLM dataset generation
- Alert on monitored traces
The points above are quoted from this tool’s own website sections and feature lists — vendor copy, not our review.
Official FAQ
- What is Confident AI?
- Confident AI is the AI quality platform built by the creators of DeepEval. It gives engineering, QA, and product teams a single place to evaluate, observe, and improve LLM applications — from prototyping through production.
- How is Confident AI different from DeepEval?
- DeepEval is our open-source evaluation framework for running LLM tests locally or in CI. Confident AI is the cloud platform that layers on top — adding collaboration, dataset management, tracing, real-time monitoring, and dashboards so the whole team can work together.
- Does Confident AI offer LLM observability?
- Yes. Every LLM call is captured as a trace with full context — inputs, outputs, tool calls, latency, token cost, and metadata. You can drill into any production request, set up alerts on quality degradation, and monitor trends over time without building custom logging.
- Can I self-host Confident AI?
- Yes. Confident AI offers a fully self-hosted deployment option alongside the managed cloud. You can run the entire platform in your own VPC or on-prem infrastructure, keeping all data within your network. Self-hosting is available on our Enterprise plan — book a demo to get started.
- How long does it take to get started?
- Most teams are up and running in under 15 minutes. Install the SDK, add a few lines of code to log traces or run evals, and results show up in the platform immediately.
- Can I use Confident AI in CI/CD pipelines?
- Yes. DeepEval integrates directly into your CI pipeline so you can run regression tests on every pull request. If quality drops below thresholds you define, the build fails — no bad prompts make it to production.
These questions and answers come from the tool’s own structured data, not written by us.