Confident AI
AI quality platform for evaluating, tracing, and monitoring LLM applications across teams.
Linked from confident-ai.com · checked 29 Oct
- Tool type
- AI evaluation and observability platform
- Made for
- Engineers, QA, PMs, and domain experts
- Runs on
- Web workspace, SDKs, CI/CD, and self-hosted infrastructure
- Cloud-hosted web app; instrumentation via Python and TypeScript SDKs; on-prem or AWS, Azure, or GCP via Docker for Enterprise.
From @confident_ai
Recent important posts · launches
- Launch
Confident Voice finds audio failures in voice agents
“Introducing Confident Voice: The first AI observability suite built specifically to surface audio failures in voice agents, in production. Your team doesn't have the hours to sit through thousands of calls a day, so most problems only surface when a customer complains.”
@confident_ai · Oct 29View
What it does
Confident AI is an AI quality platform for teams building LLM applications. It takes in traces, prompts, datasets, and expert feedback, and produces evaluation results, quality metrics, production alerts, and red-teaming or governance reports. Teams send traces from instrumented applications using its SDKs or OpenTelemetry, then score them against built-in and custom metrics.
People use it to turn production failures into test cases, run regression checks before a release, and let product managers and domain experts annotate traces alongside engineers. Tracing, annotation queues, datasets, and eval gates live in one workspace, and prompt versions can be gated on eval results.
It suits cross-functional AI teams of engineers, QA, product, and subject-matter experts. A free tier has limits on seats, projects, test runs, and trace storage. Paid self-serve plans start at $200 per month, and self-hosting is part of the Enterprise plan. Using it requires account setup and SDK installation.
What it can do
- Trace AI executions end-to-end and capture inputs, outputs, latency, tokens, and tool calls.
- Run 30+ single-turn and 15+ multi-turn DeepEval metrics plus custom G-Eval and code-based metrics.
- Turn production traces into evaluation datasets and run scheduled dataset evaluations.
- Collect thumbs and structured feedback through annotation queues and custom forms.
- Simulate multi-turn chatbot conversations and run red-teaming probes with exportable risk reports.
- Version prompts with git-style branching and gate merges on eval results.
Works with
- OpenAI Agents
- Claude Agent SDK
- LangChain
- LangGraph
- LlamaIndex
- Pydantic AI
- CrewAI
- Vercel AI SDK
- LiteLLM
- Portkey
Before you choose
- The free tier is capped at 2 seats, 1 project, 5 test runs per week, and 1 GB-month of trace spans.
- Self-hosting is listed under the Enterprise plan; Team plans do not include on-prem deployment.
- Metric and trace usage beyond plan allowances has overage charges, and Enterprise pricing requires contacting sales.
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Get started
Free tier needs no credit card; install the SDK per the setup docs.
- Create an account at Confident AI Sign Up.
- Install the SDKs following the Setup and Installation guide.
- Add tracing decorators or evaluation calls to your application, then review results in the platform.
Plans and prices
Prices in USDStarter and Team are billed per organization per month. Starter includes 5 GB-months of trace spans then $1 per GB-month. Annual billing has a discount, but amounts were not published. Enterprise pricing is custom.
- 2 user seats, 1 project
- 5 test runs per week
- Unlimited user seats, 5 projects
- Online evals and real-time alerting
- Unlimited projects, SOC2 and SSO
- Git-based prompt workflows
Source: confident-ai.com/pricing, checked 29 Oct 2026. Prices can change; check before you buy.
Sources for this overview
Product pages, documentation, and pricing checked 29 Oct 2026. Each source supports part of the overview; availability and prices can change.
- Confident AI: Enterprise AI Evaluation & Observability Platform ↗www.confident-ai.com
- Introduction | Confident AI Docs ↗www.confident-ai.com
- Confident AI Pricing: Free to Enterprise LLM Evaluation Plans ↗www.confident-ai.com
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Last checked 29 Oct 2026. Every field keeps its source and date; unknown means we couldn’t confirm it.