Confident AI

What is Confident AI?

Confident AI is a cloud platform for testing and monitoring LLM applications such as RAG pipelines, agents and chatbots. It is built by the team behind DeepEval, the open-source framework that computes evaluation metrics, and adds the dashboard around it: LLM tracing, datasets you can edit and auto-curate from production traces, prompt versioning, annotation queues for human review, and a red teaming module on the top tier. Teams run evaluations during development, in CI/CD and on live traffic, then compare test runs to catch regressions. Chat simulations let you test multi-turn conversations against a bot. Pricing has four tiers. Free is $0 for 2 seats and 1 project. Starter costs $200 per month, and Team costs $2,000 per month with RBAC and SOC2. Enterprise is custom, with on-prem deployment, HIPAA and custom data residency. Trace storage beyond the included amount is $1 per GB-month.

Use cases

• Run regression tests on LLM apps
• Trace production LLM calls and agents
• Evaluate live traffic with online evals
• Curate datasets from production traces
• Version and approve prompt changes
• Simulate multi-turn chatbot conversations
• Annotate outputs with human reviewers

Who it's for

• AI engineers
• QA teams
• Product managers
• ML teams

Why use Confident AI

• Built by the DeepEval maintainers, so open-source metrics carry straight into the platform.
• Production traces can become test datasets, which keeps evals tied to real failures.
• Product and QA staff can run evaluations without custom engineering work.
• Trace pricing is a flat $1 per GB-month beyond the included allowance, and retention is adjustable.

Confident AI features

• LLM unit and regression testing suite
• LLM tracing for agents, RAG and multi-turn flows
• 30+ single-turn and 15+ multi-turn DeepEval metrics
• Custom G-Eval and code-based metrics
• Dataset editor with auto-curation from traces
• Prompt versioning with Git-based branching on higher tiers
• Annotation queues and custom annotation forms
• Chat simulations and real-time alerting
• Red teaming module on Enterprise

Confident AI integrations

• DeepEval

How to get started with Confident AI

1. Create a free account and add the quickstart code to log traces from your LLM app.
2. Build a dataset by hand, by synthetic generation or from production traces.
3. Pick DeepEval metrics or define custom ones, then run a test run in development or CI/CD.
4. Compare runs, review failures and annotate cases with human reviewers.
5. Switch on online evals and alerts to watch live traffic.

Confident AI limitations

• Free is limited to 2 user seats, 1 project and 5 test runs per week
• Free includes 1 GB-month of trace spans, and extra spans are dropped
• Starter allows 5 projects and 5 GB-months, then $1 per GB-month
• Red teaming, on-prem deployment and HIPAA need Enterprise

Confident AI pricing

Yes, Confident AI has a free plan. Paid plans start at $200 per month, according to the official pricing page on 24 Oct 2026.

Confident AI plans

• Free

  $0

  forever

  • 2 user seats
  • 1 project
  • 5 test runs per week
  • 1 GB-month of trace spans

• Starter

  $200/month

  • Unlimited user seats
  • 5 projects
  • 5 GB-months of trace spans
  • Online evals and real-time alerting
  • Chat simulations

• Team

  $2,000/month

  • Unlimited projects
  • 75 GB-months of trace spans
  • Custom RBAC and SOC2
  • Git-based prompt workflows
  • Dedicated support channel

• Enterprise

  Custom

  • Dedicated on-prem deployment
  • HIPAA
  • Custom data residency
  • AI red teaming module
  • 24x7 technical support

Plans as listed on the official pricing page on 24 Oct 2026. Prices can change and may vary by country or exclude tax. Check the official pricing page.

Confident AI alternatives

The main Confident AI alternatives listed on Debuly are Braintrust, Langfuse, Arize Phoenix, Galileo, Arize AX and Future AGI. The table compares pricing and platforms; order is A–Z.

1. 

   Arize AX

   Observability and evaluation platform for AI agents and LLM apps, with tracing, issue detection and experiments on a free plan.

   Developer platformsAutomation and agentsCoding
   FreemiumVisit Arize AX (official site)
2. 

   Arize Phoenix

   Open-source tool for tracing, evaluating and experimenting on LLM apps and agents, free to self-host or run locally.

   Developer platformsAutomation and agents
   Open sourceVisit Arize Phoenix (official site)
3. 

   Braintrust

   AI observability and evaluation platform for tracing LLM apps and agents, scoring outputs and catching regressions before release.

   Developer platformsCoding
   FreemiumVisit Braintrust (official site)
4. 

   Future AGI

   Platform for tracing, evaluating, simulating and guarding LLM apps and AI agents, with a gateway, usage-based billing and a free tier.

   Developer platformsAutomation and agents
   FreemiumVisit Future AGI (official site)
5. 

   Galileo

   AI observability and eval platform that tunes evals to your data and turns them into guardrails for LLM apps and agents.

   Developer platformsAutomation and agents
   FreemiumVisit Galileo (official site)
6. 

   Langfuse

   Open-source LLM observability and evaluation platform for tracing agents, managing prompts and scoring outputs.

   Developer platformsAutomation and agentsCoding
   FreemiumVisit Langfuse (official site)

Confident AI FAQ

Sources & verification

Facts on this page come from the official sources below, each with the date we read it. Written by Debuly; the vendor did not review this page.

Image credits

• Logo: from confident-ai.com · fetched 23 Oct 2026 · Vendor trademark, used only to identify the product; removed on request
• Cover: none collected yet, so a generated tile is shown.

Spot an error? Report an issue with this listing. We also remove a logo or image on the owner's request.