Snapshot
Continue to About ↓- What it does
- Confident AI is an AI quality platform for testing and monitoring AI applications: teams run automated evals against their prompts and apps before release, then trace and score production traffic with alerting.
More detail
- It also bundles red teaming for safety testing and governance controls that can gate deploys on eval results.
- Best for
- Engineering, QA, product and domain-expert teams that are already running LLM, RAG or agent applications and need shared eval coverage in CI plus production quality monitoring and alerting.
- Pricing
- Free Forever is $0 with 2 user seats, 1 project, 5 test runs per week (further runs locked) and 1 GB-month of trace spans (further spans dropped).
More detail
- Starter is $200/month with unlimited seats, up to 5 projects, 5 GB-months of trace spans, then $1 per GB-month ingested or retained.
- Team is $2,000/month
- Main limitation
- Solo developers or hobbyists who need an unlimited free production setup, and teams looking for a general-purpose APM or debugging tool rather than eval-first AI quality monitoring.
- Record
- Static profile
- Reviewed
- Evidence
- Public web research
- Machine access
- Structured profile ↗
About
- Confident AI is an AI quality platform for testing and monitoring AI applications: teams run automated evals against their prompts and apps before release, then trace and score production traffic with alerting.
- It also bundles red teaming for safety testing and governance controls that can gate deploys on eval results.
What it helps with
- Agent and LLM failures in production often go unreported by users, so teams lack early warning that quality has degraded
- Teams end up with fragmented, home-grown eval stacks that do not scale across many AI initiatives in one organization.
- Iterating on AI quality is bottlenecked on engineering availability rather than on the product or domain experts who spo
- Human review of AI outputs lives in spreadsheets and tickets instead of one workflow tied to test cases and releases.
- Safety and regulatory exposure from prompt injection, data leakage and unsafe tool use needs structured adversarial test
Capabilities
A practical view of what is available and where limitations apply.
| Offering | Available | Detail |
|---|---|---|
| LLM evaluation and regression testing | Yes | Research-backed metrics such as faithfulness, relevancy, hallucination and tool correctness, runnable in development and CI/CD. |
| LLM observability and tracing | Yes | Instrument apps to capture traces and spans, monitor quality and latency over time, and alert on regressions. |
| Point at any HTTP endpoint without SDK changes | Yes | Vendor describes it as 'Postman for AI evaluation'; you can call any HTTP or streaming endpoint and evaluate the response. |
| Human-in-the-loop annotation | Yes | Annotation queues let domain experts rate traces in plain language and turn feedback into test cases. |
| AI red teaming | Yes | Adversarial testing with risk assessment reports; the official site lists it as a purchasable module on Enterprise. |
| AI governance and deploy gating | Yes | Governance policies and controls that can block deploys when eval or red-team checks fail; Enterprise module. |
| Voice AI evaluation | Yes | Separate module to evaluate and monitor voice agents call by call. |
| Multi-turn conversation simulation | Limited | Marked 'Coming soon' on the official site at time of capture. |
| SOC 2, HIPAA and custom data residency | Limited | SOC 2 listed from the Team plan; HIPAA, on-prem and custom residency are Enterprise-only. |
| Self-hosting / on-prem deployment | Limited | Offered, but only on the Enterprise plan. |
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Evidence
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- Verification
- Scribble researched these facts from the linked public sources.
- The owner has not manually confirmed every field.
- Last reviewed
- Primary source
- confident-ai.com
Technical profile details
Record ID
aa479f72-a835-4ba1-9ccb-c82ca76d9e62Canonical URLhttps://profiles.scribble.network/listing/confident-ai-aa479f72