Confident AI
Hosted eval + observability + red-teaming layer on top of DeepEval
What is Confident AI?
Confident AI is the hosted evaluation, observability, and red-teaming platform from the makers of DeepEval. It runs regression tests in CI, traces production LLM calls with span-level scoring, simulates multi-turn conversations, and stress-tests against adversarial inputs. Targets regulated industries (healthcare, finance, insurance) that need SOC 2, HIPAA, and GDPR coverage on one eval stack across teams.
Tools for building, hosting, testing, observing, connecting, and giving memory or computer access to AI agents.
See the full Agent Infrastructure guide to compare more tools, buyer criteria, and related workflows.
Use cases to evaluate
Centralizing LLM regression tests across multiple product teams
Tracing and alerting on production agent quality regressions
Red-teaming chatbots for prompt injection and PII leakage
Versioning prompts with git-style workflows for compliance
Fit to evaluate
Regulated enterprises needing SOC 2/HIPAA eval governance
Platform teams enforcing one eval standard org-wide
Teams already using DeepEval that need a hosted dashboard
QA leads owning AI quality across multiple LLM apps
Business fit
Right for you if multiple AI teams are each rolling their own eval scripts and leadership wants one governed standard with audit trails. Skip if a single squad just needs local pytest evals; the open-source DeepEval is enough. Distinctive: overage pricing is published at $1 per GB-month of trace spans and $1 per 1k online eval runs, so you can model cost before signing. Compliance pack (SOC 2/HIPAA/SSO) lives in the Team tier and above.
How to evaluate Confident AI
Use this category when a business wants agents that do work across tools, APIs, browsers, and data sources.
Confirm the exact workflow
Map Confident AI to one concrete workflow first, such as centralizing llm regression tests across multiple product teams. Avoid buying before the owner, trigger, output, and success metric are clear.
Check category fit
Compare tool-calling, memory, browser automation, evals, observability, and deployment controls.
Compare practical alternatives
Shortlist Confident AI against Orgo, Browser Use, Browserbase so the decision is based on fit, effort, and workflow ownership rather than brand recognition alone.
Validate cost and rollout effort
Free: $0/mo (5 test runs/week, 1GB trace spans, 2 seats). Starter from $19.99/user/mo. Premium from $49.99/user/mo (15GB spans, 10k online eval runs). Team and Enterprise are custom. Overages: $1/GB-month spans, $1 per 1k online eval runs. Also confirm implementation time, support needs, and whether the technical setup matches your team.
Compare Confident AI with alternatives
Use this quick comparison before booking demos or moving data into a new system.
| Primary workflow | Centralizing LLM regression tests across multiple product teams, Tracing and alerting on production agent quality regressions |
|---|---|
| Best-fit team | Regulated enterprises needing SOC 2/HIPAA eval governance, Platform teams enforcing one eval standard org-wide |
| Implementation effort | Technical setup and maintenance profile |
| Pricing check | Free plan + paid plans |
| Closest alternatives | OrgoBrowser UseBrowserbaseHyperbrowser |
Confident AI pricing
| Model | Free plan + paid plans |
|---|---|
| Snapshot | Free: $0/mo (5 test runs/week, 1GB trace spans, 2 seats). Starter from $19.99/user/mo. Premium from $49.99/user/mo (15GB spans, 10k online eval runs). Team and Enterprise are custom. Overages: $1/GB-month spans, $1 per 1k online eval runs. |
| Checked |
Common questions about Confident AI
What is Confident AI?
Confident AI is the hosted evaluation, observability, and red-teaming platform from the makers of DeepEval. It runs regression tests in CI, traces production LLM calls with span-level scoring, simulates multi-turn conversations, and stress-tests against adversarial inputs. Targets regulated industries (healthcare, finance, insurance) that need SOC 2, HIPAA, and GDPR coverage on one eval stack across teams.
What is Confident AI used for?
Common use cases: Centralizing LLM regression tests across multiple product teams; Tracing and alerting on production agent quality regressions; Red-teaming chatbots for prompt injection and PII leakage; Versioning prompts with git-style workflows for compliance.
How much does Confident AI cost?
Free: $0/mo (5 test runs/week, 1GB trace spans, 2 seats). Starter from $19.99/user/mo. Premium from $49.99/user/mo (15GB spans, 10k online eval runs). Team and Enterprise are custom. Overages: $1/GB-month spans, $1 per 1k online eval runs.
Who is Confident AI best for?
Confident AI fits Regulated enterprises needing SOC 2/HIPAA eval governance, Platform teams enforcing one eval standard org-wide, Teams already using DeepEval that need a hosted dashboard, QA leads owning AI quality across multiple LLM apps. Right for you if multiple AI teams are each rolling their own eval scripts and leadership wants one governed standard with audit trails. Skip if a single squad just needs local pytest evals; the open-source DeepEval is enough. Distinctive: overage pricing is published at $1 per GB-month of trace spans and $1 per 1k online eval runs, so you can model cost before signing. Compliance pack (SOC 2/HIPAA/SSO) lives in the Team tier and above.
What are alternatives to Confident AI?
Common alternatives to Confident AI include Orgo, Browser Use, Browserbase, Hyperbrowser, Steel, Anchor Browser.