Confident AI
6.9#5 in ai red teaming toolsFrom $200 a monthFree planWebAPISelf-hosted
VisitConfident AI vs Promptfoo
What both publish
| Fact | Confident AI | Promptfoo |
|---|---|---|
| Evaluation | The platform supports prompt, model, and parameter experiments, automated CI/CD regression evaluations, and more than 50 metrics. | It tests prompts across multiple providers, grades outputs with assertions, and calculates accuracy, safety, and performance metrics. |
| Integrations | Confident AI offers Python and TypeScript SDKs, OpenTelemetry, and more than 20 framework and gateway integrations. | Documented integrations include LangChain, LangGraph, CrewAI, MCP, Splunk, Burp Suite, GitHub Actions, GitLab, Jenkins, CircleCI, Azure Pipelines, and Bitbucket Pipelines. |
| Product | Confident AI is an AI Quality platform that provides development evaluations and production observability for reliable AI applications. | Promptfoo helps developers and enterprises build secure, reliable AI applications. |
| Red teaming | Confident AI provides red-team testing for safety vulnerabilities and adversarial attacks. | Its red-team workflow generates adversarial tests for vulnerabilities before deployment and maps testing to OWASP and NIST frameworks. |
| Security | The documentation states that Confident AI is HIPAA compliant, offers SSO and customizable roles and permissions, and supports self-hosted deployment. | The site displays SOC 2 and ISO 27001 certification badges. |
Confident AI plans
- FreeFree
- Starter$200 a month
- Team$2,000 a month
- EnterprisePriced on request
Promptfoo plans
- CommunityFree
- EnterprisePriced on request
- On-PremisePriced on request
Pick Confident AI if…
It suits engineers, QA teams, product managers, subject-matter experts, and annotators who need to evaluate or monitor AI applications. Self-hosting and configurable roles may also fit organizations with deployment and access-control requirements.
Pick Promptfoo if…
Promptfoo suits developers and enterprise teams evaluating prompts, model outputs, and AI application risks. Its local and self-hosted options may appeal to teams that want to run the Community plan on their own infrastructure.