Promptfoo vs Patronus AI
Both compete in Red-Teaming & AI Security. Promptfoo positions itself as “Open-source tool for evaluating and red-teaming LLM apps, agents, and RAG systems”, while Patronus AIleads with “Automated evaluation, guardrails, and judges for LLM and agent reliability”. The table below compares what each publishes.
Where Promptfoo pulls ahead
Developer teams wanting free, open-source, CI/CD-integrated evaluation and red teaming of LLM apps
Where Patronus AI pulls ahead
Publishes support for NIST AI RMF, which Promptfoo does not. ML and product teams that need automated, research-grade evaluation plus guardrails to ship reliable LLM apps
| Positioning | Open-source tool for evaluating and red-teaming LLM apps, agents, and RAG systems | Automated evaluation, guardrails, and judges for LLM and agent reliability |
|---|---|---|
| Category | Red-Teaming & AI Security | Red-Teaming & AI Security |
| Frameworks | None published | NIST AI RMF |
| Deployment | Open-source, SaaS, API | SaaS, API |
| Built for | Data Science / ML, Security | Data Science / ML, Risk, Compliance |
| Founded | 2023 | 2023 |
| Headquarters | USA | San Francisco, California, USA |
| Ownership | Acquired by OpenAI (2026); previously VC-backed | Independent, venture-backed |
| Funding | ~$23.4M raised prior to acquisition; $5M seed (a16z, 2024) and $18.4M Series A led by Insight Partners (2025) | $17M Series A (2024) led by Notable Capital, with Lightspeed and Datadog (~$20M total); subsequent Series B reported |
| Pricing | Open-source (MIT license), free; paid enterprise platform | Commercial SaaS / usage-based; some open evaluators and models available |
| Key capabilities |
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| Integrations | OpenAI, Anthropic, Google Gemini, DeepSeek, CI/CD pipelines, GitHub | OpenAI, Anthropic, Bifrost gateway, Common ML/LLM stacks via API |
| Notable customers | OpenAI, Anthropic, Fortune 500 enterprises | None published |
| Best for | Developer teams wanting free, open-source, CI/CD-integrated evaluation and red teaming of LLM apps | ML and product teams that need automated, research-grade evaluation plus guardrails to ship reliable LLM apps |
| Limitations | Developer-oriented and requires engineering effort to configure; broader governance/compliance features live in the paid enterprise tier. | More an evaluation/observability platform than a hardened security firewall; deepest value requires building evaluation into workflows; younger company still expanding enterprise features |
Which should you shortlist?
Choose Promptfoo if developer teams wanting free, open-source, CI/CD-integrated evaluation and red teaming of LLM apps
Choose Patronus AI if mL and product teams that need automated, research-grade evaluation plus guardrails to ship reliable LLM apps
Neither is a substitute for a governance program. Whichever you pick, you still need people who can define the policies the tool enforces.
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