Patronus AI
Industry-first automated evaluation and security platform for LLMs.
Last verified April 24, 2026Quick facts: Patronus AI is an AI compliance vendor founded in 2023 and headquartered in San Francisco, US. Pricing is tiered. Profile last verified April 24, 2026, with every claim traceable to a cited public source.
About Patronus AI
Patronus AI provides an automated platform for evaluating and securing large language models (LLMs), enabling enterprise teams to score performance, generate adversarial test cases, benchmark models, detect hallucinations, PII leakage, and other failure modes across 50+ categories. Key differentiators include proprietary evaluator models like Lynx for hallucination detection outperforming GPT-4o, domain-specific benchmarks such as FinanceBench and EnterprisePII, and agent tracing for 15 error modes. Typical buyers are AI engineers and enterprises like Etsy, Pearson, AngelList in saas-technology and financial-services deploying production AI systems. Raised $20M total funding, with $17M Series A in 2024.
Featured in
Patronus AI is ranked in the following independent collection.
Framework coverage
Patronus AI features
Capabilities Patronus AI markets publicly. Inclusion means the feature is documented on the vendor's site — not that it's best-in-class. Last verified April 24, 2026.
LLM Evaluation
Systematic testing of LLM outputs for correctness, relevance, safety, and consistency using automated scorers, rubrics, or human review.
LLM Red Teaming
Automated adversarial testing of LLMs for jailbreaks, prompt injection, and unsafe outputs.
Risk Assessment Workflow
Guided workflows for completing AI impact assessments, risk scoring, and approval routing.
Model Monitoring
Production monitoring for performance, drift, data quality, and fairness regressions.
Agent Tracing
End-to-end visibility into multi-step LLM agent runs: tool calls, intermediate reasoning, token usage, latency, and errors at each step.
Bias & Fairness Testing
Automated statistical testing for disparate impact across protected attributes, with audit-ready reports.
LLM Guardrails & Content Filtering
Runtime guardrails that block or redact unsafe prompts and responses in production LLM applications.
Industries served
Integrations
Documented by Patronus AI in public product materials.
- Hugging Face
- NVIDIA
- MongoDB
- Databricks
- OpenAI API
Patronus AI pricing
Contact for pricing
Developer tier starts with $10 free credits; API at $10/1k small evaluator calls; Enterprise unlimited custom.
Pros and cons of Patronus AI
Pros
- Proprietary evaluator models like Lynx outperform leading LLMs on hallucination detection.
- Domain-specific benchmarks including FinanceBench and SimpleSafetyTests.
- One-line code integration for evaluations.
- Used by enterprises like Etsy, Pearson for production AI.
Cons
- Homepage emphasizes simulation research over core eval product.
- No public documentation of major compliance frameworks like NIST AI RMF.
- Enterprise pricing not publicly listed.
- Some conflicting HQ reports (SF vs Dublin CA).
Frequently asked
What is Patronus AI?+
Automated platform for LLM evaluation, security, and optimization with evaluators, experiments, logs, and traces.
How much are API calls?+
$10 per 1k small evaluator calls, $20 per 1k large, $10 per 1k explanations.
What are key benchmarks?+
FinanceBench for finance QA, EnterprisePII for PII detection, SimpleSafetyTests for safety risks.
Is there a free tier?+
Developer tier with $10 free credits, no credit card required.
Sources
Keep reading
See an error or outdated detail?
Profiles carry a last-verified date. If something is out of date or wrong, send a correction and we will review it.
Work at Patronus AI?
Claim this listing to propose edits to the tagline, description, pricing notes, and headquarters details. Every change is still reviewed by our editorial team.