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Automated AI Evaluation

Detect LLM mistakes at scale and use generative AI with confidence

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Partnering with leading companies like
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Boost Your Confidence in Generative AI.

LLMs can be unreliable. We get it. We can help.  Use Patronus AI anywhere, the industry-first automated evaluation platform for LLMs.

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Commercial models
Fine-tuned LLMs
Pretrained models


Retrieval systems
Routing Architectures
Prompt Chains

Platform Capabilities

Evaluation Runs

Leverage our managed service to score model performance based on our proprietary taxonomy of criteria

Retrieval-augmented generation (RAG) Analysis

Verify that your AI models and products consistently deliver top-tier, dependable information with our cutting-edge RAG and retrieval testing workflows

Test Suite Generation

Auto-generate novel adversarial testing sets at scale to find all the edge cases where your models fail

LLM Failure Monitoring & Observability

“Sentry for LLM Failures”:  Continuously evaluate and track LLM performance for your AI product in production using the Patronus Evaluate API

Patronus Datasets

Use our off-the-shelf, adversarial testing sets designed to break models on specific use cases


Compare models side by side to understand how they differ in performance in real world scenarios

What they say about us

As scientists and AI researchers, we spend significant time on model evaluation. The Patronus team is full of experts in this space, and brings a novel research-first approach to the problem. We're thrilled to see the increased investment in this area.

Jonathan Frankle
Chief AI Scientist at Databricks

"Evaluating LLMs is multifaceted and complex. LLM developers and users alike will benefit from the unbiased, independent perspective Patronus provides."

Max Bartolo
Command Modeling Lead at Cohere

"Testing LLMs is in its infancy. The best methods today rely on outdated academic benchmarks and noisy human evaluations -- equivalent to sticking your finger in water to get its temperature. Patronus is leading with an innovating approach."

Andriy Mulyar
Co-founder and CTO of Nomic AI

"Engineers spend a ton of time manually creating tests and grading outputs. Patronus assists with all of this and identifies exactly where LLMs break in real world scenarios."

Linus Lee
AI Lead at Notion

Patronus AI is at the forefront of multilingual AI evaluation. DefineX is excited to be using Patronus’ proprietary technology to safeguard generative AI risks in the Turkey & Middle East region and beyond.

Emre Hayretci
Co-founder and Managing Director at DefineX

Patronus and their straightforward API makes it really easy to reliably evaluate issues with LLMs and mitigate problems like content toxicity, PII leakage, and more. We're excited to partner with Patronus to combine their evaluation capabilities with Radiant's production reliability platform to help customers build great GenAI products.

Nitish Kulkarni
Co-founder and CEO of Radiant AI

In our mission to bring the AI stack close to enterprise data and offering best in class tools to train and deploy AI solutions, we are thrilled to partner with Patronus AI. Our combined platform will help in training, finetuning, rigorously testing, and monitoring LLM systems in a scalable way.

Mouli Narayanan
Founder and CEO of Zeblok

AI won’t take your job but it will change your job description. Safety in the workplace and security in the workspace is the only way to be AI-ready. That’s only possible with Patronus.

Gabriel Paunescu
Co-founder and CEO of Naologic
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