Commercial models
Fine-tuned LLMs
Pretrained models
Automated AI Evaluation
Detect LLM mistakes at scale and use generative AI with confidence
Partnering with leading companies like
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.
LLM-agnostic
System-agnostic
Retrieval systems
Agents
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
Benchmarking
Compare models side by side to understand how they differ in performance in real world scenarios
Why Us
We take a research-first approach
The team at Patronus has been testing LLMs since before the GenAI boom
Our approach is state-of-the-art → +18% better at detecting hallucinations than other OpenAI LLM-based evaluators*
*benchmarks available upon request
We offer production-ready LLM evaluators for general, custom, and RAG-enabled use cases
Our off-the-shelf evaluators cover your bases (e.g. toxicity, PII leakage) while our custom evaluators cover the rest (e.g., brand alignment)
We support real-time evaluation with fast API response times (as low as 100ms)
You can start using the Patronus API with a single line of code
We offer flexible hosting options with enterprise-grade security
No need to worry about managing servers with our Cloud Hosted solution
Our On-Premise offering is also available for customers with the strictest data privacy needs
You can rest assured that your proprietary data will never be shared outside our organization
We get vetted by third-party security companies yearly
We are trusted by a strong array of customers and partners
Patronus is the only company to provide an SLA guarantee of 90% alignment between our evaluators and human evaluators
Our customers include OpenAI, HP, and Pearson
Our partners include AWS, Databricks, and MongoDB
Recent
Announcements
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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 doesn’t just help you build trust in your generative AI products, they make sure your own users trust your products too. They always go one step further to make sure you succeed with your AI use case in production.
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Azadeh Moghtaderi
Vice President of Data
The Patronus team is taking a holistic and most innovative approach to finding vulnerabilities in LLM systems. Every company that wants to build LLM-based products will need to solve for it and the Patronus team is the most thoughtful group tackling this problem.
Barkha Saxena
CDO at Chime
One of the standout features of Patronus is its customizability. I can bring my own evaluations or set up my own Custom Evaluator in 30 seconds, and then do everything else from there within the platform.
Chen Peng
VP, Head of Data & ML
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
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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
I love that Patronus supports both offline and online workflows. It’s a game changer when an engineering team has to do no extra work in making their offline evaluation setup work in real-time settings. This is because their API is really easy to use, and is framework-agnostic and platform-agnostic.
Lior Solomon
VP of Data at Drata
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
One of the neat things about the Patronus experience is the part that comes after catching LLM mistakes - insights with natural language explanations, failure mode identification, and semantic clustering.
Dave Burgess
VP of Data
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