Patronus AI provides an AI evaluation and optimization platform for shipping high-quality models and agents. The core platform offers tools for running experiments, comparing logs, and managing datasets for rigorous testing. Specialized features like the Percival copilot assist in debugging agentic systems by analyzing traces and suggesting prompt fixes.
Funding
$40.1M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Organizations deploying AI systems face challenges in ensuring reliability and security, including issues like hallucinations, prompt injections, sensitive data leakage, and other vulnerabilities that can lead to AI failures in production. Traditional evaluation methods often rely on outdated benchmarks and manual testing, which are insufficient for identifying and mitigating these risks effectively.
Solution
Patronus AI offers an automated AI evaluation platform that helps organizations monitor and validate the performance of their AI systems. The platform provides access to industry-leading evaluation models designed to detect a range of issues, including hallucinations, prompt injections, data leakage, toxicity, and brand misalignment. Patronus AI enables continuous evaluation and monitoring in production, allowing users to measure AI product performance using custom datasets and evaluators. The platform offers flexible hosting options, including cloud-hosted and on-premise solutions, with enterprise-grade security to protect sensitive data.
Target Audience
The primary target audience includes AI product teams, developers, and organizations deploying LLMs, RAG systems, and AI agents who need to ensure the reliability, security, and alignment of their AI systems.
Features
- Access to pre-built evaluation models for hallucinations, prompt injections, data leakage, and more
- Customizable evaluators using an SDK for function calling, tool use, and other specific needs
- Offline experimentation to measure AI product performance using custom datasets
- Continuous monitoring in production via the Patronus API
- Comparison tools to benchmark different LLMs, RAG systems, and agents
- Support for industry-standard datasets like FinanceBench and SimpleSafetyTests
- Test suite generation in partnership with the Patronus AI Research team
- Flexible hosting options with cloud-hosted and on-premise solutions