Patronus AI

Patronus AI is an evaluation and guardrails platform designed to help organizations build trustworthy AI applications by systematically testing LLM outputs for accuracy, safety, and compliance. The platform addresses the fundamental challenge of LLM reliability — how do you know if your AI application is giving correct, safe, and appropriate responses? — through automated evaluation, hallucination detection, and real-time guardrails.

The platform's evaluation engine provides automated scoring of LLM outputs across multiple quality dimensions. Pre-built evaluators check for hallucination, factual accuracy, toxicity, bias, relevance, and coherence. Custom evaluators can be defined for domain-specific quality criteria. Evaluations can be run against test datasets during development or continuously in production, providing confidence metrics that track quality over time.

Patronus AI's hallucination detection is a standout capability, using specialized models trained to identify when LLMs generate information that isn't supported by provided context or known facts. This is critical for RAG applications, customer-facing chatbots, and any use case where factual accuracy matters. The detection system provides granular feedback identifying specific claims that are unsupported.

The guardrails functionality provides real-time input/output filtering for production applications. Rules can detect and block PII, harmful content, prompt injection attempts, and custom policy violations. Guardrails execute with low latency, making them suitable for synchronous application flows without noticeably impacting user experience.

Patronus also offers red-teaming capabilities for proactively discovering vulnerabilities in AI applications. The platform generates adversarial inputs designed to expose failure modes, edge cases, and safety issues before they affect real users. Results are organized by severity and category for systematic remediation.

The platform integrates with CI/CD pipelines for automated evaluation during development, with production monitoring systems for continuous quality tracking, and with agent frameworks for inline guardrail enforcement. This coverage across the development lifecycle makes Patronus a comprehensive quality assurance platform for AI applications.