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Datasets & Benchmarks for AI Agents
Off-the-shelf solutions weren’t built for agents. Ours are.
We deliver custom, expert-annotated hard benchmarks and specialize in the following evals: multi-step agentic, long-context, multimodal, and real-world.
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Patronus AI creates research-grade datasets and benchmarks with depth and precision tailored specifically for AI agents. We capture complex, real-world reasoning, decision-making, and multi-step workflows that generic data cannot simulate.
Benchmarks
SOTA benchmarks that evaluate agent performance across language, reasoning, safety, and execution.
A multimodal benchmark of 573 “tip-of-the-tongue” queries across text, sketches, audio, and languages—highlighting the vast gap between top agents (0.54–0.56) and human performance (98%)
A multimodal benchmark of 573 “tip-of-the-tongue” queries across text, sketches, audio, and languages—highlighting the vast gap between top agents (0.54–0.56) and human performance (98%)
Over 10,000 expert-annotated Q&A pairs grounded in real SEC filings, built to test financial reasoning in high-stakes, real-world documents.
A benchmark for detecting copyright violations in AI-generated content—where top models achieve only 20–30% accuracy, far below the reliability needed for safe model deployment.
A 3,000-question benchmark spanning STEM, humanities, and multimodal reasoning—where top reasoning models score just 13–27%, exposing major limitations in model alignment and safety.
Domain Benchmarks
SOTA benchmarks built on industry and academia collaborations combining the power of real-world expertise and groundbreaking research.
Our Process
1. Collaborative Scoping
We work closely with your team to define the agent tasks, domains, and evaluation criteria that matter most.
2. Research-Grade Dataset Creation
Every dataset and benchmark is designed, annotated, and validated by experts with a track record in agent evaluation and benchmark design.
3. Transparent Evaluation
We work closely with your team to define the agent tasks, domains, and evaluation criteria that matter most.
4. Continuous Innovation
With the best Research fellow network and in-house research team, we iterate rapidly—incorporating new agent capabilities and real-world challenges to keep your models ahead of the curve.
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*
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
Led by AI researchers from Meta, Uber, and Amazon, our team works with a global network of domain experts to design, annotate, and validate datasets that push agent capabilities to the limit.
