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Patronus AI


About

Patronus AI builds simulation infrastructure for training and evaluating AI agents. Its work includes Digital World Models and generative RL environments for realistic software and tool workflows, alongside long-horizon benchmarks, reward systems, training datasets, and agentic supervision tools such as Percival.

What They Offer

Commercial or operational services this company provides.

Agent evaluations
Rubrics / verifiers
Custom RL environments

Products & Public Artifacts

FinanceBench
Dataset · Open source

Open financial-benchmarking dataset.

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GLIDER
Model · Open source

Open-source evaluation model, released with evaluation code and test sets.

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Lynx
Model · Open source

Open-source hallucination-detection model.

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Patronus Digital World Model / Patronus-DWM
Model · Public

Digital world model for dynamically generating realistic software and tool environments for agent training.

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Generative Simulators
Framework · Public

Simulation framework for generating dynamic environments and interactions for agent training and evaluation.

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FigmaTrace
Dataset · Open source

Human-workflow training dataset built from realistic Figma design activity.

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SpeedrunBench
Benchmark · Public

Long-horizon benchmark for measuring frontier-agent performance on complex tasks.

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TRAIL
Benchmark · Open source

Benchmark for agentic evaluation across tool-using workflows.

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Percival
Tool · Commercial

Agentic supervision and evaluation tooling for monitoring and scoring AI systems.

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Technical Capabilities

Programmatic VerifiersTool / API / MCP UseStateful / Persistent EnvironmentsLong-Horizon TasksReal-App / Workplace Simulation

Only publicly documented capabilities are shown. Absence does not imply the capability is unavailable.

Focus Areas

RL EnvironmentsTraining DataRLHF / Post-trainingEvaluationsAI Safety / Red Teaming

Domains

Software EngineeringFinance

Leadership

Anand Kannappan
Co-Founder & CEO
Rebecca Qian
Co-Founder & CTO