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Patronus AI is a frontier research lab and platform developing advanced simulation infrastructure to accelerate the path toward human-aligned Artificial General Intelligence (AGI). By training the first Digital World Models, Patronus AI enables the prediction and simulation of AI agent actions within digital workflows. This foundational infrastructure generates high-alpha simulations across diverse domains, empowering frontier AI models to train safely and effectively on complex, real-world tasks. Key offerings include advanced evaluation models like Lynx, a state-of-the-art 70B hallucination detection model that consistently outperforms GPT-4; FinanceBench, an industry-first LLM benchmark for financial data with over 10,000 Q&A pairs; and GLIDER, an evaluation model providing high-quality reasoning chains for model explainability. With over 1 million world data artifacts and a network of 5,000+ expert contributors, Patronus AI supports sophisticated use cases in research science, software development, finance, and customer service. The platform is uniquely designed for long-horizon task planning, multi-turn dialogue, and agentic memory, delivering a measurable 30-40% model performance lift for enterprise AI deployments.
Patronus AI is a frontier research lab and platform developing advanced simulation infrastructure to accelerate the path toward human-aligned Artificial General Intelligence (AGI).
Explore all tools that specialize in predicting and simulating ai agent actions in digital workflows. This domain focus ensures Patronus AI delivers optimized results for this specific requirement.
Explore all tools that specialize in hallucination detection (e.g., lynx), financial data benchmarking (e.g., financebench), reasoning chain generation (e.g., glider). This domain focus ensures Patronus AI delivers optimized results for this specific requirement.
Explore all tools that specialize in supporting multi-turn dialogue and agentic memory for enterprise ai deployments. This domain focus ensures Patronus AI delivers optimized results for this specific requirement.
A 70B parameter model specialized in identifying hallucinations in generated text.
An industry-first benchmark consisting of a large-scale set of 10,000 Q&A pairs based on publicly available financial documents.
An evaluation framework that produces high-quality reasoning chains and highlights to explain AI decision-making.
Foundational infrastructure that predicts and simulates agent actions in digital workflows for self-adaptive AI worlds.
Consultation with the Patronus AI engineering team
Access documentation for LLM testing and RL environment setup
Integrate API for automated hallucination detection using Lynx
Utilize pre-built domain benchmarks such as FinanceBench
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Fast, affordable AI inference. Pay-per-token inference for developers.
Serverless infrastructure for real-time AI applications.