Research and Differentiators

The mission of Patronus is to boost confidence and trust in AI systems.

The Patronus team has conducted industry leading research in the field of evaluation, robustness and AI Safety. Our research broadly covers several categories:

• Alignment and training LLM-as-judge models
• Red-teaming and adversarial attacks
• Synthetic dataset construction
• Benchmark development and real-world domains
• Feedback, self-refinement and continuous learning
• Conversational AI, RAG and agentic systems

Automated, scalable evaluation of LLMs and agentic systems is an open field of research. As new open and closed source models get released, it is critical to understand the capabilities and gaps in performance to optimize and safeguard your system.

Quality Guarantees

• State-of-the-Art automated evaluators that outperform industry alternatives in each category (safety, capabilities, alignment)
• High quality datasets off-the-shelf and in enterprise offerings
• Adversarial testing achieving high attack success rate for real world use cases
• Recommendations for best practices with evaluator selection, dataset curation and evaluation framework