Building the evaluation infrastructure for vertical AI

Domain-specific benchmarking and expert reasoning capture for regulated industries. Our research focuses on how to measure and verify AI agent behavior in high-stakes domains where mistakes carry consequences.

WHBench: Women's Health Benchmark

A Women's Health Benchmark for Evaluating Frontier LLMs. WHBench evaluates large language models on 47 clinical scenarios across women's health, tested against 22 frontier models. The benchmark covers 23 criteria across 8 dimensions: Clinical Accuracy, Completeness, Safety, Communication Quality, Instruction Following, Equity, Uncertainty, and Guideline Adherence.

WHBench is part of Akhara's broader effort to build rigorous, expert-grounded evaluation infrastructure for AI systems in regulated domains.

• 47 clinical scenarios
• 22 models tested
• 23 evaluation criteria across 8 dimensions