Medical knowledge is expanding at an unprecedented pace. PubMed adds more than 1.5 million new citations every year. In theory, AI tools should help translate research into better patient outcomes. In practice, they can create a layer of noise.

Some AI tools provide clinicians with quick answers. The harder problem is ensuring the right research is selected and applied in the right clinical context. A cardiologist and an emergency physician may ask similar questions but require different answers. They operate in different environments, under different time pressures, and with different workflows.

Clinicians evaluate evidence carefully. They consider study design, sample size, recency, and whether the population matches the patient in front of them. One weak citation or old guideline does not just weaken a single response,; it erodes trust in the tool.

We led Vera Health’s seed round alongside Garry Tan at Y Combinator to build the trusted intelligence layer for clinicians globally. Vera was founded by MIT graduates Maxime and Taieb, who grew up in physician households. They have built the product through thousands of conversations with doctors, designing around the realities of clinical care.