Portrait of Kanav Jain

Product leader · hands-on builder · Chicago · US and Australian citizen, open to relocation

I turn new AI capabilities into products that hospitals and other cautious institutions will deploy

Doximity Dialer, which I originated as founding product lead, carries more than 300,000 calls on an average workday across 250+ health systems, 9 years after I left.

14 years as a product leader and hands-on builder, making products in clinical care, oncology and AI, after training in biomedical engineering and molecular-biology research. See where I’d fit →

DoximityEpicTranscarentCancerCompass / CTCA MarketplaceAndwiseMemorial Sloan Kettering Cancer CenterTechstars

The two products deal with one problem: records that go out of date while people still rely on them, like a guideline that no longer matches the evidence.

  • Refract Change tracking: records every edit to a source, such as a Wikipedia article, and what each edit changed. A published test set of 16,146 recorded edits, reproducible from the same source.
  • Fast Harm, Slow Repair Agent error evaluation: a draft benchmark protocol for measuring how far AI mistakes propagate through tools and what remains wrong after correction. No results yet.

I come in before there’s a roadmap, build an unproven idea far enough to see whether it holds, and then decide what to scale, what to cut, and who should own it.

I originated Doximity Dialer, led R&D at CancerCompass, and co-founded Andwise. Andwise showed in year one that physicians wanted it; I did not work out who would pay until year two, and by then every path that could fund the company made someone other than the physician the paying customer. In 2024 I shut it down rather than make the physician’s employer or financial advisor the customer. Since then I have built the systems myself: NextConsensus, Ambit and the tools under them.

Revised