Portrait of Kanav Jain

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

I build and deploy consequential AI systems where a working model is not enough to ship

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

14 years as a product leader and hands-on builder originating products across clinical care, oncology, and AI systems, on a foundation of biomedical engineering and molecular-biology research. See where I’d fit →

DoximityEpicTranscarentCancerCompass / CTCA MarketplaceAndwiseMemorial Sloan Kettering Cancer CenterTechstars

Primary builds on one problem: records that stop tracking reality while systems go on using them.

  • Refract Change detection and provenance: a daily observation bot and 16,146 manifest-backed events beneath evidence sources. Last observation — Bitcoin: 127 events in 30 days, the newest a citation replaced. The log →
  • Fast Harm, Slow Repair Agent error evaluation: a benchmark protocol measuring how far AI mistakes propagate through tools and what remains wrong after correction.

Three steps, in the same order, every time:

  1. Enter before the roadmap exists
  2. Build an unproven idea far enough to learn whether it holds
  3. Bring senior judgment to what happens next

I originated Doximity Dialer, led R&D at CancerCompass, and co-founded Andwise. Andwise settled the user question in year one; I did not settle who would pay until year two, by which point every fundable path put someone other than the physician in the customer seat. In 2024 I shut it down rather than build that company. Since then I have built the systems directly, bringing new technical capabilities to working software before scaling them through teams.

Revised
  1. Refine positioning and visual polish

The last changes to this page’s source, as their commits describe them. A change to a file that several pages share appears on each.