Gathers its own context
Designed to pull priors, reports and the treatment line itself. No copy-paste, no prompts.
AI research lab
We are building toward a physician copilot for the whole cancer journey, from diagnosis to theranostics to treatment. It reads the patient's evidence like a specialist, shows where every statement comes from, and knows when to defer.
Why now
Before a tumour board, someone gathers each patient's letters, results and scans by hand. In the US, PET scan volume is growing and many sites report waits of eight days or more.
+12.2%
IMV PET Market Summary, June 2025
40%
IMV PET Market Summary, June 2025
Approach
Designed to pull priors, reports and the treatment line itself. No copy-paste, no prompts.
Every measurement is designed to be computed by code, never generated.
Each statement is designed to link to the record, image region or paper it rests on.
Below its threshold, it is designed to flag for review instead of guessing.
How the lab works
We build on frontier models and own the layer above them. Physician edits are designed to close the loop.
Research
New methods, datasets and open benchmarks.
Roadmap
Now
A research prototype designed to turn a cancer patient's records into a source-linked summary for tumour boards, with the supporting literature. Clinicians review and edit it. It does not recommend treatment.
Now
Research on telling a real change in the cancer from measurement noise or a record error, so each new scan is read against the patient's history.
Next
Designed to draft grounded reports for PET/CT and theranostics, for physician review.
Later · gated
Support for the treating team across diagnosis, theranostics and treatment.
Later · gated
Aims to link imaging to outcomes: who responds, who relapses.
Later stages are gated: they start only after earlier work has proven itself with physicians.
Team
From leading universities, hospitals and technology companies. ViVi originated at the University of Toronto.
Our team comes from
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