Oncology intelligence that adapts to where you practice. Designed to reason from within the clinical context of wherever you practice — not from a single market outward.
An oncologist in Lisbon, São Paulo or Toronto faces the same clinical questions as one in Boston. The evidence is the same. The guidelines increasingly converge. But the regulatory reality — what is approved, what is reimbursed, what trials are accessible — is entirely different.
Most clinical AI tools answer that question from a US frame of reference. SilverCancer is designed to answer it from your frame of reference — wherever you are.
The agent knows your regulator, your reimbursement authority, your guideline bodies and your trial registries. It reasons accordingly, without being asked to.
The same question gets a different, locally accurate answer depending on where you practice. This is not a filter — it is how the agent thinks.
Built exclusively for oncology and haematology. Not a general medical tool extended to cancer. Every capability is designed around how oncologists actually work.
Every answer states the certainty of evidence and why. Not just what the evidence says — how certain we are. The difference matters for clinical decisions.
SilverCancer synthesises evidence. The clinical decision belongs to the clinician. This is not a legal disclaimer — it is a position on what AI in medicine should be.
If you practise oncology and want to talk about what we are building — we want to hear from you.