Community Oncology
Bring expert-level decisions to the 80% of patients treated outside academic centers — no physical board required.
Learn more●Building the brain of precision oncology
Every patient deserves a tumor board. Now they can have one.
Genomic OS is a virtual Molecular Tumor Board. Specialized AI agents — oncologist, pathologist, radiologist, geneticist — review every case together. Expert-level decisions in under 30 minutes, for under $500.
< 30 min
Per case
< $500
Vs $4–6K MTB
80%
Patients reached
● Live vMTB
Oncologist
Pathologist
Radiologist
Geneticist
g
vMTB Decision
Treatment
Recommendation
Confidence94%
Trial Match3 open
Time< 30 min
Cost< $500
Ingest›Multi-Agent Review›Debate›Consensus›Decision
EGFR L858R·TP53 R175H·KRAS G12C·BRAF V600E·ALK fusion·MET ex14 skip·PIK3CA H1047R·BRCA2 N991D·ERBB2 amp·STK11 loss·RET fusion·ROS1 fusion·NTRK1 fusion·CDKN2A del·MYC amp·EGFR L858R·TP53 R175H·KRAS G12C·BRAF V600E·ALK fusion·MET ex14 skip·PIK3CA H1047R·BRCA2 N991D·ERBB2 amp·STK11 loss·RET fusion·ROS1 fusion·NTRK1 fusion·CDKN2A del·MYC amp·
What clinicians say.
"I see 40 oncology patients a week. There's no universe where each gets a real tumor board. Genomic OS gave me that opinion in 22 minutes — with reasoning I could actually defend."
"We caught a missed actionable variant on a lung case where the standard report flagged nothing. The radiology and pathology agents pushed back — that's the value."
"The platform doesn't hand me an answer. It hands me a transcript of experts disagreeing and resolving. That's what makes it usable in clinic."
How It Works
Not one model. A board of experts.
01. Ingest
Multi-Modal Context
Genomics, pathology, imaging, labs, and clinical history — unified into a single patient case.
02. Reason
Specialist Agents
Oncologist, pathologist, radiologist, geneticist agents review the case from their own lens.
03. Debate
Multi-Agent Board
Agents challenge each other — surfacing disagreements, biases, and edge cases like a real MTB.
04. Decide
Living Consensus
Actionable treatment and trial decisions with full reasoning. Updated as new evidence emerges.
The SML System
Four minds. One conversation.
A Specialist Multi-Agent system (SML) doesn't average answers — it preserves the dialectic. Each agent owns its evidence base. Disagreements surface. Edge cases get caught.
g
Oncologist
Pathologist
Radiologist
Geneticist
Live transcript · case #2046-A recording
agents reasoning...
Reasoning confidence · per axis● n=2046
Treatment recommendation94%
Trial eligibility88%
Resistance probability71%
Liquid biopsy signal-to-noise82%
CNS penetrance match96%
Why Multi-Agent
A single voice can't catch what a board catches.
Real tumor boards work because specialists disagree out loud. The radiologist sees what the pathologist missed. The geneticist questions the call. We built a Specialist Multi-Agent system that preserves that reasoning — instead of collapsing it into a single answer.
Multi-modalContinuously learningAuditable reasoningOutcome-tracked
Static Report vs vMTB● live
ReasoningHiddenTranscript
UpdatedDay of reportContinuously
Liquid biopsy noisePass-throughFiltered
Trial matchingManualReal-time
Cost / case$4–6K< $500
TurnaroundWeeks< 30 min
Use Cases
One brain. Every cancer decision.
Genomic OS runs the same multi-agent reasoning across every oncology workflow — from community clinics to academic boards to clinical trial enrollment.
Academic Medical Centers
Augment your existing MTB with always-on triage, pre-review, and outcome tracking across thousands of cases.
Learn moreClinical Trial Matching
Surface eligible trials in real time. Move from 5% trial enrollment to evidence-based matching at scale.
Learn moreLiquid Biopsy Triage
Cut through the noise. Multi-modal reasoning reduces false positives that derail treatment decisions.
Learn moreSecond Opinion at Scale
Patients and oncologists get an instant expert review — without the weeks-long referral cycle.
Learn morePayer Decision Support
Auditable reasoning trails for coverage decisions on targeted therapies and emerging indications.
Learn moreCommon Questions
Clear answers.
What is a virtual Molecular Tumor Board?+
A vMTB simulates the multi-disciplinary case review that elite cancer centers run — using specialized AI agents (oncologist, pathologist, radiologist, geneticist) that interact, challenge each other, and reach a documented consensus. The output is a treatment and trial decision with reasoning, not a static report.
How is this different from a single LLM giving an answer?+
We run a multi-agent system. Each agent is trained to think like its specialist, with its own evidence base. They debate, surface disagreements, and reach consensus — exactly how human boards work. A single model collapses that reasoning into one voice; we preserve it.
What data does Genomic OS need to run a case?+
Whatever you have. NGS panels, WES/WGS, IHC, imaging, pathology reports, EHR notes, prior treatments. The system fuses multi-modal context — that's how we cut false positives that pure mutation-matching tools miss.
How does it handle liquid biopsy noise?+
Liquid biopsies surface low-VAF variants that may be CHIP, germline, or true tumor signal. Our agents weigh allelic context, prior tissue results, and clinical trajectory together — instead of treating every variant as actionable.
Does Genomic OS replace my oncologist or my MTB?+
No. It augments them. Community oncologists get expert-level input they otherwise can't access. Academic MTBs use it for triage and pre-review so the human board focuses on the hardest cases.
How fast and how much?+
Under 30 minutes per case. Under $500. Compare to $4,000–$6,000 and several weeks for a traditional MTB.
How does the system stay current?+
Knowledge updates continuously from new trials, guideline changes, and outcome data. Unlike static genomic reports written on day one, vMTB reasoning reflects the evidence available today.
Is patient data secure?+
Yes. HIPAA-compliant, SOC 2 controls, regional data residency, and zero training on identified patient data.
The next patient is waiting.
Don't make them wait weeks for an opinion that should take minutes.
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