Agentic Oncology AI Platform

One Platform.
One Intelligence Layer.
Transforming the Future of Cancer Care.

OncoAIHub unifies AI-powered oncology intelligence across clinical data, medical imaging, histopathology, molecular and biological research, patient care, and medical affairs—connecting data, evidence, and expertise to accelerate precision cancer care, research, and better patient outcomes.

About

One Intelligence Layer Across the Entire Cancer Journey

OncoAIHub is an AI-powered oncology platform built on a simple observation: the information needed to treat, support, and study a cancer patient already exists — it is just scattered across systems that don't talk to each other.

We bring it into one connected ecosystem. Six products, one intelligence layer, spanning the full arc of cancer care: OncoDoctorAI and OncoReach for clinical intelligence and tumour board decisions; OncoImagingAI and OncoTissueLensAI for radiology and digital pathology, reading scans and slides for the findings that drive staging and response; OncoLife for patient support through treatment; and OncoJournal for research and evidence.

Each product works on its own. Together they share one record, one vocabulary, and one audit trail — built to FHIR R4, DICOM, OMOP CDM, AJCC staging, CTCAE, and NCCN pathways, with DPDP, HIPAA, and GDPR compliance designed in. Every claim traces back to its source, and a clinician always signs.

Product

Explore the Intelligence Powering the Future of Oncology.

Discover AI-powered solutions advancing precision oncology across clinical care, imaging, histopathology, research, patient care, and medical affairs.

Clinical platformDemo ready

OncoReach

The clinical spine. Registration through treatment planning, with the tumour board seeing one record instead of six systems.

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Evidence intelligenceLive

OncoJournal

Reads the oncology literature the way a research fellow does, and keeps the citation attached to every claim it makes.

Launch OncoJournal →
Patient companionLive

OncoLife — Patient Care

The patient side of treatment. Symptom check-ins, plain-language answers, and a route to a human the moment it matters.

Launch OncoLife →
Imaging intelligenceDemo ready

OncoImagingAI

AI-powered cancer imaging intelligence that transforms CT, MRI, PET, ultrasound and other medical images into actionable clinical insight.

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Clinician copilotDemo ready

OncoDoctorAI

The copilot at the point of care. Asks the record, not the internet, and shows the evidence behind every answer.

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Digital pathologyDemo ready

OncoTissueLensAI

Look inside the tissue. Reveal cancer biology. AI-powered pathology that transforms histopathology images into actionable biomarker and molecular insights.

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Healthcare

The same pathway, read from five different chairs.

A cancer centre, a research group, a medical affairs team and a patient are all looking at one course of treatment. They need different things from it. The platform is one pipeline with five views.

Cancer centres and hospitals

The board spends its first ten minutes assembling the case instead of discussing it.

  • One structured record assembled before the meeting, staged and matched
  • Trial options ranked, with exclusion reasons visible
  • Toxicity followed between visits, escalated when it stops being routine

Cancer research groups

Cohort building takes a quarter, and the abstraction is done by hand.

  • An OMOP layer populated by the same extraction that runs in the clinic
  • Cohort definitions that are reproducible and reviewable
  • Study-ready outcome tables rather than a CSV and good luck

Pharma medical affairs

MSL enquiries wait on the one person who knows the data.

  • Enquiry handling grounded in approved content, with citations attached
  • Evidence briefs by indication and line of therapy
  • Congress and label tracking that flags what changed, not everything

Pharmacovigilance

Signals surface late because the real-world data is unstructured.

  • CTCAE grading across the treated population, continuously
  • Signal triage with the case narrative kept intact
  • An audit trail built for a regulator reading it two years later

Patients and navigators

Between appointments, the patient is on their own with a symptom and a search engine.

  • Check-ins in the language the patient reads
  • Answers about their plan, not about cancer in general
  • A route to a human, taken early rather than late

Contact

Bring a case. We will run it end to end.

A 30-minute executive demo follows a single de-identified patient across the complete AI-agent workflow—from intake to treatment regimen—demonstrating how intelligent agents collaborate, drive clinical insights, and provide transparent rationale at every step.