3%
of cancer patients enroll in trials
8%
even with a trial nearby
150+
5
cancer types with disease-specific logic
The problem: Willing patients, no precise tools
The patient engagement gap
Why institution-side matching produces low enrollment — and how patient-initiated matching changes the equation.
Traditional matchers
Tempus, Flatiron, xCures
Patient databases
Algorithm matches
Patients contacted
Patients interested
CancerBot + EXACT
Patient-initiated
Motivated patients
150+ criteria matching
Eligible trials shown
Patients enroll
Matching precision: EXACT vs. competitors
Three-tier match intelligence
Every match is categorized to save your screening team time and effort.
The patient journey with CancerBot
1
Diagnosis, stage, biomarkers, treatments, lab values — through a guided, empathetic conversational interface.
2
EXACT runs 150+ criteria
Every trial evaluated against the patient's full clinical profile, including disease-specific attributes, mutations, and organ function.
3
Ranked results delivered
Trials ranked by a composite Goodness Score weighing benefit, patient burden, risk, and distance. Per-criterion explanations included.
4
Patient connects to your site
Motivated, pre-screened patients reach out to your trial site — already knowing they may be eligible. Dramatically reduces screening failures.


