Head to head
Trialbee vs Deep 6 AI
Referral orchestration versus patient identification.
Trialbee
Deep 6 AI
Model
Trialbee
AI patient matchingDeep 6 AI
AI patient matchingIn one line
Trialbee
Patient matching and orchestration across multiple referral sources.Deep 6 AI
Mines clinical records, including unstructured notes, to find eligible patients.What they do
Trialbee
Provides a matching and orchestration layer that ingests referrals from many channels — media, partners, registries, health data — and routes and tracks them to sites, giving sponsors one view of funnel performance.Deep 6 AI
Applies natural language processing to health system records — notes, pathology, imaging reports — to surface patients who meet criteria that structured coding misses, then supports site-side outreach.Pricing
Trialbee
Platform licence plus optional recruitment services.Deep 6 AI
Enterprise software agreements with health systems and sponsors.Strengths
Trialbee
- Channel-agnostic: measures sources against each other honestly
- Good funnel visibility from referral through randomization
- Useful when several recruitment vendors are already in play
Deep 6 AI
- Finds patients invisible to ICD-code queries
- Publicly focused on oncology and other criteria-heavy indications
- Supports feasibility with counts from real records rather than estimates
Watch for
Trialbee
- A measurement layer does not by itself create patients
Deep 6 AI
- Value depends on your sites being connected health systems
- Identifying a patient is not consenting one; site outreach still has to happen
Best for
Trialbee
Sponsors running multiple recruitment vendors who cannot see which one works.Deep 6 AI
Oncology and precision-medicine trials with complex eligibility criteria.Poor fit
Trialbee
Single-vendor studies where another layer adds cost without insight.Deep 6 AI
Studies at small independent sites without integrated record systems.When Trialbee is the right call
Pick Trialbee when referrals arrive from multiple sources and get lost in routing, matching, and handoff to sites.
When Deep 6 AI is the right call
Pick Deep 6 AI when the patients exist in health-system records and nobody has found them yet.
How to actually decide
Identification without orchestration produces lists nobody works; orchestration without identification produces excellent routing of too few patients. Map your own funnel and buy for the stage that leaks. Ask both which of your site systems they integrate with, and how long integration took at comparable sites.
Do not pick on capability decks. Give both the same brief — your protocol, your countries, your screen failure assumptions — and ask each for the referral-to- randomization ratio they achieved on the three most similar studies they have run. Then price both on cost per randomized patient. The comparison usually resolves itself at that point, and often reveals that neither is the problem: the enrollment assumptions in the protocol were wrong from the start.
Our sister publication Rock Enroll covers that diagnosis in depth for sponsors and CRO teams.