Participant Support Intelligence™
The Intelligence Layer That Participant Support Has Always Needed
An emerging AI-enabled decision support engine designed to give sponsors and sites the intelligence they need to design participant support systems that are ethical, operationally feasible, and optimized for access.
"The next frontier of participant support is not just about doing more — it's about knowing more. Earlier. With greater precision."
The Problem
Navigating Participant Support in the Dark
Sponsors and sites currently navigate participant support strategy in the dark — relying on static budget assumptions, limited benchmark data, and siloed institutional knowledge.
There is no decision support infrastructure for participant support that connects country-level regulatory realities, site-level capacity, participant demographics, and available nonprofit resources.
The result: support systems designed in a vacuum, disconnected from the populations they're meant to serve — and participants who pay the price.
Static budget assumptions disconnected from real participant burden
No cross-country regulatory intelligence for compensation decisions
No framework for identifying and engaging nonprofit resources
Protocol design completed before support strategies are considered
Site-level capacity gaps invisible to sponsors
Envisioned Capabilities
What Participant Support Intelligence™ Is Designed to Solve
Country-by-Country Guidance
Participant compensation guidance based on regulatory requirements and ethical frameworks, mapped across key clinical trial geographies.
Site-Level Support Mapping
Site capacity assessment and gap analysis to identify where participants are most underserved and where support interventions create the most impact.
Participant Burden Modeling
Protocol-level modeling of the financial, logistical, and emotional burden participants face across different trial types and demographic populations.
Nonprofit Ecosystem Mapping
Structured mapping of nonprofit organizations by geography, disease area, and capability — with engagement feasibility scoring for responsible integration.
Budget Scenario Modeling
Adaptive support budget modeling that moves beyond fixed-cost reimbursement to flexible, participant-centered financial planning frameworks.
Built on Evidence
Grounded in Real-World Intelligence
14,000
Informed consent forms analyzed using AI — establishing first-of-its-kind baseline data on sponsor payment practices
DIA Consortium
Landscape analysis on participant compensation across the clinical research industry
15+ Years
Global operational intelligence informing the intelligence architecture
Vision
A Phased Intelligence Roadmap
What follows is a directional vision, not a fixed commitment — shaped by the needs of the industry as the platform evolves.
Decision Support for Payment Strategy
Country-level compensation guidance, regulatory mapping, ethical framework alignment for sponsor payment decisions.
Site-Level Support Optimization
Capacity gap identification, nonprofit matching, adaptive support recommendations at the protocol and site level.
Predictive Burden Modeling
Protocol-level participant support planning informed by demographic data, historical trial performance, and real-world burden patterns.
Interested in Early Access or Collaboration?
Whether you're a sponsor, site network, or technology partner, we'd welcome a conversation about how Participant Support Intelligence™ can serve your mission.
Schedule a Conversation