Remote and hybrid trials create new failure modes: missed check-ins, inconsistent self-reports, delayed escalation, device non-adherence, and too many manual touches for coordinators and CRAs.
MetaBrain Labs’ patent-backed Remote Clinical Trials Agent™ enables a governed, protocol-aligned participant engagement layer that can run across ePRO/eCOA workflows (with or without sensors). It guides participants through structured check-ins and assessments, links responses to real-world context and relevant data streams, and triggers role-based, auditable next steps—so teams improve adherence and data quality without compromising compliance.
Designed to work wherever the participant is—at home, on-the-go, or in-site—supporting:
ePRO / eCOA check-ins and scheduled assessments
Pre-visit prep and between-visit symptom tracking
Adverse event (AE) capture with structured follow-ups (operational triage; clinical decisions remain with your team)
Medication and protocol adherence support
Device/wearable data capture when applicable (optional)
Participant “need help” flows and escalation routing
Coordinator-ready summaries and structured documentation for downstream systems
Most teams can launch an AI agent. Far fewer can deliver governed workflow agents that integrate real-time data, link it to participant interactions, and trigger auditable actions—because the hard parts are signal ingestion, baseline comparison, validation loops, policy gates, and traceability in regulated environments.
AI-Agent Enablement: baseline-aware, telemetry-informed conversational decisioning that routes outcomes through role-based controls, audit trails, and escalation rules.
Working with us, your organization will be positioned to:
- Improve adherence through real-time check-ins aligned to protocol windows and risk signals
- Expand assessments by connecting responses to context and relevant data points, reducing missingness
- Reduce site and support burden with automated triage and structured documentation to the right role
- Improve data quality with validation loops that confirm events and resolve inconsistencies
- Deploy with governance, approvals, escalation paths, and auditability suitable for regulated operations
- Prove ROI with instrumentation: fewer deviations, faster query resolution, higher completion rates, cleaner datasets
We start with a focused working session to identify the highest-value adherence and data-quality workflows, define the minimum viable data linkage and baseline approach, set governance gates, and map the fastest integration path in your stack. If preferred, we can do this under mutual NDA and align early on licensing strategy.
