Solutions

Built for every stakeholder

Purpose-built intelligence for the clinical trial ecosystem.

Sponsors

Compress timelines. Maximize data value.

AI protocol optimization — compressing design cycles from months to weeks.

Predictive enrollment modeling identifies high-performing sites before recruitment.

T2T marketplace generates post-trial revenue from unused data assets.

CROs

Scale with intelligent automation.

Real-time site scoring and deviation tracking across all active studies.

Automated IND/NDA/BLA gap analysis across FDA, EMA, and ICH.

Agentic tools that monitor trial health and execute decisions 24/7.

Research Sites

Recruit faster. Stay compliant.

Predictive modeling, diversity tracking, and automated pre-screening.

Automated deviation detection and early-warning compliance systems.

Integrated ePRO, eConsent, and remote monitoring for decentralized trials.

Regulators & Academics

Validated AI. Research-grade data.

Institutional-grade datasets with validated provenance chains.

Full transparency — confidence intervals, sensitivity analyses, audit trails.

ADNI/NACC/RUSH integration reference architecture.

Comparison

Why TrialDataX.AI?

CapabilityLegacyTrialDataX.AI
Protocol optimizationManual, iterativeAI-adaptive, real-time
Enrollment predictionSpreadsheet-basedML, 60+ day lookahead
Regulatory submissionFragmented toolsIntegrated, automated
Trial monitoringPeriodic check-ins24/7 autonomous agents
Data monetizationNot possibleT2T marketplace
Adaptive decisionsManual DSMBBayesian real-time

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Healthcare