Intelligent Patient Recruitment
Mines EHR data — clinical notes, labs, imaging, diagnosis codes — to identify eligible patients across your network in hours.
Award-Winning Clinical Trial AI
One Platform. Three Trial Problems Solved.
Recruitment, retention, and real-world evidence — the three most expensive failure points in clinical research, addressed by AI built for the pace modern trials demand.
Retention & Participant Engagement
Tracks dropout signals — missed check-ins, side effects, late visits — and flags at-risk participants to coordinators with next steps.
Real-World Evidence Generation
Aggregates EHRs, claims, registries, wearables, and pharmacy records into regulatory-grade cohorts for post-marketing studies.
Where Clinical Trials Lose Time and Money
Most trials fall behind not because the science fails, but because the right patients can't be found, enrolled, or retained fast enough for usable data.
How We Fix ThisWhat Clinical Trial AI Manages
Recruitment, retention, and real-world evidence on one AI platform.
What Your Trial Team Works With Every Day
Four workspaces for coordinators, biostatisticians, regulatory teams, and trial leadership.
Site Performance Dashboard
Accrual vs. projections, dropout rates, and predictive flags before timelines slip.
Participant Engagement Monitor
Live retention risk scores and recommended interventions before participants drop out.
Real-World Evidence Workbench
Cohort building, outcome analysis, and regulatory-grade evidence documentation.
Protocol Optimisation Analytics
Eligibility analysis and site feasibility scores before the trial opens.
Unified Trial Intelligence Layer
Recruitment, retention, evidence, and regulatory milestones in one live view.
Clinical Trial AI: What the Numbers Showed.
Each metric ties to a real AI-driven trial outcome.
Book a Live Demo85%
Retention rate achieved using adaptive engagement and personalised communication — keeping enrolled patients in is the highest-return investment a sponsor can make.
16 vs 2
Eligible patients identified by AI in 1 hour versus 2 found manually over 6 months — the case for computational eligibility screening.
27.3%
CAGR of the AI patient recruitment and retention market through 2034 — operational trial problems now treated as seriously as scientific ones.
USD 13.23B
Projected AI clinical trial market by 2034, up from USD 2.48B in 2025 — driven by recognition that recruitment and retention are solvable with AI.
Weeks
Instead of years — AI-generated synthetic data now validates surrogate oncology endpoints, reshaping evidence generation at every stage of development.
85%
Reduction in pre-screening time via protocol feasibility analysis — enrollment rates predicted and criteria adjusted before a single patient is screened.
Who This Platform Serves
Built for every organisation running clinical research.
-
Pharma & Biotech
Pharma & Biotech
Compresses Phase II/III timelines across trial portfolios.
-
CROs
CROs
Improves enrollment speed, data quality, and adherence.
-
Academic Medical Centres
Academic Medical Centres
Sponsor-grade eligibility and feasibility screening.
-
Medical Device & Diagnostics
Medical Device & Diagnostics
Real-world evidence for CDSCO and MDR post-market work.
-
Decentralised & Hybrid Trials
Decentralised & Hybrid Trials
Remote monitoring, wearables, and eConsent, no separate DCT stack.
Built on Standards Your Institution Already Operates Under
Integrates with your existing EHR, trial management, and data governance infrastructure — no parallel systems, no forced migrations.
Clinical Data
EHR & Clinical System Integration
FHIR-compliant APIs within your data governance framework.
Trial Management
Clinical Trial System Connectivity
Works alongside your existing CTMS, EDC, and eClinical platforms.
Real-World Data
Real-World Data Source Integration
Unified analysis layer for cohort building and evidence generation.
Compliance
Regulatory & Privacy Compliance
Compliance for pharma, biotech, and academic research orgs.
Analytics
Evidence & Reporting Layer
Audit-ready data lineage formatted for direct submission.
Engagement
Participant Engagement Infrastructure
Omnichannel communication, consent, and remote visit support.
The Right Patients. Enrolled Faster. Retained Longer. Evidence Generated at Scale.
The tools exist to find patients faster, keep them engaged, and generate regulator-accepted evidence — at a cost that makes more trials viable. Book a demo to see how it works for your program.
Book a Clinical Demo
Award-Winning AI Development & Consulting
100 Fastest Growth Companies
Global Spring Winner
Top App Development Company
AWS Partner Network
Google Cloud Partner
Highly Rated on Trustpilot
Verified Agency
Top App Development Company
ASSOCHAM Member
Frequently Asked Questions
[ 1 ]
How does the platform access patient data for recruitment screening?
Through FHIR-compliant EHR APIs, inside your existing data governance framework and research data use agreements.
[ 2 ]
Can the AI identify patients who do not yet fully meet eligibility criteria but might in future?
Yes. Predictive screening flags patients whose disease trajectory suggests they will qualify within a defined window.
[ 3 ]
How does the retention risk scoring work in practice?
Scores update with every new data point; crossing a threshold sends coordinators a reason-coded alert.
[ 4 ]
Is the platform compliant with CDSCO requirements for India-based trials?
Yes. CDSCO registration, Schedule Y documentation, and ethics committee workflows are supported.
[ 5 ]
Can we use this for investigator-initiated trials with limited IT infrastructure?
Yes. We integrate with legacy and partial setups, so no full EHR implementation is required first.
[ 6 ]
How quickly can enrollment improvement be seen after deployment?
Screening throughput shifts in two to four weeks; retention gains show over the first full month.
Global presence
