AI-accelerated clinical trials
Trial recruitment: 18 months → AI-enhanced: 6-9 months. Automate patient matching, accelerate enrollment, and improve data quality with AI built in weeks.
Performance benchmarks
Where does your trial operation sit? Compare across four critical metrics.
Sources: Industry benchmarks 2024. AI recruitment market: $641.6M (2024) → $2.4B (2030) at 24.8% CAGR. Pharma AI market: $1.94B (2025) → $16.49B (2034).
What global leaders are doing
Industry examples from publicly reported initiatives — not Xamun projects. Included to illustrate what AI transformation looks like in this sector.
The world's top pharma and research organizations are deploying AI across the trial lifecycle.
- ✓ NLP for patient population identification
- ✓ Saama partnership: Smart Data Quality platform
- ✓ AI-powered trial feasibility assessment
- ✓ 30% improvement in treatment response via AI stratification
- ✓ $45M Relation AI partnership (fibrotic diseases)
- ✓ Proteomic/genomic data for patient cohorts
- ✓ Enrollment rates ~2x higher than manual screening
- ✓ AIWithCare spinout company (2024)
- ✓ Scalable multi-health-system deployment
- ✓ TrialGPT: identifies trials + explains eligibility
- ✓ Processes structured + unstructured clinical data
- ✓ Automates enrollment identification
The transformation opportunity
What changes when a mid-market CRO or pharma company deploys AI across trials.
- ✗ Recruitment timeline: 12-18 months
- ✗ Patient ID: manual chart review, referral-based
- ✗ Screening: 100-200 manual screens/month
- ✗ Enrollment success: 40-50% of screened
- ✗ Eligibility assessment: labor-intensive, error-prone
- ✗ Diversity: limited to referral pathways
- ✓ Recruitment timeline: 6-9 months
- ✓ Patient ID: automated EHR mining + AI matching
- ✓ Screening: 2,000-5,000 automated/month
- ✓ Enrollment success: 65-75% of screened
- ✓ Eligibility: automated with human review
- ✓ Diversity: 30-40% improvement in representation
We build it, run it with your team — and you pay per trial visit processed.
No upfront CAPEX — we invest the build ourselves. Once it’s live, you pay a small toll per trial visit or data submission processed the system processes: a small fraction of the value each one creates. A slow month means a small invoice; if it doesn’t run, you don’t pay.
We’re not a vendor shipping software into your operation. For the operation we run, we’re part of your company — in your numbers every week, paid only as they move. Where processed visits aren’t the honest measure, we price it as a fixed project instead; the accountability doesn’t change, only how you pay.
How Xamun delivers this
From diagnostic to deployed system in weeks — not months.
Xamun Intelligence benchmarks your recruitment timelines, screening throughput, enrollment rates, and data quality against AI-enhanced leaders. Identifies highest-ROI automation targets.
Patient matching AI with 93%+ accuracy, automated EHR screening, trial feasibility engines, real-time data validation, and diversity analytics — scoped and built in weeks.
50-100% faster recruitment. 2-3x screening volume. 25-35% enrollment improvement in 6 months. 40-50% data quality improvement in 3 months.
See XI run a diagnostic on your clinical trials
Book a discovery call to see how your trial operations benchmark against AI-enhanced leaders — and what Xamun can build for you in weeks. No upfront cost — you pay only when the system runs.