Our AI-powered service automatically cleans and harmonizes lab, device, and ePRO datasets — cutting reconciliation time by up to 70% and making sponsor data trial-ready for EDC or analysis.
In a diabetes trial, reduced lab reconciliation from 3 weeks to 5 days.
Every trial, CROs receive sponsor datasets that don't line up with their systems.
These issues introduce delays, increase quality risks, and consume valuable operational bandwidth.
These delays aren’t due to staff performance — they’re process-level gaps AI can solve.
In an oncology trial, the lab sent HbA1c data in Excel and PDF with shifting headers. CRO teams spent 4–5 hours/week reconciling changes.
Normalized instantly, schema changes flagged, QC burden reduced by 40%, database lock accelerated by 2+ weeks.
Our AI automatically
Parses Excel, CSV, XML, and PDF lab reports.
Normalizes headers and units.
Flags schema drift before QC issues arise.
Outputs clean, EDC-ready datasets in SDTM or your required format.
All without needing fixed templates, macros, or pre-written conversion rules.
This frees up your team to focus on strategy and quality — not formatting fixes.
Let’s discuss how this might help your team reduce delays, streamline data readiness, and simplify sponsor collaboration.
