AI takes inconsistent free-text responses from physicians and produces a clean, structured, comparable dataset in seconds.
The Problem Today
Collecting responses from 40+ investigators in different formats — emails, free text, varying terminology — and normalizing them into a usable dataset is done manually today, taking 4–6 hours per study.
“The biggest pain point in feasibility is not asking the questions — it's normalizing the answers. AI can take 40 different free-text responses and produce a clean, comparable dataset in seconds.”
AI will produce: Normalized table · Gap detection · Aggregated summary · Follow-up questions
Paste physician responses and click Normalize
Try the 5 example responses →
Based on 20 studies/year × 5 hrs manual normalization × $75/hr. Does not include value of faster site selection and earlier patient enrollment.