Prove patient access to win more trials.
Bring verified patient access data directly into feasibility for every trial. Don't just say you have the right patients — prove it with real, trial-specific data sponsors trust.
Fuel faster patient identification with AI Patient Pre-Screening
Where it creates value
Pre-site selection
Prove your patient access before the trial begins
- Showcase your verified patient access to sponsors.
- Patient Access reports give sponsors the proof to select your site with confidence.
Post-site selection
Deliver on the promise made during feasibility
- 2.3x faster to first patients screened.
- 90% reduction in pre-screening time.
- Live patient pipeline dashboards build sponsor trust.
How it works
How do you want to upload patients?
Upload PDF patient records
Import patients from EHR
Import patients from CTMS
Designed around your workflow.
Connect your EHR or CTMS, or simply upload PDFs.
Learn about our connectionsPatient record · Auto-imported from EHR
Sarah Johnson
Date of birth14 Mar 1962
MRN4891-22-7A
Phone+1 (415) 555-0148
AddressSan Francisco, CA
Matched eligibility criteria
- Adult ≥ 18 yrs with diagnosed severe Asthma
- FEV1 between 40% and 80% of predicted
- ≥ 2 exacerbations in last 12 months
Eligible· 97%
Identify eligible patients.
Redacted, assessed records ready to review in minutes.
Patient pre-screening
🫁Phase 3 · Severe Asthma
Patient 1
Patient 2
Patient 3
Patient 4
Patient 5
FailedHours of review, compressed to minutes.
Track every candidate across studies, ranked by eligibility. Connect your CTMS for a fully streamlined workflow that lets site staff focus on the patients who matter.
Proof points
Measurable Results
+70Khrs
saved across sites
2.3xfaster
to first patient screened
98%
AI accuracy rate
90%
reduction in pre-screening time
160+
sites adopted globally
270+
patients randomized
Case Study
How Pantheon Clinical Research used Inato's AI Patient Pre-Screening to outpace competitors on a high-stakes weight-loss trial.
181hrs
saved reviewing patient records in a single trial
4.5weeks
of manual work eliminated
\$4,521
direct CRC labor savings using Inato
97.5%
screening success rate
Records reviewed per hour
Manual review vs. Inato AI review
Manual review
0.33
Inato AI review
12.4
Reviewing 62 records traditionally takes ~186 CRC hours. With Inato, the same review was completed in just over 5 hours — about 5 minutes per record.
"
The impact has been immediate. The sponsor awarded us four additional studies and asked why other sites were not using similar technology.
Connect your current workflow with Inato
EHR systems, CTMS platforms, and data exports — all working together in one place.