Clinical trials start 3 months late because of database setup. Not because of science. Because someone is manually copying protocol text into form fields.
ContinueThe Delay: Because someone is building eCRF manually and constantly billing you.
The Guesswork: Using old studies and patterns. The clock keeps ticking and the meter keeps running.
The Queries Drama: The queries to correct data in 2026 seem just useless drama, isn't it?
The Risk: The EDC market is $3.5Bn and leaving outcome to guesswork is a huge bet.
Ghost Investigators: The ongoing problem and leakage in resources.
Manual setup cost in $k
Study setup time span in weeks
~12 weeks of grind
The labor math without queries drama
8–20 min
Time spent / form
35%
Wrestling EDC daily
60%
Source data verify
Ifs and buts math (hypothesis)
The Agentic UX: Bye to learning curves and clicking around — just tell your intent to Clin.
The Protocol Editor: Upload an existing protocol or generate one based on therapeutic area.
The eCRF: Upload an existing protocol and ask Clin to generate for you.
EDC: Let Clin take your notes and auto-populate your data into the relevant forms.
Adverse Event: Ask Clin to submit your AE data.
SDTM: Ask Clin to map and submit your data.
Chat with Clin
A Randomized Phase II Study of Investigational Therapy in Early-Stage Breast Cancer
Target enrollment
120 subjects
Age range
18–75 years
Duration
24 months
Primary endpoint
pCR rate
Intent-based Architecture generation — Patent pending
Conversational Protocol Parsing & eCRF CRUD — Patent pending
Zero-form EDC, patient mood analysis, automated AE detection — Patent pending
Abridging app for EHR/EMR and data silos
No competitor can ship conversational-to-executable trial infrastructure without infringing.
Solved the handy bottlenecks
Active
Inbound EDC webhooks
Active
EMR / FHIR patient read
Active
eCRF generator
Active
EDC workflow
What else we are building
Coming soon
Hardware / Data center
Sovereign edge appliance + private compute perimeter