Scoop: AI agents that speed up drug trials, starting with IND filings
We create ready-to-submit regulatory documents so new therapies can reach clinical trials faster
Hey everyone, we’re Jay and Vincent.
tl;dr: Scoop uses AI to automate the paperwork required to start and maintain human drug trials, reducing timelines from months to days.
The Problem
Biotechs spend months preparing the documentation required to start human trials. Most of the time goes into organizing results, rewriting information across many documents, and keeping everything consistent.
Companies often hire Contract Research Organizations(CROs), which run clinical trials and also help prepare these submissions. But their document assembly process is still manual and slow, so timelines stretch and costs rise.
Every update requires repeating the same work. This delays trials and wastes $$$ before a single patient is treated.
The Solution
Scoop turns your internal data and study reports into a continuously updated submission workspace.
Our system generates the draft documents in the required structure, keeps everything consistent when new data comes in, and flags anything that needs review. Teams focus on approving content, not assembling it.
What used to take months can now be completed in days.
Impact
We're compressing IND assembly from the order of months to days. For a typical biotech, that means:
- Getting to first-in-human trials 2-5 months faster
- Saving $100K+ in CRO fees per submission
- Reducing rejection risk through automated compliance checks
About Us
We met at UPenn 16 years ago (yes, it’s been a minute) and have been best friends ever since.
Vincent led AI-powered document processing for Fortune 10 companies at Persona, automating KYB/KYC workflows at massive scale. Previously, he was a tech lead at Dropbox.
Jay was a tech lead in Google Search AI and previously worked at biotechs including Genentech, and has helped file INDs and led statistical design work for a Phase 3 ALS clinical trial. He holds two MS degrees in both Biotechnology and Computer Science.
We've seen both sides of this problem: the AI capabilities that can solve it and the regulatory complexity that makes it hard.
Our Ask
We’d love warm introductions to regulatory leads at biotechs or CROs who want to accelerate IND preparation and modernize their submission workflows.
Thanks!