AI-native clinical research
Turn clinical-trial protocols into AI agents that help sites run studies.
HudlHealth converts trial documentation into screening, follow-up and workflow agents that reduce manual site work and help sponsors get studies recruiting faster.
Protocol to action
The problem
Trials lose time where they are actually executed: at the site.
Sponsors invest heavily in sophisticated trial infrastructure, but clinical research coordinators still spend enormous amounts of time manually translating protocols into screening decisions, forms, follow-ups, training and documentation.
85%
Of clinical trials are delayed by screening and recruitment failure.
FDA · JeevaTrials 2024
7h+
Coordinator time per enrolled patient, almost entirely manual.
Penberthy et al., arXiv 2025
$35K / day
Direct trial operating costs absorbed by sponsors during a delay.
Tufts CSDD 2023
Clinical-trial coordination is fundamentally a data-orchestration problem.
Sites repeatedly collect fragmented information, interpret it against protocol rules, document the result, trigger the next action and follow up.
How HudlHealth works
From protocol PDF to executable clinical research AI agent.
Input
Protocol Intelligence
Extracts what matters from every document
Agents
Screening Agent
Eligibility against protocol criteria.
Follow-up Agent
Protocol-defined outreach and escalation.
Knowledge Agent
Cited answers from protocols and study documentation.
Custom Workflow
Study-specific tasks, forms and checks.
Action
A clinical protocol is an uncompiled software specification. HudlHealth compiles it into the agents and workflows that run the study.
For sponsors
Get sites productive faster.
Give every participating site the protocol-specific tools it needs without commissioning another bespoke software project.
- Reduce repetitive site workload
- Standardize protocol execution across sites
- Improve screening and recruitment readiness
- Automate protocol-defined follow-up
- Identify blockers earlier
- Improve visibility across participating sites
- Work alongside existing clinical systems rather than replacing everything
For research sites
Give coordinators more time for patients.
HudlHealth turns complex study documentation into practical AI assistance for everyday site work.
- Screen using documents already available to the site
- Reduce repetitive protocol checking
- Turn questionnaires into digital workflows
- Automate reminders and follow-ups
- Ask protocol questions and receive cited answers
- Reduce duplicate administrative work
- No EHR integration required for initial workflows
Core capabilities
Three ways HudlHealth reduces site work.
Screen smarter
Check patient information criterion-by-criterion against study eligibility requirements, with evidence and human review.
Follow up automatically
Turn protocol-defined follow-ups into email, SMS or voice workflows with reminders and escalation.
Make the protocol usable
Convert complex study documentation into cited answers, training, forms, tasks and role-specific workflows.
Less time and mental load for research teams. Lower cost for sponsors.
Social proof
Built around what clinical research teams actually need.
“We get pitched a lot of tools we don't actually need. Our biggest need is for sites to recruit into our studies, so we can do the job we are supposed to do.”
Senior Scientific Partnerships Lead, Major Global Pharma
“We are still at stone age.”
Clinical Trial Unit Director, Leading Clinical Research Centre
“This would be an amazing tool - anyone would like to have something like this.”
Site Principal Investigator, Germany
Fits your workflow
An execution layer, not another disconnected portal.
HudlHealth is designed to fill the gaps between protocol, site and sponsor while working alongside the systems research teams already use.
Integrate where useful. Replace redundant manual work where possible.
Vision
Clinical research is becoming AI-native.
Any site can run top-tier clinical research, even without a dedicated trial unit.
Built first for clinical research. Designed for the AI-native future of regulated healthcare workflows.
Have a study that sites need to run better?
Tell us what you are trying to solve. We will show you how HudlHealth could fit into your study workflow.