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.
~$40K / day
Direct operating cost associated with Phase II/III clinical-trial delay.
Source — to be referenced
7h+
Coordinator time per enrolled patient across manual research activities.
Source — to be referenced
30+ interviews
Investigators, coordinators, sponsors and CROs pointed us to the same bottleneck: under-resourced sites performing repetitive manual work.
HudlHealth discovery research
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 Hudl 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.
Social proof
Built around what clinical research teams actually need.
“We get pitched a lot of tools we don't actually need. What we need is for sites to recruit into our studies.”
Clinical Research Leader — Global Sponsor
“We are still at stone age.”
Clinical Trial Unit Director — Leading Research Centre
[Insert validated coordinator quote about repetitive work or screening burden.]
Clinical Research Coordinator
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.
Today, HudlHealth turns trial documentation into purpose-built clinical research agents. Tomorrow, researchers will increasingly build their own AI agents and applications. HudlHealth is being designed as the secure workflow and deployment layer that makes those agents usable inside real clinical research.
Anyone can build an AI agent. HudlHealth makes it usable in clinical research.
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.