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Banting Health AI

Banting Health AI provides protocol intelligence software that transforms clinical trial protocols into structured data and automates the creation of IRB/REB submissions, informed consent forms, budgets, and checklists. The platform scores trial complexity and site burden to help research sites accelerate startup, reduce administrative overload, and lower compliance risk, with outputs customizable to each site's SOPs and human-reviewed for audit-ready accuracy.

Traction 10/10
Toronto, Canada · HQ
Founded 202495K+ followers
  • Healthcare Technology
  • Artificial Intelligence
  • Regulatory & Compliance Technology
  • Software Only
Updated 10 days ago

Funding

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Clinical trial sites are buried in paperwork, approvals, and redrafts. Protocols are long, complex, and rarely written with site realities in mind, leading to weeks lost drafting IRB/REB packets, budgets, and checklists, coordinators stuck in endless forms instead of helping patients, and up to 30% of audit findings tracing back to startup and documentation errors.

Solution

Banting Health AI provides protocol intelligence software that turns any protocol into structured data and automates the workflows sites struggle with most. The platform parses protocols (Word or PDF) into structured data covering eligibility, schedule of events, interventions, and requirements, then generates draft-ready IRB/REB submissions, informed consent forms, budgets, logs, and checklists to the site's own templates. It also provides objective scoring that surfaces trial complexity, site burden, and risk, along with defendable feasibility assessments to guide trial selection. All outputs are configurable to SOPs, human-reviewed, and audit-ready, with version control and instant exports.

Target Audience

Primary customers are clinical research sites and academic medical centers (AMCs) that need to accelerate trial startup, reduce administrative burden, and lower compliance risk, as well as provinces, networks, and sponsors seeking to expand access to research.

Features

  • Protocol parsing engine that converts Word or PDF protocols into structured data covering eligibility, schedule of events, interventions, and requirements
  • Automated generation of IRB/REB submissions, informed consent forms, budgets, logs, and checklists customized to site templates
  • Objective trial complexity and site burden scoring to surface risk and guide feasibility assessments
  • Human-verified accuracy with confidence flags and a review loop
  • Version control and instant exports for audit-ready documentation
  • Built-in security with PHI minimization, encryption, and access control
This profile is AI-generated and may contain inaccuracies.