Braid
AI-powered operational intelligence for clinical trial design, planning, and conduct—extracting actionable insights from trial data across the entire lifecycle.
Overview
Braid™ is Advarra's purpose-built data and AI platform designed to transform fragmented, unstructured clinical trial data into actionable operational intelligence. Powered by the industry's largest trial operations dataset — drawn from Advarra's IRB and clinical trial systems — Braid enables smarter trial design, faster decision-making, and streamlined execution across the entire clinical trial lifecycle. It is built to serve sponsors, CROs, and sites alike, meeting study teams wherever they are in their AI journey.
For years, operational data has remained trapped in static protocol documents and fragmented eClinical systems, too unstructured to access, analyze, or scale at meaningful levels. Braid unlocks this data by extracting, structuring, and validating it — covering cycle times for startup milestones, enrollment trends, study modifications, and more — and integrating it with standard medical ontologies to ensure interoperability across systems and alignment with regulatory standards.
Core Data Foundation
- Powered by over 170,000 protocol-related documents and operational data from more than 30,000 studies and 3,500 sponsors
- Draws on Advarra's IRB and clinical trial systems to provide the most structured, real-world view of how clinical trials are actually run
- Captures modifications and operational signals across the entire trial lifecycle — not just a single point in time — to generate rich, longitudinal intelligence
- Curates and integrates data with standard medical ontologies for seamless interoperability and regulatory alignment
Key Capabilities and Workflow Coverage
- Study Design & Planning: Leverages historical protocol and operational data to inform smarter, more efficient study design from the outset
- Site Selection & Feasibility: Delivers data-driven insights to support more accurate site identification and feasibility assessments
- Study Startup: Automates and accelerates startup workflows, reducing time-to-first-patient and administrative burden
- Ethical Review Workflows: Integrates intelligence into IRB and ethical review operations to streamline submissions and review processes
- Study Conduct: Provides ongoing operational insights and automation throughout active trial execution to support coordinated, efficient research
Intelligence Generation and Automation
- Extracts and structures operational data from documents and systems to generate actionable insights at scale
- Activates intelligent agents within Advarra's products and third-party systems to automate workflows and streamline operations
- Reduces site and patient burden by enabling faster, more coordinated research processes
- Powers smarter decision-making from study design through conduct by capturing the full arc of trial modifications and operational changes
What Sets Braid Apart
- Proven, trusted partner: Built on Advarra's 30+ years of IRB leadership and deep regulatory expertise, ensuring AI development grounded in scientific rigor and patient integrity
- Robust, differentiated data: Provides a uniquely structured, real-world operational view that only Advarra's position in the industry can offer
- Accessible by design: Offers flexibility through a secure clean room, in-app analytics, and professional services to meet teams at their current stage of AI adoption
- Privacy and confidentiality: Protects sensitive data through rigorous safeguards while ensuring it remains interoperable, usable, and ready for analysis
- Neutrality and ethical oversight: Maintains Advarra's foundational commitment to trust, neutrality, and ethical standards in all AI-driven operations
Braid is designed for flexibility and broad adoption across the clinical research ecosystem, supporting sponsors, CROs, and sites through secure deployment options including a clean room environment, in-app analytics, and professional services. Advarra also hosts an AI Council — a collaborative forum for life sciences leaders — to advance the safe, effective, and ethical use of AI in clinical trials, reflecting the company's broader commitment to responsible innovation in the industry.

