UniTriTeam Announces ProtocolWeave™, an AI-Powered Solution Transforming eSource Study Builds for Clinical Research

Private AI with human validation help clinical research teams streamline and standardize Source study builds

CARLSBAD, CA, UNITED STATES, May 18, 2026 /EINPresswire.com/ -- UniTriTeamtoday announced the upcoming launch ofProtocolWeave™, a new AI-powered solution designed to simplify and standardizesource study builds for clinical research sites. The platform is scheduled for full release on July 1, with a limited beta program now open for select sites, site networks, and CRO partners.

For most clinical research teams, study builds are still highly manual. Protocols need to be interpreted, translated, and structured—often differently from one team to the next. That variability creates rework, slows down study startup, and adds pressure to already stretched site staff.

ProtocolWeave™ was built to change that.

Developed and owned by UniTriTeam, with ELEKS serving as its development partner, the platform functions as an AI-powered protocol analysis engine. It ingests study protocols and supporting documents, pulls out clinically relevant data, and generates a structured eSource specification designed for downstream use in CTMS and eSource platforms.

The solution aligns with Unified Study Definitions Model (USDM) protocol standards, so the output is consistent and usable across different systems. To make sure it holds up in the real world, every output goes through a required human review before anything is used operationally—creating a clear layer of validation, accountability, and traceability.“UniTriTeam is proving that it’s possible to build a high-growth, global company without losing humanity.”

“ProtocolWeave™ was built with both of those realities in mind. We’re focused on helping teams move faster and more consistently, without asking them to compromise on how their data is protected.”

— Alexandra Gerritsen, CEO

ProtocolWeave™ has already been tested against real clinical trial protocols, and early results are encouraging—less manual lift, more consistency, and a clearer path to scaling study startup. Based on internal modeling, there is strong potential to significantly reduce eSource build timelines, with further validation underway through the beta program.

Read the full press release here: