New Veeva Study Builder Agent to Configure Clinical Studies in as Little as One Day

The planned EDC component will require no additional license, though early adopter availability is not expected until December 2026.

Rhea-AI Summary

Veeva Systems (VEEV) announced Study Builder Agent on September 24, 2026, to configure clinical-study data systems from study protocols.

The AI agent is designed to set up forms, visits and edit-check rules in Veeva EDC, along with CQL-based listings in Veeva DQS (Data Quality System). It also automates testing, including the generation of test data. The agent uses an organization's existing standards and the CDISC Unified Study Definitions Model to guide the build. Veeva says it can configure studies in as little as one day and produce builds that minimize departures from those standards.

Early adopter availability is planned for December 2026. Study Builder Agent will be part of EDC and will require no additional license.

Key Figures

Configuration time: As little as one day Early-adopter availability: December 2026

Configuration time

As little as one day

Study Builder Agent claim in the headline

Early-adopter availability

December 2026

Planned availability

Previous Clinical trial Reports

1 past event · Latest: Jun 11

Same Type 1 event

1. Jun 11

   clinical platform

   24h Move

   +1.6%

   MedTech customers reported 50% faster study builds with Veeva EDC.

24h Move is the share-price change in the day after each event; other market factors may also have contributed.

Key Terms

edc, cdisc unified study definitions model (usdm)

2 terms

edc technical

"Veeva EDC and Veeva DQS (Data Quality System) directly from a study protocol"

An electronic data capture (EDC) system is software used to collect, store and manage clinical trial information digitally instead of on paper. Think of it as a secure online form and filing cabinet that organizes patient visits, test results and compliance records; faster, cleaner data helps sponsors spot problems sooner, shorten development timelines and reduce regulatory risk. Investors track EDC quality because it can speed trials, cut costs and affect the credibility of trial results.

cdisc unified study definitions model (usdm) technical

"leveraging the CDISC Unified Study Definitions Model (USDM)"

A CDISC Unified Study Definitions Model (USDM) is a formal, machine-readable set of rules and definitions that standardizes how clinical-trial elements (like subjects, visits, assessments and variables) are described and linked across study datasets and metadata. It matters to investors because USDM helps sponsors and regulators exchange, map and validate trial data more quickly and consistently—like using a common blueprint for parts—reducing data errors, review delays and regulatory risk during filings.

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Standards-first agent delivers faster and more consistent EDC and DQS builds

PLEASANTON, Calif., Sept. 24, 2026 /PRNewswire/ -- Veeva Systems (NYSE: VEEV) today announced Veeva Study Builder Agent, a new AI solution that configures Veeva EDC and Veeva DQS (Data Quality System) directly from a study protocol. By reusing an organization's existing standards and leveraging the CDISC Unified Study Definitions Model (USDM), the agent ensures faster, more deterministic study builds.

Study Builder Agent configures EDC forms, visits, and edit check rules, as well as CQL-based listings in DQS. It also automates testing, including the generation of test data. Because the agent builds from the organization's existing standards and follows a coordinated process, the results minimize deviation from standards and are audit-ready by design.

"Veeva Study Builder Agent will make it much faster to build high-quality studies," said Drew Garty, chief technology officer, Veeva Clinical Data. "We're committed to innovations that simplify, standardize, and connect clinical trials, and Study Builder Agent is a significant step toward achieving that vision."

Planned for early adopter availability in December 2026, Veeva Study Builder Agent is part of EDC and requires no additional license. It is delivered as a Claude Cowork plugin and installed from a Veeva-managed GitHub repository. Learn more about Veeva Clinical Data solutions, including EDC, DQS, and eCOA, at Veeva R&D and Quality Summit in Boston October 20-21. The event is open exclusively to life sciences industry professionals.

About Veeva Systems
Veeva delivers the industry cloud for life sciences with applications, agents, data, and consulting. Committed to innovation, product excellence, and customer success, Veeva serves more than 1,500 customers, ranging from the world's largest pharmaceutical companies to emerging biotechs. As a Public Benefit Corporation, Veeva is committed to balancing the interests of all stakeholders, including customers, employees, shareholders, and the industries it serves. For more information, visit veeva.com.

Veeva Forward-Looking Statements
This release contains forward-looking statements regarding Veeva's products and services and the expected results or benefits from use of our products and services. These statements are based on our current expectations. Actual results could differ materially from those provided in this release and we have no obligation to update such statements. There are numerous risks that have the potential to negatively impact our results, including the risks and uncertainties disclosed in our filing on Form 10-Q for the fiscal year ended July 31, 2026, which you can find here (a summary of risks which may impact our business can be found on pages 33 and 34), and in our subsequent SEC filings, which you can access at sec.gov.

Contact:

Deivis Mercado
Veeva Systems
925-226-8821
deivis.mercado@veeva.com

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SOURCE Veeva Systems

FAQ

AI-generated questions and answers. How Rhea-AI works. Not financial advice.

When will Veeva Study Builder Agent be available to early adopters?

Early adopter availability is planned for December 2026.

How will Veeva Study Builder Agent be installed?

Study Builder Agent will be delivered as a Claude Cowork plugin and installed from a Veeva-managed GitHub repository.