BRUSSELS; RALEIGH, N.C.; July. 16, 2026 – IDDI today announced it has joined the Veeva CRO Partner Program, further expanding its eClinical technology ecosystem to support sponsors running clinical trials of all sizes and complexities.
As a leading provider of biometrics services, including biostatistics, data management, RTSM, and strategic consulting, IDDI is committed to helping sponsors select the technologies that best fit their protocol requirements and operational needs. Through this partnership, IDDI will expand the range of eClinical solutions available to its customers by adding Veeva Clinical Data applications, including Veeva EDC, Veeva DQS, Veeva eCOA, and Veeva RTSM.
By combining scientific expertise with advanced technology solutions, IDDI helps sponsors build efficient, scalable clinical trial strategies that support high-quality data collection, streamlined study execution, and successful clinical outcomes.
“Sponsors need the flexibility to build clinical technology ecosystems that support their unique study requirements,” said Tara Kervin, Chief Operating Officer at IDDI. “By joining the Veeva CRO Partner Program, we are expanding our eClinical technology portfolio with Veeva’s EDC, DQS, eCOA, and RTSM solutions. Together, we can better align technology with protocol design, giving sponsors greater choice while helping them execute studies more efficiently and confidently.”
The partnership reflects a shared commitment to providing life sciences organizations with modern, connected solutions that support efficient trial execution and enable teams to manage increasingly complex studies with confidence.
About IDDI
IDDI is a trusted clinical data science partner. With 35+ years of research-driven experience, we combine therapeutic expertise, biostatistical leadership, and regulatory insight to mitigate risk from design to registration and beyond. We deliver uncompromising excellence in biostatistics, strategic consulting, clinical data management, IDMCs, and supporting eClinical technologies, because when every data point represents a patient, perfection is the only option.
