Anju Software Introduces Luminee AI Engine for Rapid EDC Database Builds

December 01, 2025
Anju Software has launched Luminee, an AI-powered engine that automates the creation of validated EDC databases, reducing clinical study build times from months to days.

Anju Software has launched Luminee, an AI-powered engine that automates the creation of electronic data capture (EDC) databases, announced in a press release. The system can generate validated, inspection-ready databases in days by reading and interpreting clinical study protocols.

Luminee builds visit structures, forms, edit checks, and validation documentation automatically, addressing a process that typically takes months. The engine reduces technical resource dependency and produces automated validation documentation aligned with regulatory standards including 21 CFR Part 11, GCP, HIPAA, and GDPR.

The platform integrates with Anju’s eClinical ecosystem, including TrialMaster and TrialBuilder, and is available through Anju Clinical. Luminee was recognized with the SCOPE EU 2025 Innovation Award for its contribution to accelerating clinical operations and database development.

We hope you enjoyed this article.

Consider subscribing to one of our newsletters like Life AI Weekly or Daily AI Brief.

Also, consider following us on social media:

Healthcare & Life Sciences AI AI Brief AI Brief (X)

More from: Life Sciences

12/01
Rad AI Introduces Next-Generation Speech Recognition for Radiology Reporting
12/01
MediView Gains CE Mark for Augmented Reality Healthcare Platform in Europe
12/01
ScreenPoint Medical Highlights Transpara Breast AI at RSNA 2025
12/01
InsiteOne Expands Imaging Capabilities with ASCEND and Apollo Partnerships
12/01
Hedia Appoints Rasmus Kofoed as New CEO

Subscribe to Life AI Weekly

Weekly coverage of AI applications in healthcare, drug development, biotechnology research, and genomics breakthroughs.

AI Token Webinar

Market report

AI’s Time-to-Market Quagmire: Why Enterprises Struggle to Scale AI Innovation

ModelOp

The 2025 AI Governance Benchmark Report by ModelOp provides insights from 100 senior AI and data leaders across various industries, highlighting the challenges enterprises face in scaling AI initiatives. The report emphasizes the importance of AI governance and automation in overcoming fragmented systems and inconsistent practices, showcasing how early adoption correlates with faster deployment and stronger ROI.

Read more

You May Also Like