Anju Software Introduces Luminee AI Engine for Rapid EDC Database Builds
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:
More from Life Sciences
Sep 20 IDC Names ZS a Leader in Life Sciences Evidence Services Sep 20 Brainomix Selected for UK Future Fifty Programme Sep 19 Rutgers and RWJBarnabas Health Launch AWS Health Innovation Hub Sep 19 Vetology Rebuilds 94 Veterinary Radiology AI Classifiers Sep 19 NAVER D2SF Backs ImpriMed in $10 Million Bridge RoundLife AI Weekly
Weekly coverage of AI applications in healthcare, drug development, biotechnology research, and genomics breakthroughs.
Industry analysis
2025 Global Business Services Agenda: Gen AI Takes Center Stage
This industry analysis by The Hackett Group explores the transformative impact of generative artificial intelligence (Gen AI) on global business services (GBS) in 2025. The study highlights the shift from exploration to acceleration of Gen AI initiatives, with 89% of executives advancing these projects to improve customer satisfaction, innovate products, and reduce costs. The report also discusses the challenges and strategies for successful Gen AI adoption, emphasizing the need for a technology-enabled operating model and the importance of reskilling the workforce.
Read moreYou may also like
DeepCura Unveils Electronic Health Workforce for Clinical Operations
Luminary Platforms Raises $22 Million for Wealth Transfer Platform
EnterpriseDB Details EDB Postgres AI Customer Deployments
ARPA-H Awards UpDoc Up to $9.2 Million for Clinical AI
Atman Health Wins ARPA-H Award to Build Heart Failure AI
Daily AI Brief: the AI news that matters, in your inbox.