Empowering Life-Science Organizations Through Data and AI

Build and optimize secure, compliant data ecosystems for decentralized and hybrid trials.

• Design modern data-lake and governance frameworks aligned with CDISC / SDTM / ADaM standards.
   
• Integrate EDC, CTMS, and LIMS systems with unified cloud architectures.
   
• Enable automated lineage and traceability from source to submission.

Harness artificial intelligence to improve participant engagement and operational efficiency.

• Apply machine learning for recruitment prediction, retention optimization, and anomaly detection.
   
• Use natural-language processing (NLP) to extract insights from consent and AE narratives.
   
• Develop dashboards and real-time study-performance visualizations.

Automate routine quality and compliance workflows to reduce risk and improve audit readiness.

• Continuous monitoring for HIPAA, GDPR, and FDA 21 CFR Part 11 compliance.

• AI-driven checks for investigator debarment, credential expiration, and subject privacy.

• Digital QMS modernization and validation documentation support.