Dr. Kaustubh Beedkar

CTO & co-founder

Kaustubhs' current research focuses on incorporating regulatory body constraints regarding data sovereignty and data movement.

Decentralized Data Processing: The Foundation of Private AI and Decision Fabric

Centralized data lakes create bottlenecks, compliance risks, and single points of failure. Decentralized data processing distributes computation across sources—enabling real-time analytics on data that can't be moved while reducing infrastructure costs by 35-50%.

Author:
Dr. Kaustubh Beedkar

Regulation Compliant AI: Federated Processing for GDPR/HIPAA

Regulatory compliance increasingly requires data localization and minimal data movement. Federated processing keeps data in jurisdiction while enabling cross-border analytics and AI—achieving compliance by architecture rather than policy for GDPR, HIPAA, DORA, and the EU AI Act.

Author:
Dr. Kaustubh Beedkar
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