Enterprise experience
Healthcare data and AI leadership
Data science leadership and enterprise AI, analytics, data, and workflow experience in regulated healthcare, including roles at Abbott and Apricity Health.
About GNS-AI
Who builds and runs GNS-AI.
GNS-AI helps regulated organizations prioritize, design, build, prove, and scale AI in real workflows, with Decision Control when AI shapes consequential actions.
GNS-AI
Dr. Amit K. Shah, Ph.D.Founder & CEO
Founder
Dr. Amit K. Shah, Ph.D.
Founder and CEO of GNS-AI. Creator of the Decision Control Plane™.
Background
Plain facts by category.
Enterprise, clinical, builder, research, and public work.
Clinical / biomedical
Ph.D. Biomedical Engineering
Ph.D. in biomedical engineering, with research on neuromotor control and systems under uncertainty. Clinical and biomedical AI experience in regulated settings.
Prior-employer
Abbott Diagnostics ~$1.8M ARR
Prior-employer work: at Abbott Diagnostics, Dr. Amit Shah built an automated laboratory benchmarking product associated with approximately $1.8M in recurring revenue.
Research / IP
Decision Control Plane™
Proprietary Decision Control methods and software. GNS-AI has filed Decision Control Plane™ patent applications covering those methods.
The work is motivated by a recurring production problem across regulated AI: the same system can encounter cases with very different evidence, circumstances, consequences, and need for human judgment.
Technology ecosystem
Data virtualization partnership
Denodo is a verified technology partnership for data virtualization and semantic access when data readiness is the constraint.
Public work
Research, Talks & Media
Selected talks, interviews, and forums with data, operations, and healthcare leaders. Research, Talks & Media · Speaking topics.
Evidence
Evidence and operating experience
What we publish as evidence comes from verified operating experience, public research and talks, and clearly labeled prior-employer work. We do not invent customer deployments or ROI percentages on this site.
Operating experience
Healthcare data science leadership and AI systems built in real operating environments.
Working demonstrations
Prototype and synthetic Decision Control demonstrations can show how handling changes as operating conditions change without exposing internal control logic.
Measured outcomes
Customer outcome claims are published only when there is actual engagement evidence to support them.
Have an AI initiative that needs a clear next step?
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