Team – MindClon

The people building computational judgment.

MindClon brings together expertise spanning neuroscience, medicine, artificial intelligence, cognitive science, engineering, and institutional decision-making to build the infrastructure that governs how humans and AI make consequential decisions.

Who we are

MindClon was founded by a neurologist and cognitive scientist who spent years watching excellent clinical judgment go undocumented, unlearned from, and unreproducible. We are a team of researchers, engineers, and domain specialists brought together by a shared conviction: that the most important thing AI can do in high-stakes environments is not replace human judgment, but make it legible enough to be trusted.

Leadership

Govind Chavada

Founder & CEO

Govind Chavada is a neurologist, cognitive neuroscientist, and founder of MindClon. His work sits at the intersection of neuroscience, cognition, artificial intelligence, and high-stakes decision-making.

He developed the concept of the brain as a biological chemical computer, forming the scientific foundation for MindClon’s computational judgment architecture.

As CEO, he leads the development of the Information 3.0 standard—building the governance infrastructure, execution boundaries, and computational judgment systems required for autonomous AI to operate safely, transparently, and accountably in environments where decisions have real-world consequences.

Elkhalil M. Binebine

Chairman & Co-Founder

ElKhalil Binebine is Co-Founder of MindClon and brings experience spanning medicine, venture capital, and global investment.

A Sorbonne-trained physician, he has held senior leadership roles across healthcare and finance, including as Co-Founder and Vice Chairman of Vickers Venture Partners.

At MindClon, he leads strategic partnerships, capital formation, and long-term institutional growth. His experience as an elite endurance athlete, with more than twenty-five Ironman completions, reflects the discipline and long-range thinking required to build enduring institutions.

Built on interdisciplinary expertise.

Computational judgment cannot be built from artificial intelligence alone.

It requires understanding how humans perceive evidence, form reasoning, make decisions under uncertainty, and transfer expertise across generations.

MindClon’s work combines neuroscience, cognitive science, software engineering, governance, medicine, and AI to build infrastructure that preserves human judgment instead of replacing it.

Building for the long term.

Computational judgment is not a feature.

It is foundational infrastructure for the next generation of human and artificial intelligence.

We’re building the systems that allow organizations to preserve expertise, govern autonomous AI, and continuously improve institutional decision-making over decades, not product cycles.