About

Why We Built MindPeer

Mind-Alliance Systems was founded on a single observation: the gap between available intelligence and good decisions is rarely a data problem. It is a process problem.

Working over decades at the intersection of national security and corporate strategy — advising the U.S. Department of Defense, contributing to NATO research teams, and supporting senior leaders navigating high-stakes decisions — our founder watched the same failure repeat itself. Analysts had access to information. Leaders had urgent decisions to make. And yet the intelligence that reached the decision-maker was too often generic, untraceable, and silent about what they didn't know.

The problem wasn't effort. It was architecture.

What We Set Out to Fix

Professional intelligence production has a methodology — one developed over decades in the most demanding decision environments. It begins with elicitation, not research. It evaluates sources before it trusts them. It separates facts from judgments. It makes uncertainty explicit rather than burying it in confident-sounding prose.

That methodology rarely makes it into corporate or government workflows. Analysts default to blank prompts and generic templates. AI tools accelerate the production of outputs that look thorough but aren't. And leaders make decisions on intelligence products that can't answer the most important question: How much should I trust this?

MindPeer was built to close that gap — embedding professional intelligence tradecraft into a structured workflow that any analyst can follow and any leader can rely on.

Why Now

The arrival of powerful AI tools has made the problem more urgent, not less. Speed without structure produces confident-sounding summaries with no source evaluation, no confidence ratings, and no visibility into what's missing. Organizations that mistake AI-generated information for intelligence are making faster decisions on a weaker foundation.


MindPeer is not a faster way to produce the same flawed outputs. It is a different approach — one that uses AI to enforce rigor, not bypass it.

blue and black ball on blue and white checkered textile
white smoke trail in the sky

Why Now

The arrival of powerful AI tools has made the problem more urgent, not less. Speed without structure produces confident-sounding summaries with no source evaluation, no confidence ratings, and no visibility into what's missing. Organizations that mistake AI-generated information for intelligence are making faster decisions on a weaker foundation.


MindPeer is not a faster way to produce the same flawed outputs. It is a different approach — one that uses AI to enforce rigor, not bypass it.

blue and black ball on blue and white checkered textile
white smoke trail in the sky

Why Now

The arrival of powerful AI tools has made the problem more urgent, not less. Speed without structure produces confident-sounding summaries with no source evaluation, no confidence ratings, and no visibility into what's missing. Organizations that mistake AI-generated information for intelligence are making faster decisions on a weaker foundation.


MindPeer is not a faster way to produce the same flawed outputs. It is a different approach — one that uses AI to enforce rigor, not bypass it.

blue and black ball on blue and white checkered textile
white smoke trail in the sky

The Founder

Mind-Alliance Systems was founded by David Kamien, a national security strategist and AI architect with more than 25 years bridging high-stakes decision environments — from U.S. Department of Defense advisory roles and NATO research teams to corporate boardrooms navigating geopolitical disruption.

The Founder

Mind-Alliance Systems was founded by David Kamien, a national security strategist and AI architect with more than 25 years bridging high-stakes decision environments — from U.S. Department of Defense advisory roles and NATO research teams to corporate boardrooms navigating geopolitical disruption.

The Founder

Mind-Alliance Systems was founded by David Kamien, a national security strategist and AI architect with more than 25 years bridging high-stakes decision environments — from U.S. Department of Defense advisory roles and NATO research teams to corporate boardrooms navigating geopolitical disruption.

Senior Team & Advisors

Chuck Georgo

Senior Knowledge Management

Architect

Architected NATO SHAPE crisis KM system

Led $26M+ KM programs across U.S. defense & law enforcement sectors

U.S. Navy (Ret. E-9); certified in KM, DODAF/NAF frameworks

Dr. Greg Treverton

Senior Intelligence Advisor

Former Chair, U.S. National Intelligence Council; NIEs lead author

Former RAND Director; professor at USC, Harvard, and Columbia

20+ years of transatlantic work

Dr. Sheila Ronis

Senior Foresight Advisor

Expert in complex systems thinking, foresight & anticipatory governance for defense policy

Led Vision Working Group for Project on National Security Reform

Chair Emeritus, National Defense University Foundation

Evan Schnidman, PhD

NLP and ALT Data Expert

Founder of Prattle, sold to Liquidnet

Expert in alternative data and NLP

Internal Team

Thanasis Kostikas

Lead Software Engineer

Harsh Ramchandani

Lead Product Designer

Artemis Kofsanidis

Senior Business Analyst

Gahna Ramchandani

Marketing Analyst

Aditya Upadhyay

Junior Backend Engineer

Our Mission

To give every analyst the methodology of a seasoned intelligence professional — and every leader the confidence to act on what they know.

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