About us
Decision systems for a world that will not sit still.
Endogenius™ exists to become the reference for autonomous decision-making in uncertain and non-stationary environments — places where rules shift, data drifts, and a wrong call has a real cost.
Vision
Number one where certainty is the exception.
Most software assumes yesterday’s pattern will hold tomorrow. Operators know that is not true — in clinics, markets, networks, and the field. Our vision is simple: systems that keep deciding well when conditions change, that know when to be cautious, and that partners can put in front of their own clients with confidence.
Mission
The professional partner for adaptive, auditable decision systems.
Our mission is to become the most professional partner for adapting our patent framework and product suites to each partner’s needs and operating environment — not a one-size stack dropped into their stack.
Every deployment carries an auditable AI trace: a clear record of what the system sensed, how it weighed uncertainty, and why it recommended an action. That is the opposite of a black box — so partners can defend decisions, meet oversight expectations, and move toward compliance with evidence, not faith.
Origins
Where the project began.
Endogenius™ grew from long study of how minds — biological and artificial — reduce uncertainty and act under change. That inquiry is set out in founder Serge Van Themsche’s books on sergevanthemsche.com.
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What’s on their mind? Biological and Artificial Intelligence
The intellectual origin of this project. It compares analogic (biological) and artificial intelligence, and engages Karl Friston’s free-energy principle and the Bayesian mind — how brains and machines can update beliefs, weigh surprise, and decide when the world will not sit still. Those ideas still shape how we design auditable decision loops.
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The Advent of Unmanned Electric Vehicles: The Choices between E-mobility and Immobility
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ChatGPT n’est pas encore intelligent — an updated French edition
How we think
Intelligence from within.
We do not ask the world to freeze so a model can look clever. We build decision loops that sense uncertainty, weigh action carefully, and stay auditable — so institutions can defend the call, not only celebrate a chart.
The same philosophy travels across our domains. The data and products change; the demand for trustworthy decisions does not.