ZERO REQUIEM RESEARCH

SCIENCE MEETS AI

THE GOAL

Necessity breeds innovation. The drive to truly understand Reality is the foundation of everything Zero Requiem Research represents.

Zero Requiem Research lives at the intersection of Theoretical Mathematics, Theoretical Physics, Biology, Chemistry, and Artificial Intelligence.

Developing a proprietary mathematical framework for AI known as Geometric Algebraic AI (GAA). Its purpose is to describe, predict, and ultimately create intelligent behavior in complex systems, from cells to societies to machines. Rather than relying solely on the statistical machinery of current machine learning models, GAA seeks to transcend purely data driven approaches by enabling true system level simulation. In doing so, it aims to become a powerful scientific instrument, advancing both AI and fundamental research.

Through this framework, Zero Requiem Research strives to elevate and accelerate research across disciplines, pushing boundaries to the next level.

Together, let's build the future of Intelligence

Zero Requiem Research represents relentless passion, passion for what this emerging technology can become. Join Zero Requiem Research, and together we will push this far beyond the limits of our current imagination

The next paradigm will not be incremental. It will be built!.

Geometric Algebraic AI (GAA)

Selective research partnerships and strategic investment are welcome in the continued development and institutional validation of Geometric Algebraic AI prior to its public release.

The aim is to establish a new mathematical paradigm for artificial intelligence , one capable of modeling and simulating complex systems rather than merely approximating them statistically.

Research and Strategic Collaboration

Zero Requiem Research pursues institutional grade, mathematically rigorous collaborations at the intersection of Artificial Intelligence, complex systems science, and quantitative modeling. I work with universities, research institutes, advanced technology companies, and deep-tech startups seeking to develop foundational systems not incremental applications. The objective is clear, to construct intelligence frameworks that are theoretically grounded, computationally robust, and deployable at scale.

Collaborations may result in joint publications, research grants, prototype systems, or long-term institutional programs. I am particularly interested in ventures building defensible, infrastructure level AI technologies rather than surface layer applications. Equity based collaboration and long term technical advisory roles are considered where strategic alignment exists.

Consulting and Advisory

I advise organizations operating at the frontier of Artificial Intelligence, complex systems, and quantitative science. My work goes beyond surface-level AI integration. I design and evaluate architectures intended not merely to process data, but to model, simulate, and reason about complex systems.

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