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Learning Is Not Optimization. It's Self-Organization. This is a new class of learning.
If our AI was human it would be editing its own genes
Our system doesn't just learn from data. It rewrites its own architecture. It evolves its own structure. It transcends its initial design.
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Our Breakthrough
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This changes what AI systems can do. Models that know when to stop growing.
Systems that don't need architecture search. Learning that is interpretable by construction.
Intelligence that manages its own complexity. Training governed by internal resource dynamics.
Learning that is interpretable by construction. No black boxes.
Patterns that emerge from constraints, not from design.
This is not an improvement. This is a different regime of learning.
The Minds Behind Colimits
CTO. ML Researcher. Multi-cloud infrastructure architect. Generative AI & neural network specialist.
PhD Bayesian Statistics from Duke. Ex-Credit Suisse & Morgan Stanley quant. Consultant to ECB, Eurostat & IDB. Associate Professor.
PhD candidate Mathematics (Actuarial Science) at UIUC. MSc Mathematics & Applied Statistics. Systemic Risk Consultant at IDB. CFA ESG certified.
CEO & Co-Founder of Money Vessel (fintech). Cannes-premiered film producer. Ex-BLT Communications (Warner Bros, Universal, Paramount).
PhD Statistics from Duke. Department Chair at URI. Post-doc UNC & Emory. Research funded by NASA, NIH, USDA. Bayesian methods expert.
PhD Statistics & MA Economics from Duke. CFA, FRM. Fulbright Scholar. Ex-Tudor Capital & Idalion Capital Co-Founder. 15+ years quant trading.
Human Organizational Scientist. Master from Tulane. MIT Sloan certified. 15+ years organizational development in multinationals across LatAm & Europe.
Supply chain specialist. PhD Tsing Hua University. 20+ years in analytics & ML. Ex-Professor at Tecnológico de Monterrey.
PhD Statistics candidate at URI. Ex-EPAM (Copa Airlines, Google, Amazon clients). Distributed systems & DevSecOps. Stealth founder.
Research Engineer. Applied machine learning & infrastructure optimization. SecOps Specalist.
"We don't scale models. We let them find their own shape.
Intelligence emerges when you stop forcing it."
The next paradigm isn't more parameters. It's smarter constraints.
Grounded in topology, category theory, and thermodynamics.
Who We Are
We're building the primitives that power the next generation of AI systems.
Who We Are
We're building the primitives that power the next generation of AI systems.
Mathematical foundations that can't be replicated by scaling alone.
Novel algorithms. Defensible science. Published and protected.
Models that know when to stop growing
Systems that don't need architecture search
Learning interpretable by construction
Explore our research on self-organizing AI systems.
Understanding why learning is self-organization, not optimization.
Connect with our research team to learn more.