About TokenWake
An implementation of the Dynamic Complexity Framework.
The Dynamic Complexity Framework is Tier Zero's patent-pending engine. It derives how a complex system will behave from its structure rather than from its history — which is why it can answer questions about a system that has never run.
The framework is Patrick Barletta's work. TokenWake is the product built on it, and it is what happened when the engine was pointed at AI cost. Every other thing it does is at tierzerosolutions.io.
The founders
Who builds it.
Founder & System Architect
Patrick Barletta
Patrick doesn't build conventional software — he models chaos. His foundation is elite competitive optimization rather than standard computer science: he holds a world record in Factorio's notoriously punishing Pyanodons Alternative Energy, controlling an exponentially expanding, violently unstable network faster than anyone on earth has managed it. An agentic AI workflow is the same problem. He carried that into quantitative research, had it producing live alpha inside a year, and built everything TokenWake rests on.
Co-Founder & Strategic Operations Director
Regina Toffolo
Regina brings 28 years in decision infrastructure — 23 of them at PNC Bank, supporting credit-decisioning systems at institutional scale, and five before that as a business systems analyst at Integic, building financial systems for the Navy. The work: translating advanced mathematics into compliance-ready, regulation-aligned solutions — the bridge between what the method proves and what an enterprise governance team can sign off on.
Business contact — rtoffolo@tierzerosolutions.io
Why we built it
Why did we point the Dynamic Complexity Framework at tokens?
Somebody asked us to.
The engine came first, busy elsewhere. Then somebody who had watched it work asked whether the same math could price an AI workflow before it was built. It could — because AI spend looks like a forecasting problem and is actually a structural one. What drives it isn't last quarter's usage, it is the shape of the work. TokenWake became the flagship because that question turns out to be everywhere.
How we know it works
Our predictive evidence.
Independently scored.
Forecasting the S&P 500 and forecasting AI cost are the same problem — predicting performance of a complex system. Our engine does both.
Alpha is what predictions add beyond the market — a rising line is a market being beaten, round after round. Redrawn from Numerai's own chart, 3 August 2026.
This
is the same test TokenWake sets itself:
predict performance in advance.
On the record
- Two patents pending
- NVIDIA Inception Program
- 17 benchmarks validated
- Five operational domains
Benchmarks are validated for the Dynamic Complexity Framework — the same engine, unmodified, across chaos forecasting, computational fluid dynamics, large-scale simulation and equities. Each one is itemized at tierzerosolutions.io.
Or write to us directly. Business inquiries: Regina Toffolo, Co-Founder & Strategic Operations Director — rtoffolo@tierzerosolutions.io.
General: contact@tierzerosolutions.io · www.tierzerosolutions.io