2 Patents Pending
NVIDIA Inception
Tier Zero Solutions
You cannot code infinite chaos.

So we didn’t. We built a physics engine instead.
One engine. Countless outcomes.

Point it at a decision and it becomes a decision engine.
Point it at air and it becomes a wind tunnel.
Point it at a market and it becomes a trader.
Point it at a world and it builds one.

And each one outperforms the industry-standard tool.

22 Benchmarks Validated
IBKR — Founder Capital Deployed
The DCF engine, a neural-network brain The Dynamic Complexity Framework™
Find out more
2 Patents Pending NVIDIA Inception 22 Benchmarks Validated
The Problem
Three symptoms. One cause.
Token Overhead

AI spend compounding faster than anyone modeled it — and no one can say which model belongs on which task.

Middleware Collapse

Layer bolted onto layer just to make systems talk — until the plumbing is the system.

Scripts That Break

No rule set covers infinity. Every edge case nobody anticipated is an outage, a loss, or a headline.

One cause: the architecture underneath was never built for complexity — and more rules can’t fix a problem caused by rules. Tier Zero skipped the rules and defined the physics instead.

The Solution
A new mathematical foundation.

The Dynamic Complexity Framework isn’t an app — it’s the foundation underneath one. Foundations like this are rare: they don’t hand you a better tool, they open a whole new class of them.

You don’t rebuild power for every appliance — a fridge, a factory, and a phone all draw from one source. The DCF is that source for complex systems: point it at a grid, a market, a workflow, a world — the same foundation underneath.

Radically Efficient
Continuous Memory
Cross-Trains, No Forgetting
Eliminates Failure-Point Scripting
Infinite Nesting, No Middleware
Deterministic & Auditable
The Receipts

Proof, not promises.

Every result below ran on a single residential computer.
NVIDIA Inception Program
2.4×
More accurate than the AI-research standard (GRU-64) — Mackey-Glass, the canonical chaos benchmark, 647 parameters.
300×
Faster to the Ahmed-body benchmark — F1 computational fluid dynamics, 102.7 seconds vs. 36+ hours on a multi-core cluster.
150 FPS
1M-cell emergent world — 14+ nested domains simulated together, from geology to agents to trade.
$82/mo
Competing alpha on Numerai Signals — against funds running server farms, on one home electric bill.
3 days
A new domain, configured — not built. TokenWake went from a cold challenge to a working forecaster in one weekend — on the same mature engine behind every number above. Nothing changed but the DomainSpec. Deployment is a configuration, not a twelve-month build.

“A fundamentally different mathematical foundation for intelligent system design.” — Independent IP Assessment  ·  Landfall IP  ·  2026

Operational Today

Six systems. One engine underneath.

Not six products — six configurations of the same engine. Nothing changes but the DomainSpec.
Twenty-two domains in all, every one validated against industry benchmarks — six operational today.

TokenWake
Forecasts AI spend before it lands — which model, for which work, at what real cost.
tokenwake.io ↗
ArcWake
Simulates the power grid — outage cascades, hosting capacity, siting — tens of thousands of futures in minutes.
27-yr validated
Everfall Spiral
Codes complex emergent systems from physics — emergent behavior, not scripted.
150 FPS · 1M cells
AI Governance
Identifies and responds to real-time evolution in unpredictable environments.
Real-time · pre-execution
Zero the AI
Predicts the next state of chaotic systems to drive high-confidence decisions.
Live alpha · $82/mo
F1 / CFD
Runs real physics to simulate outcomes — without the compute overhead.
300× faster
F1 aerodynamics — a CFD velocity field solved by the DCF engine
F1 / CFD — real airflow, 300× faster than the solver it was validated against
02 · Prescriptive
TokenWake — Precision Token Forecasting
One workflow description in.
Three answers back — from the same run, for one price.
1 What it will cost 2 Which configuration to run 3 Where it’s wasting money

TokenWake is our first productized domain — a new DomainSpec configured on the DCF engine in a single weekend, now live as its own product. It forecasts what an AI workflow will cost before it’s deployed, which configuration to run, and where it will waste money. The full breakdown — the sweeps, the receipts, the method — lives on its own site.

Explore TokenWake at tokenwake.io ↗
01
Generative

Creating complex, emergent realities from physics — behaviors emerge from the math, not from rules.

The Everfall Spiral

150 FPS
30,000 × 30,000 spherical world  ·  RTX 5090  ·  1M vertex cells

A self-sustaining civilization simulator governed entirely by physics — geology, weather, economics, and every agent decision from one framework. Behavior emerges from the math. Nobody has to anticipate it.

Deep-Time World Generation

Before a single agent spawns, the engine simulates millions of years of geological violence — tectonic subduction, meteor strikes, weathering — to physically carve the biomes, rivers, and deep-crust resource veins.

Emergent Economics

Settlements form pull-based supply chains, trade caravans, and comparative-advantage routes. Families of farmers and miners compound advantages across generations. None of it is scripted.

Absurd Architectural Scale

Weather, terrain, individual agents, and civilization-wide economics running simultaneously as nested DCFs. Thousands of agents. 150 FPS. One GPU.

Settlement Growth
Settlement Growth
Civilization Scale
Civilization Scale
Everfall Nested DCF Domains
  • Agent Decision Making
  • Demand Forecasting
  • Settlement Orchestration / City Building
  • Weather
  • Resource Production
  • Planetary Formation
  • Plate Tectonics
  • Orbital Dynamics
03
Adaptive

Monitoring and governing AI agent behavior in real-time — catching drift before it becomes failure.

AI Behavioral Governance

The “FICO score” for autonomous agents.

The same DCF engine that builds emergent worlds monitors every agent’s behavioral metadata in real-time — blocking catastrophic tool calls before execution. Plug-in architecture. No PII. No system interfaces required.

Tool Call Trajectory

Monitors what the agent intends to do, not just what it did. Catches adversarial curvature and injection attempts before execution.

Behavioral Drift Detection

Tracks deviation from established attractor baselines. Value corruption and goal misalignment signals surface before they become compliance events.

Native Circuit Breakers

Engage automatically at Restricted threshold — blocking execution before damage occurs. No human in the loop required for the initial stop. Four authorization levels, from observe-only to zero-drift-tolerance, configurable to your risk appetite.

S-Score
Single Agent Behavioral Health
Live

Real-time behavioral health score for individual agents. Monitors tool call trajectory, drift, value corruption, anomalous cooperation patterns, and adversarial curvature.

T-Score
Agent-to-Agent Trust
Live

Real-time trust score on every inbound A2A request before it is acted upon. As multi-agent networks proliferate, each agent evaluates the trustworthiness of requests it receives from other agents.

C-Score
Cohort Management
Next Phase

Monitors how behavior diverges from parent baseline across a fleet. Flags individual agents drifting outside acceptable range before systemic failure occurs.

0.80 – 1.00 — Trusted
0.60 – 0.79 — Provisional
0.40 – 0.59 — Monitored
0.20 – 0.39 — Restricted
0.00 – 0.19 — Quarantined / Circuit Breaker
04
Predictive

S&P 500 Market Trading  ·  Extracting predictive signal from chaotic, high-dimensional financial data without rule sets or retraining.

Zero the AI / S&P 500 Predictive Trading

30%
live S&P 500 return  ·  Jul 2025 – Feb 2026, full signal

Alpha is return above the market — the measure of pure predictive edge. It cannot be manufactured: no capital, compute, or headcount creates it. Either the model sees what the market doesn’t, or it doesn’t. Ours does. Our live trading runs on the full signal. Numerai independently confirmed it exists.

Numerai Signal Validation

Numerai is a global quantitative competition that aggressively neutralizes submitted signals — stripping out sector momentum and market-riding factors to isolate only genuine predictive value. On resolved rounds, our alpha tracks alongside institutional players with assets under management in the billions — on the same public leaderboard, same data, same rules. Our live trading uses the full, unneutralized signal.

30% Live Market Return

Jul 2025–Feb 2026. Eight months of live S&P 500 trading on the full signal. Running on IBKR since June 2026 with substantial founder capital deployed — real skin in the game, third-party verified metrics incoming.

Radically Efficient

Entire pipeline runs on a local home workstation at $82/month electric. Self-optimizing. Zero daily maintenance. We literally just check the dashboard.

30%
Live Market Return
Jul 2025 – Feb 2026, live portfolio
Numerai
Signals · Live
Blind adversarial tournament  ·  vs. funds on server farms
$82
Monthly Electric
Entire pipeline, home workstation
Jun '26
IBKR Deploy
Founder capital deployed live  ·  Third-party verified metrics incoming
Why markets?
The S&P operates on publicly available data and fat-tail events, severe regime changes, and irreversible live capital. If the math extracts a signal from this noise without breaking, it provides undeniable empirical proof that the DCF architecture works.
05
Simulative

Running full physics simulations at a fraction of the compute cost — on residential hardware.

F1 / Computational Fluid Dynamics

300×
102.7 sec vs. 36+ hours on a multi-core cluster  ·  single residential GPU

The Ahmed body aerodynamics benchmark completed in 102.7 seconds on a single residential GPU at 12M cells — against an industry multi-core cluster that runs 36+ hours. Proportionally 300× faster. No cluster. No cloud.

Simultaneous Resolution

Pressure, velocity, and vorticity computed in a single pass at the same time step — not sequential post-processing. Three fields. One computation.

Ahmed Body Benchmark

Drag coefficient 0.37 against a published range of 0.32–0.35; pressure coefficient 0.32 against 0.3. Close to the mark at a radically smaller compute — enough to sweep thousands of candidate designs and filter down to the few worth putting on a cluster.

Single GPU. No Cluster.

All output produced on one residential NVIDIA GPU, with 99% fewer parameters at near-peak tensor-core utilization. Domain configured and first validated results produced in under one week from a standing start.

Vorticity Magnitude Field
Vorticity Magnitude
Organized wake structure, rotational fidelity
Velocity Field
Velocity Field
Separation bubble & shear layer rollup
Pressure Field
Pressure Field
Stagnation point at leading edge
The License  ·  License the Engine

End the Build vs. Buy Debate.

You don’t rebuild the brain from scratch. You don’t buy a black box. You license the mathematical engine — and we deploy it in your domain.

The Old Dilemma
Build custom architecture or accept a vendor’s black box.
  • 12–24 months to build custom architecture
  • Dedicated ML engineering team required
  • New architecture for every new domain
  • Black box outcomes — compliance nightmare
  • Retraining destroys prior knowledge
The DCF Way
Buy the brain. Deploy your DomainSpec — the configuration layer that maps your environment to the DCF engine. Start delivering.
  • Configured and computing in 1 Agile Sprint
  • Auditable, immutable scoring — no black box
  • We’ve built 20+ DomainSpecs. We’ll build yours.
The Operators

Behind the Engine

Patrick Barletta

Founder & System Architect

Patrick doesn’t build software — he models chaos. A world-record Factorio systems-optimizer who took the DCF engine from fractal math to live market alpha in under a year, then deployed that same engine across four industries: global equities, autonomous-agent governance, planetary-scale simulation, and aerodynamics.

Regina Toffolo

Co-Founder & Strategic Operations Director

Regina brings 28 years in decision infrastructure — 23 of them at PNC Bank, building the systems, data, and business rules behind institutional credit decisioning, the rest on custom Navy financial systems. She knows what a compliance wall looks like and what executives need to trust an automated system — and turns Patrick’s complexity math into regulation-ready, boardroom-defensible product.

“Reality is a computable system.”

— Patrick Barletta

2 Patents Pending NVIDIA Inception 22 Benchmarks Validated IBKR — Founder Capital Deployed Operational
Contact

Find out more.

Regina Toffolo — Co-Founder & Strategic Operations Director
rtoffolo@tierzerosolutions.io

Tier Zero Solutions

One engine. Infinite frontiers.

Patent Pending  ·  DCF

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