Plexmark — Engineering Emergence in Agentic Digital Economies

About

Scientist. Engineer.
Strategist.

Most consultants are one of these. Mike Norman is all three.

With a PhD in Complex Systems Science and a BSc in Computer Systems Engineering, Mike has spent 15+ years studying how emergent behavior arises in decentralized systems. Then building production systems that leverage it. He held Top Secret clearances supporting DoD and DHS missions for over a decade.

As Director of Token Economics at Consensys, he designed token incentive structures and mechanism models for protocols across the Ethereum ecosystem. He published the first academic work on emergent trust in public blockchain networks, and was among the first to run multi-agent reinforcement learning (PPO) via Unity's ML-Agents framework days after its release.

Now as CSO and co-founder of CNS Labs — backed by Ethereum co-founder Joe Lubin as lead investor, alongside Consensys and Consensys Mesh — he's building coordination protocols for a world where humans and autonomous agents transact as peers.

The edge isn't complexity science as a buzzword. It's 15 years of applying its principles to systems that actually matter, and shipping the results. Today that means running production multi-agent systems across heterogeneous compute, with persistent memory, autonomous monitoring, and human-agent synthesis.

Michael D. Norman, Ph.D.

Founder & President · Plexmark LLC

Abstract operating map of agentic digital economies, showing strategy, agents, incentives, risk, and regulation as one connected system

Capability Map

One operating model for systems that refuse to stay in their lane.

Strategy, agents, incentives, legal constraints, and systemic risk are usually treated as separate workstreams. Plexmark’s edge is seeing them as one adaptive system — then making the architecture, economics, and governance legible enough to ship.

Services

What We Do

Strategy, economics, governance, and AI systems for teams building in markets where complexity is the product.

Market sensemaking

Strategic Advisory

Fractional Chief Strategy Officer for Web3 and AI-native companies. Systems thinking applied to real product and market decisions.

Abstract multi-agent orchestration fabric with memory and compute nodes

Sovereign orchestration

Agentic AI Architecture

Multi-agent orchestration, memory and continuity systems, human-agent synthesis, sovereign infrastructure. Studying and building agent systems since before most people knew what the word meant.

Abstract mechanism design machine with incentive loops and token geometry

Incentive geometry

Token Economics & Mechanism Design

Design incentive structures that actually work at scale. Modeled as complex adaptive systems, not guesswork on a whiteboard.

Abstract protocol launch corridor and onchain network horizon

Protocol to market

Digital Asset Strategy

Protocol design, market positioning, and go-to-market for teams building onchain. From whitepaper to mainnet.

Abstract fragile network showing hidden centralization and cascading risk paths

Fragility made visible

Systemic Risk Analysis

Hidden centralization. Liquidity cascades. Network fragility. Rigorous modeling for protocols, DAOs, and investment funds.

Abstract bridge between protocol architecture and legal reasoning

Code ↔ counsel

Technical Advisor to Counsel

The bridge between what the code does and what the law says. Former technical contributor to SEC, CFTC, Treasury, and Commerce missions via FFRDC. Translates protocol architecture into language regulators and litigators can actually use.

Abstract legislative and agency rulemaking landscape with analytical pathways

Policy as architecture

Regulatory & Legislative Strategy

Line-by-line redlines of CLARITY, RFIA, and stablecoin frameworks — not summaries, actual amendment-level analysis. Agency rulemaking expertise from direct federal experience. For teams that need to understand where the regulatory landscape is — and where it's headed.

Odd-shaped problem?