Synthetic environments & scenarios
Seeded, multi-domain synthetic data and scenarios for testing, training and wargaming, so systems can be exercised without live or sensitive data. Every run is repeatable.
QUANTUMZERO // IRREGULAR WARFARE & INTELLIGENCE R&D
QuantumZero prototypes AI, simulation and analysis capabilities for irregular warfare, intelligence and defense problems that cross domains. It builds on its own sovereign AI platform, so each new capability starts from a working core instead of from scratch.
THE LAB
Every capability goes through the same three steps, starting on the QuantumZero platform. The lab works adversary-first: nothing is trusted until it has been attacked the way an opponent would attack it.
Built against realistic constraints, such as disconnected networks and limited compute, then red-teamed before it is trusted: the lab plays the adversary first and fixes what breaks.
Exercised in synthetic environments with seeded, repeatable runs before it is called done.
What holds up leaves the lab as its own codebase, still able to run on the platform.
THE PLATFORM
Most AI capability is rented: someone else's cloud, someone else's keys, someone else's terms. QuantumZero assembles its stack from open-weight models and proven open-source components, and owns how they are integrated, hosted and secured. The whole stack runs entirely on infrastructure the operator controls, so it can sit inside an enclave and nothing depends on an outside service being reachable.
Every decision, model call and event is written to a tamper-evident audit trail, so any run can be audited and replayed. Security controls are informed by NIST SP 800-53 and the DoD Cloud Computing Security Requirements Guide (SRG).
NOVA
An on-premises, multi-model reasoning platform. An open-weight core runs on hardware you control and calls external models only when policy and connectivity allow, so it is designed to keep working in denied, disrupted, intermittent and limited-bandwidth (DDIL) conditions.
Sensitive work should not have to leave the enclave, or trade capability for sovereignty to stay there.
Designed to run with no outside connection at all, models included.
Orchestration across local and external models, with cross-model agreement checks.
Retrieval over your own holdings, with a reliability rating and provenance on every source.
A knowledge graph that carries context and findings across sessions.
A review step that critiques reasoning before an answer is given.
Reviews its own past decisions and proposes changes, which are tested in a sandbox and adopted only with human approval.
Specialist agents work a problem together and reconcile their answers into one.
A model registry, so swapping or upgrading models is a configuration change, not a rebuild.
CAPABILITIES
The engines built on the platform, and the building blocks the lab reuses from one problem to the next.
Seeded, multi-domain synthetic data and scenarios for testing, training and wargaming, so systems can be exercised without live or sensitive data. Every run is repeatable.
Unclassified world models built from open map data on a hexagonal grid, with open satellite-orbit, aircraft, vessel and subsea-cable layers.
A 3D geospatial view that brings events from across the platform onto one globe for shared situational awareness.
Correlates open-source and synthetic streams into one entity-and-event picture over a knowledge graph, keeping provenance on every source.
Born in the lab’s market work, where every decision is scored against a live adversarial system and nothing hides a bad call. Event-driven modeling, backtesting and hard risk limits for fast, auditable decisions under uncertainty, in any domain.
The same stack packaged to run on premises or air-gapped, from an analyst workstation to an edge node, with store-and-forward sync when a link is available.
Versioned synthetic personas that sit as advisers, as councils with structured dissent, or as whole populations whose behavior can be forked and studied over time. Every output is labeled synthetic.
The same scenario and seed reproduce an identical, auditable event log, and AI decisions enter as recorded events, so any run can be replayed and checked without calling a model.
Seeded batches, design-of-experiments sweeps and reverse stress searches that find the conditions under which a plan breaks, with statistics a reviewer can rerun.
MISSION AREAS
Bring a hard problem. The method and the platform are system-agnostic: the same core adapts to whatever domain the lab is tasked into, which is why its range runs this wide. The lab’s center of gravity is irregular warfare and competition below the threshold of armed conflict.
Wargames of irregular warfare and competition below armed conflict, played against adaptive opponents, with adversary behavior grounded in observed tactics, techniques and procedures (TTPs).
Defensive work in the information environment: spotting manipulated media and coordinated inauthentic activity, mapping narratives, and assessing information-integrity risk before it becomes a crisis.
Support for intelligence analysis: structured analytic techniques, competing hypotheses weighed side by side, and source provenance kept behind every judgment an analyst makes.
How legal and regulatory mechanisms are turned into instruments of pressure in strategic competition, and how to anticipate, model and counter them before they land.
AI-assisted detection and triage with an analyst in the loop, defensive deception on owned networks, and red-team research run against synthetic networks.
Post-quantum cryptography built on the NIST standards ML‑KEM and ML‑DSA, crypto-agility, and secure communications that keep command and control working in DDIL conditions.
Electronic warfare, hypersonic tracks, orbital risk, vessel-behavior anomalies and chemical, biological, radiological and nuclear (CBRN) hazards, studied together rather than in silos.
Digital twins of power, water, telecommunications and subsea cables, used to study cascading failure, keep critical systems running and plan emergency response.
Following money and incentives through adversarial networks: threat finance, sanctions evasion, fraud and anti-money-laundering (AML) typologies, and markets used as instruments of pressure, analyzed on the lab’s quantitative engine.
FOUNDER
“I break systems, and I keep them running.”
Ryan has built distributed systems since the IRC days and spent 25 years running a digital operations firm in the information environment, where he saw firsthand how influence and manipulation campaigns, and the people behind them, organize, adapt and get past defenses. That is where his red-team and adversarial-intelligence work comes from.
He is also a licensed journeyman plumber and an industrial project manager who ran bidding and projects on utility work at Department of Energy and Tennessee Valley Authority sites. Few people have worked code, adversaries and critical infrastructure hands-on, and that combination is what QuantumZero builds on.
CONTACT
For research collaboration, prototyping engagements and teaming inquiries. Unclassified correspondence only, please.
Roanoke, Virginia
Please include your organization, the problem or topic, and how you prefer to be reached.
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