Emergent Autonomy
[email protected]

Defense AI Research & Consulting

The right architectures don't just support autonomy — they give rise to it

Emergent Autonomy is a senior research consultancy helping defense programs discover where AI and autonomous systems create real capability advantages. Three decades of R&D across all DoD branches, major primes, national labs, academia, and small businesses — from multi-agent systems to GenAI pipelines.

We believe that with the right system designs and approaches, AI models can evolve to exhibit emergent autonomous behavior — opening the door to advances in defense capability that can't be achieved by bolting intelligence onto legacy architectures. Our work is finding those designs: the distributed foundations, the security models, the data-centric patterns that let autonomy emerge naturally from well-engineered systems.

Defense systems need AI that works in the real world — secure, real-time, and operationally relevant. We help programs move beyond AI as a buzzword to AI as genuine capability: integrated into distributed architectures, hardened for contested environments, and designed to create advantages that matter in the field. We call it emergent autonomy — the conviction that with the right system designs, AI-enabled systems can evolve to exhibit increasingly autonomous, intelligent behavior. But autonomy is one outcome. The goal is operational AI that makes defense systems decisively better.

AI, Agentic Systems & Machine Learning

Applied AI/ML prototyping in secure, real-time defense pipelines. GenAI roadmap development. Multi-agent coordination architectures — from early agent-based computing research through today's agentic AI systems.

Real-Time Distributed Systems

Deep expertise in publish-subscribe middleware, data-centric connectivity, and scalable architectures for defense and Industrial IoT. The connective tissue that makes autonomous systems possible at operational scale.

Data-Centric Security & Cybersecurity

Data-centric threat modeling, MBSE-driven cybersecurity, classified information exchange in joint simulations, and securing real-time communications in contested environments. RMF, NIST 800-171, and CUI compliance.

Rapid Innovation & Fail-Fast R&D

50+ government-funded research programs designed, proposed, won, and executed. SBIR/STTR from Phase I through Phase II. Compressing the cycle from research question to demonstrated capability.

MISSION ORCHESTRATOR v2.4 — MULTI-AGENT COORDINATION AGENTS TIMELINE COMMS RULES AUDIT LOG MISSION: ASW OPS — SECTOR 7 PATROL | ROE: WEAPONS HOLD | ELAPSED: 02:14:33 AGENT-01 ISR SURVEILLANCE ACTIVE Task: Sonobuoy pattern deployment — sector sweep Platform: MQ-9B #117 Alt: 8,200ft Confidence 0.87 Last decision: Adjust pattern — anomaly bearing 247° 12s ago AGENT-02 THREAT ASSESS EVAL Task: Classify contact SIERRA-4 — correlate w/ ELINT Sources: 3 (acoustic, radar, AIS) Confidence 0.62 Pending: Request HUMINT correlation — awaiting AGENT-03 EW RESPONSE ACTIVE Task: Jamming posture management — adaptive Emitters tracked: 14 Active responses: 2 Confidence 0.91 Last decision: Shift freq — counter hostile SIGINT probe AGENT-04 COA PLANNER ACTIVE Task: Generate COA options — contact prosecution COAs generated: 3 Preferred: COA-2 COA-1: Maintain track, passive P(success) 0.72 COA-2: Prosecute w/ P-8A, helo P(success) 0.88 COA-3: Disengage, reposition P(success) 0.95 DECISION TIMELINE last 30 min -30m -20m -10m -5m now ISR deploy EW posture contact det. classify req COA gen pending 4 agents active | 12 decisions / 30 min | 1 human-in-loop pending | ● system nominal

Agentic AI for Defense Systems

Multi-agent coordination architectures for contested environments. Autonomous mission planning, threat assessment, and COA generation with human-in-the-loop oversight. Designing the operator interfaces and reasoning frameworks that make agentic AI operationally trustworthy.

CERTIFIABLE CODE GENERATOR — BUILD #2847 EXPLORER ▼ src/ ▼ nav/ tracker.c filter.c state_est.c ▼ comm/ msg_handler.c crypto.c ▶ test/ ▶ docs/ CERT READINESS 94% MISRA-C:2023 6 advisory / 0 mandatory TEST COVERAGE 89% statement 142/160 tests pass tracker.c tracker_test.c requirements.yaml 42 typedef struct { 43 double lat, lon, alt; 44 double vel_n, vel_e, vel_d; 45 uint32_t timestamp_ms; 46 uint8_t track_quality; ✓ MISRA 6.1 — type width explicit 47 } TrackState; 49 /* AI-generated: Kalman predict step */ 50 static inline void track_predict ( 51 TrackState * restrict state, ✓ MISRA 8.13 — const correctness 52 const double dt_sec) 53 { 54 state->lat += state->vel_n * dt_sec; 55 state->lon += state->vel_e * dt_sec; AI ANALYSIS TRACEABILITY STATIC CHECK TESTS Generated function: track_predict() Requirement trace: REQ-NAV-042 → "Track state propagation" Pattern: Linear dead-reckoning (WGS84 approximation) Suggestions: 1. Add Earth curvature correction for range > 50nm 2. Clamp dt_sec — prevent overflow (MISRA 12.1) 3. Add assertion on track_quality > 0 (DO-178C L-B) Gen time: 1.8s | Compliance: MISRA-C:2023 + DO-178C | Model: v3.2.1-defense

AI-Accelerated Software Development Pipelines

Using generative AI to compress the defense software development cycle while maintaining certifiability. AI-assisted code generation with inline compliance checking (MISRA-C, DO-178C), automated traceability to requirements, and continuous certification readiness scoring.

FUSION ENGINE — OPERATIONAL PICTURE OWNSHIP F-01 F-02 H-01 SIERRA-4 H-02 U-01 ◇ MQ-9B #117 20nm 40nm N E LIVE FEEDS RADAR — Primary Search Tracks: 47 | Update: 250ms | SNR: good ACOUSTIC — Sonobuoy Array Contacts: 3 | Buoys: 12/16 | CZ: clear ELINT — Threat Warning Emitters: 14 | New: 2 | Hostile: 3 AIS / BLUE COP Vessels: 231 | Friendly: 8 | Range: 100nm UxV TELEMETRY Active: 2 | MQ-9B #117, USV-03 FUSION STATUS Correlation: 94.2% Latency: 8ms Msgs/sec: 31,204 ● nominal CORRELATION EVENTS live ▼ 14:23:07 SIERRA-4 correlated: RADAR + ACOUSTIC + ELINT → confidence 0.87 → reclassify HOSTILE-SUB 14:22:51 U-01 new contact: AIS negative, RADAR only → classify UNKNOWN → assign AGENT-02 14:22:34 MQ-9B #117 telemetry nominal — sonobuoy pattern 60% complete

Real-Time Data Streaming for Agent Integration

High-throughput sensor fusion architectures that feed AI reasoning in real time. Correlating radar, acoustic, ELINT, and AIS data streams into a coherent operational picture — with latencies measured in milliseconds, not seconds.

KNOWLEDGE GRAPH — OPERATIONAL CONTEXT ENGINE ⌕ Query: show threat networks within 60nm of OWNSHIP involving emitter type FIRE-CTRL DDG-51 OWNSHIP P-8A ISR MQ-9B UxV SSM BATT FIRE-CTRL SAM SITE SA-21 EW SITE JAMMER C2 NODE ASW OPS ACTIVE tracks jams supports deploys assignedTo ENTITY DETAIL SSM BATTERY Type: Coastal defense Emitter: FIRE-CTRL Range: 42nm from OWN Bearing: 047° Threat level: HIGH RELATIONSHIPS → supports SA-21 (air def) → co-located EW SITE → C2 link to NODE ← tracked by OWNSHIP ← surveilled by P-8A AI INFERENCE Likely IADS node Kill chain: detect→ track→engage via SA-21 GRAPH STATISTICS Entities: 284 Edges: 1,847 Inferences: 92 Context window: 120s Query: 12ms ● live friendly hostile mission unknown confirmed - - inferred

Knowledge and Context Graphs for Operational AI

Building the semantic layer that gives AI systems operational context. Entity-relationship graphs that encode platforms, threats, missions, and capabilities — enabling AI agents to reason about the battlespace, not just react to sensor data.

Our founder and chief scientist brings three decades of defense research leadership — from early work in multi-agent systems and runtime software instrumentation, through sensor exploitation and high-throughput tactical networking, to leading a 10-person research organization where he managed, technically led, or advised the success of over 40 DoD contracts across AI/ML, cybersecurity, distributed systems, and edge computing.

He has built and sustained research collaborations with national laboratories (PNNL, Brookhaven, Fermilab, Oak Ridge), universities (UC Irvine, Dartmouth, Vanderbilt, Northeastern, Colorado, Cincinnati), and technology engagements with the Air Force, Army, Navy, Missile Defense Agency, DARPA, DOE, and major defense primes. He holds a Ph.D. in Computer Science and an active TS/SCI security clearance.
30+
Years in defense R&D
40+
Won/led DoD contracts
$50M+
In research funding secured
TS/SCI
Active clearance

Emergent Autonomy operates as a senior research partner embedded within your technical team. We work with defense contractors who need deep domain expertise and a proven PI to tackle hard problems — designing experiments, building prototypes, and delivering the technical evidence that drives investment decisions. Our approach is rapid, iterative, and intellectually honest: find out what works, kill what doesn't, and do it fast.

Research Design & Technical Strategy
Scoping research questions, defining hypotheses and methods, and designing experiments aligned to sponsor objectives and business questions
Rapid Prototyping & Exploration
Hands-on R&D that compresses the innovation cycle — building working prototypes that generate real technical evidence, not slide decks
SBIR/STTR Proposals & Execution
End-to-end: competitive analysis, technical volume authorship, and program execution as PI from concept development through Phase II demonstration and Phase III transition
Cross-Domain Collaboration
Bridging government sponsors, national labs, universities, and industry partners — translating complex research findings into decision-ready guidance

A senior PI who wins proposals, creates discriminators, and delivers

When you add Emergent Autonomy to your team, you're not getting a body to fill a labor category. You're getting a research leader who has spent three decades doing exactly what your program needs — defining the technical vision, writing the winning proposal, building the prototype, and briefing the results to the sponsor. One person who owns the problem end to end.

Win More Proposals
Extensive SBIR/STTR and BAA proposal experience with a strong win rate. I know how to frame a research narrative that resonates with government evaluators — because I've been on both sides of that conversation for 30 years.
Create Real Discriminators
Your proposal needs a technical edge that reviewers can't ignore. I identify where genuine innovation exists in your approach and sharpen it into the discriminator that separates you from the pack — grounded in what's actually achievable, not marketing.
Define Vision & Scope, Then Execute
From initial concept through research design, milestone planning, and hands-on execution — I define what we're going to build, why it matters, and then I build it. No hand-off to junior staff. The person who scopes the work does the work.
Bridge Every Part of Your Organization
Decades of working across executives, product teams, marketing, sales, field application engineers, and development. I translate between the business case and the technical reality — and I'm comfortable in any room in the building.
Senior Expertise, Zero Overhead
No layers of management, no bait-and-switch with junior staff, no overhead markup. Direct access to a Ph.D.-level research leader with an active TS/SCI clearance who starts contributing on day one.
Lead With Confidence
I've led research teams, managed multi-million-dollar programs, and presented to senior government sponsors and corporate executives. When your program needs someone who can step in and lead the technical effort, that's what I do.
GenAI & Large Language Models
Agentic AI Architectures
Multi-Agent Systems
Real-Time Middleware (DDS)
Publish-Subscribe Systems
Edge & Containerized Computing
Data-Centric Security
MBSE-Driven Cybersecurity
Classified Information Exchange
Electronic Warfare
Sensor Exploitation (RADAR, LADAR)
Air-to-Ground Networking
High-Assurance Software
Smart Grid & Energy Systems
Medical Device Security
Software Certification Acceleration

Start a conversation

[email protected]
Minneapolis–St. Paul, Minnesota

Available for subcontract research engagements with cleared defense contractors. Teaming arrangements and NDAs welcome.