Pre-Revenue | $8–10M Seed Round

Sovereign AI Infrastructure at the Hostile Edge

AI Compute. Anytime. Anywhere.

Brian Hennigan | Founder & CEO

860-428-4900 | brian@3wm.in | Elkridge, MD

UNCLASSIFIED // FOR OFFICIAL USE ONLY

02

The Problem

A $17.3B market has no solution for sovereign AI between consumer devices and fixed data centers.

Compute Power (PFLOPS) →

10,000+

~8.7

~1

~0.01

10,000+
PFLOPS

Data Center

Cloud
UNLIMITED

Hyperscaler

FIXED
INFRASTRUCTURE

THE MOAT

NO SOVEREIGN MOBILE SOLUTION EXISTS

8.7
PFLOPS
SOVEREIGN • MOBILE

3WM ATLAS

~1
PFLOP

DGX Spark

~0.3

Edge Server

~0.1

Workstation

~0.01

Laptop

Phone

CONSUMER
& EDGE
< 1 PFLOP

10,000x
GAP

$17.3B Containerized DC (2025)

→

$154B by 2034

|

$13.4B DoD AI Budget FY26

THE URGENCY

▶Winner-Take-All: 5-year contracts renewing up to 4x (20+ yr lock-in)
▶DISA: Committed to Project Fangorn, confirmed LOI
▶USCYBERCOM: Funding allocated for AI/ML

UNCLASSIFIED // FOR OFFICIAL USE ONLY

03

The Solution

Atlas Tactical Compute Platform

To fill this gap, we built a deployable AI data center that operates anywhere — no cloud, no compromise.

▶Sovereign: All processing within physical boundary — no reachback

▶Mobile: C-130, CH-47, flatbed transportable — operational within hours

▶Ruggedized: -40°C to +50°C, MIL-STD-810H, IP65

▶Silent: Fuel cell / hydrogen at 45 dB

▶Multi-Tenant: Multiple classification levels, mission networking as a service

▶Cisco Native: 85% of DoD networks — zero training lag, 24-hr hot swappable

MVP Specifications

Capability	MVP (Now)	vs. Market
AI Compute	8x NVIDIA RTX Pro 6000 Blackwell	Single/no GPU
GPU Memory	896 GB	8-24 GB
Performance	~8.7 PFLOPS	0.01-0.1
Storage	300TB–2.4PB (VAST AI OS)	1-10 TB
Connectivity	WiFi 6E + Private 5G AI-RAN	WiFi only
Power Draw	~10 kW	Generator/shore
Runtime	149+ hours	2-4 hrs battery
Cooling	Immersion + Liquid + Air	Air only (0-35°C)
Edge AI / 5G Core	DGX Spark GB10 (128GB unified)	None

8x RTX Pro 6000 Blackwell Capabilities: Llama3 70B • Mistral • Falcon • YOLOv8 (30+ FPS) • Whisper (real-time) • RAG/Document Q&A • Sensor Fusion (<1s)

UNCLASSIFIED // FOR OFFICIAL USE ONLY

04

Validated Demand

We have signed commitments — not concepts.

✓ DISA Hosting & Compute Signed LOI Pilot "Fangorn" funded and committed March 2026

✓ USCYBERCOM Funding Transferred Moved funding to DISA to cover pilot gap

✓ Cisco Partnership Tech Validated DoD Sales Director and Lead Engineer advising

✓ WWT Contract Catalog Committed Accelerated DoD procurement upon completion

✓ JHU/APL Thermal Engaged Dr. Steven Storck, PhD — Kaltra microchannel radiator design

✓ Provisional Patent Filed Q1 2026 Sovereign modular AI compute system

★ VAST Data Anchor Order 60 Units Pending $210M–$420M purchase intent, pending successful demo

➜ Lab Demonstrator Build Q1-Q2 2026 Atlas-A (8x RTX Pro 6000) proof-of-concept system

WHY NOW

▶DISA has 10x B300 GPUs — no infrastructure to run them. We solve that in weeks.
▶MILCON for AI datacenter = 3-5 year wait — the warfighter can't wait
▶Pilot funding secured — execution window is open NOW
▶$13.4B DoD AI budget (FY2026) — every agency competing for AI infrastructure

UNCLASSIFIED // FOR OFFICIAL USE ONLY

05

Strategic Partnerships

Our infrastructure is built with best-in-class, trusted partners.

CISCO HARDWARE • Network • UCS Compute • Security

85% of DoD networks — no training lag, 24-hr parts, security on silicon

NVIDIA SOFTWARE & AI • GPU Compute • AI Enterprise

RTX Pro 6000 Blackwell GPUs, Triton Inference, RAPIDS, AI Enterprise stack

SFC Energy HARDWARE • Fuel Cell Power

NATO NSPA compliant, MIL-STD tested, EFOY H2 Cabinet — 10kW, scalable to 50kW. 149+ hr

VAST Data ANCHOR CUSTOMER • 60-Unit Purchase Intent

$210M–$420M anchor order pending demo. Polaris PoP fleet hardware. Multi-protocol AI OS storage.

WWT CHANNEL • DoD Contract Catalog

Accelerated procurement pathway, bridges gap to DISA

JHU/APL ENGINEERING • Thermal Design

Dr. Steven Storck, PhD — custom radiator for extreme environments

CALIBRE CHANNEL • CDAO Tradewinds Catalogue

Bridges gap to government buyers outside DISA

PALANTIR SOFTWARE • DDIL Infrastructure Layer

AIP & Foundry lack DDIL infrastructure. 3WM provides the sovereign hardware layer.

UNCLASSIFIED // FOR OFFICIAL USE ONLY

06

Business Model

Hardware Sale + Recurring Services = Platform Economics

Revenue Stream	Description	Margin
Hardware Sales	Atlas-A $3.5M / Atlas-B $5.5M / Atlas Hyperion $7.0M	78%
Support Contracts	Annual maintenance (15%)	85%+
Tech Refresh	GPU/storage upgrades (4-yr cycle)	50%+
Software Subs	NVIDIA AI Enterprise + mgmt	90%+
Compute-as-a-Svc	$/GPU-hr managed (OpEx)	70%+
Managed Services	Turnkey deploy & AI model mgmt	85%+

KEY METRICS

▶Unit: $3.5M (Atlas-A) / $5.5M (Atlas-B) / $7.0M (Atlas Hyperion) | Build: ~$787K | Margin: 70–78%
▶20-Year LTV: $18.3M per unit (9.5x return on initial sale)
▶Y1: 5 Units → $19.0M revenue → cash positive by Q3 2026
▶Recurring: 15% support + software + CaaS for OpEx customers

$19.0M

Y1

$47.5M

Y2

$89.5M

Y3

$149.5M

Y4

$223.0M

Y5

Hardware Services & Recurring

UNCLASSIFIED // FOR OFFICIAL USE ONLY

07

Financial Projections

Profitable from Year 1 — $19.0M Revenue on 5 Units (Atlas-A Baseline)

Metric	Y1	Y2	Y3	Y4	Y5
Units Sold	5	12	22	35	50
Hardware Revenue	$17.5M	$42.0M	$77.0M	$122.5M	$175.0M
Services Revenue	$1.5M	$5.5M	$12.5M	$27.0M	$48.0M
Total Revenue	$19.0M	$47.5M	$89.5M	$149.5M	$223.0M
Gross Margin	78%	78%	78%	78%	78%
Gross Profit	$14.8M	$37.1M	$69.8M	$116.6M	$173.9M

ASSUMPTIONS

▶5 units Y1: government pilot + initial commercial deployments
▶15% annual support contract on installed base
▶78% gross margin at $3.5M Atlas-A / $787K build cost
▶Cash positive Y1 — $8–10M Seed advance funds first 10 units; self-funding from unit 5+
▶20-Year LTV: $18.3M per unit (9.5x) — "Once locked in, they stay 20+ years"

UNCLASSIFIED // FOR OFFICIAL USE ONLY

08

Competitive Positioning

The Best Sovereign, Mobile, AI-Native Infrastructure — and the Only One Purpose-Built for DDIL.

Capability	3WM	Dell/HPE	Anduril	Klas/CW	Armada
Sovereign HW	✓	✓	Edge	✓	✓
Hostile Edge/Mobile	✓	Ltd	Ltd	✓	Ltd
DDIL Optimized	✓	✓	Part	Part	Part
Fuel Cell Power	✓	✗	✗	✗	✗
149+ hr Runtime	✓	✗	✗	✗	✗
Immersion Cooled	✓	✗	✗	✗	Part
Cisco Native (85%)	✓	✗	✗	✗	✗
~8.7 PFLOPS Mobile	✓	✗	✗	✗	✓
Private 5G Ready	✓	✗	✗	✗	✗

WHY WE WIN

▶vs. Dell/HPE: Purpose-built for DDIL, not adapted from commercial. No fuel cell, no immersion, no portability.
▶vs. Anduril: Higher compute density, longer runtime. We're infrastructure for their SW/HW at the edge.
▶vs. Palantir: Partner, not competitor. We provide DDIL infrastructure and MPE workflows.
▶vs. Klas/CW: 10-100x compute density. Bridge Defense $99.7M USSOCOM contract validates market at our price.
▶vs. Armada: Complementary. They serve commercial edge where power exists. Atlas takes you to the edge of the map where the only infrastructure support is the North Star.

DEFENSIBLE MOAT: Validated gov't relationships + purpose-built integration • Cisco channel (Chris Lyu) • JHU/APL thermal IP • WWT catalog lock-in • First-mover w/ signed LOI • ATO/STIG as switching cost • Provisional Patent Q1 2026

UNCLASSIFIED // FOR OFFICIAL USE ONLY

09

Expanded TAM

Same Pod. New Markets. Zero Hardware Changes.

3WM's defense-proven AI Pod deploys directly to commercial sectors where cloud connectivity is unavailable or sovereignty is critical.

$98B Global disaster response by 2030

Natural Disaster Response

When infrastructure is destroyed, the cloud goes with it

▶ FEMA: AI damage assessment, resource routing, survivor location
▶ Wildfire: Drone ISR, fire spread prediction, evacuation
▶ Hurricane: Real-time comms when cell towers are down
▶ Search & Rescue: CV on aerial imagery at 30+ FPS

$42B Utility AI & edge compute by 2030

Power & Utility Infrastructure

Remote substations and pipelines operate beyond reliable connectivity

▶ Grid Monitoring: AI anomaly detection, predictive maintenance
▶ Pipeline Security: CV inspection, leak detection real-time
▶ Remote Ops: NERC CIP-compliant without cloud dependency
▶ Storm Hardening: Pre-position compute for grid restoration

$67B Edge AI in healthcare by 2030

Healthcare & Field Medicine

HIPAA + sovereignty make the cloud a non-starter in critical care

▶ Rural Hospitals: On-prem radiology AI, zero-cloud PHI handling
▶ Field Medicine: Battlefield & disaster triage AI at point of care
▶ Genomics: Sovereign compute for sensitive sequencing workloads
▶ Drug Discovery: Air-gapped training on proprietary datasets

$89B Industrial edge AI & compute by 2030

Industrial & Remote Operations

Mines, rigs, and factories where bandwidth is scarce and latency matters

▶ Mining: Autonomous haulage, ore-grade AI, safety monitoring
▶ Oil & Gas: Rig automation, predictive drilling, leak detection
▶ Manufacturing: Visual QC, defect detection, line-side inference
▶ Maritime & Space: Autonomous ops where the cloud cannot reach

WHY THIS WORKS: $296B combined TAM across 4 verticals • Zero hardware changes • Same form factor • Defense-proven platform

UNCLASSIFIED // FOR OFFICIAL USE ONLY

10

Go-to-Market

Disciplined crawl-walk-run to ensure success and minimize risk.

PHASE 0: PROTOTYPE

Current → Q2 2026

✓ Signed LOI from DISA HaCC
✓ Pilot Fangorn funded
✓ USCYBERCOM funding transferred
➜ Lab demonstrator build
➜ Provisional patent filing

PHASE 1: GOV PILOTS

Q2 2026 → Q4 2026

DISA Pilot Fangorn execution
USCYBERCOM AI pilot
Containerized MVP deployment
ATO/STIG compliance testing

PHASE 2: PRODUCTION

2027+

Full production capability
DoD Contract Catalog (WWT)
NATO DIANA grant
Enterprise: utilities, OT, healthcare

UNCLASSIFIED // FOR OFFICIAL USE ONLY

11

Leadership

Experienced operators w/ government relationships & AI expertise.

BH

Brian Hennigan

Founder & CEO

▶18 years DoD across multiple commands and continents
▶DISA PEO-Cyber: Managed $218M Endpoint Security Portfolio
▶Enterprise: 13M devices, 5M users, multi-continent
▶10 years DoD cybersecurity — STIG/ATO expertise
▶RFI → Requirements → Acquisition → Deployed POR
▶MIT AI • NVIDIA Deep Learning • DAU Acquisition
▶Clearance: Top Secret (Active)

PS

Patrick Sit

Co-Founder & CPO

▶20 years Cloud PaaS, SaaS & Systems Engineering
▶6 years DoD cybersecurity — Cloud Architecture & TPM
▶AWS, Azure, Government Cloud
▶UMass AI • NVIDIA • DAU
▶Clearance: Secret (Active)

ADVISORS & EXPERTISE

Advisor	Expertise	Affiliation	Contribution
Dr. Steven Storck	Material Science	JHU/APL	Custom thermal/radiator design
Chris Lyu	DoD Sales & Partnerships	Cisco DoD Sales Director	Channel access, tech validation
Ashish Aggarwal	Telecom AI Engineering	Cisco Engineer/Architect	HW optimization, validation
Swan Sit	Digital Transformation	Nike, Estée Lauder, Bain	Commercial expansion
Sarn Bien Aime	Small Business Mgmt	Sales & Market Development	Sales & market development

UNCLASSIFIED // FOR OFFICIAL USE ONLY

12

The Opportunity

$8–10M Seed Round

GPU (8x RTX Pro 6000)	$56K	896GB total, ~8.7 PFLOPS FP8
Compute (C480 + C240 + Spark)	$44K	UCS servers + DGX Spark GB10
Networking & Security	$54K	N9K, C9300, C8300, FPR3110, ISE
Storage	$181K	300TB–2.4PB VAST AI OS
Power Systems	$151K	H2 fuel cell, EMILY backup, UPS
Cooling & Container	$61K	Immersion, radiator, HVAC, 10' ISO
Private 5G	$84K	AI-RAN, 3x O-RU, mast, 5G Core
Software & Licensing	$36K	NVIDIA AI Ent, Cisco, srsRAN
Integration & Testing	$48K	Assembly, burn-in, shipping
TOTAL (incl. 10%)	$787K	Per unit, all-in

USE OF FUNDS ($10M)

▶Atlas production — first 10 units (~$5.0M)
▶Engineering team (18-mo runway) + R&D (~$3.0M)
▶ATO, patents, BD, legal, operations (~$2.0M)

WHAT $10M ENABLES

▶10 Atlas units in 12–18 months — unlocks $210M–$420M anchor order (60 units)
▶Self-funding from unit 5 — revenue funds remaining production
▶30-claim utility patent protects architecture
▶$787K build → $3.5M sale = 78% margin per unit
▶Government-validated platform extends to $8B+ hostile-edge market

$8–10M Seed ECONOMICS: VAST 60-unit Atlas-A: $210M rev, $163M gross profit. Seed unlocks the demo • investment recovered by unit 4 delivery

SEEKING: COMMERCIAL SECTOR LEAD

▶Looking for a $3–5M lead investor with domain expertise in Healthcare and Industrial markets to join the round
▶Same Atlas platform — zero hardware changes — deployed to hospitals, utilities, and critical infrastructure

UNCLASSIFIED // FOR OFFICIAL USE ONLY

Your Data. Your Edge. Your Terms.

▶$8–10M Seed Round with initial $2M Pre-Seed secured (Asc3nd / Sarn Bien-Aimé, 10% @ $18M pre-money)
▶Seeking a lead investor at $3–5M to open Industrial and Healthcare market vectors
▶Signed DISA LOI, funded pilot, USCYBERCOM backing — real demand, not theory
▶Signed VAST Data LOI — 1–60 Atlas configurations, $210M–$420M anchor order
▶$787K build → $3.5M sale → 78% gross margin → $19.0M Y1 revenue
▶First-mover in $8B+ hostile-edge AI market → defense + commercial

Brian Hennigan | Founder & CEO

860-428-4900 | brian@3wm.in

6150 Rockburn Hill Rd, Elkridge, MD 21075

UNCLASSIFIED // FOR OFFICIAL USE ONLY

B1

AI Capabilities

896GB GPU Memory Unlocks Models No Other Tactical Platform Can Run

Platform	GPU Memory	Max Model Size	What You Can Run	Concurrent?
Laptop / Edge	8–24 GB	~13B params	Llama 8B, small LoRA, basic chat	Single task
Workstation	48–96 GB	~70B params	Llama 70B (slow), one CV model	Limited
Single Server	192 GB	~120B params	Mixtral 8x22B, medium inference	2–3 models
Atlas (8x RTX Pro 6000)	896 GB	405B+ params	Llama 405B, Falcon 180B, Mixtral 8x22B, multi-agent orchestration, fine-tuning	5–8 simultaneous

Concurrent Mission Pipelines — All Running Simultaneously

Input

Pipeline

Output

GPUs

ISR / Drone Feed

YOLOv8 → ResNet Classification → Tracking

Real-time Targeting

2x

SIGINT / Comms

Whisper Transcription → Translation → NER → LLM Summary

Intel Report

1x

Commander Query

Llama 405B → RAG (doctrine, terrain, ORBAT) → COA Generation

Decision Support

2x

Sensor Array

Multi-modal Fusion (RF + EO/IR + Acoustic) → Threat Correlation

COP Update

1x

Network / Logs

Anomaly Detection → SIEM Correlation → Automated Response

Cyber Defense

1x

Field Data

Fine-tuning / LoRA Adaptation → Domain-specific Model Updates

Model Evolution

1x

6 PIPELINES • 8 GPUs • ALL SOVEREIGN • ALL SIMULTANEOUS • NO REACHBACK

▶The point isn't any single model — models evolve every quarter. The point is 896GB of GPU memory means Atlas runs tomorrow's models at the edge today, while every other tactical platform is stuck on last year's 8B parameter toy.
▶Fine-tuning on-device — Atlas doesn't just run models, it adapts them in the field. New threat? New terrain? Train a LoRA adapter overnight without sending data home.

UNCLASSIFIED // FOR OFFICIAL USE ONLY

B2

Backup: Power Architecture

Modular H2 Fuel Cell. 149+ Hours. Shore Power Optional.

Component	Power
8x GPUs (RTX Pro 6000 Blackwell)	4,800W
UCS C480 + C240 M7	850W
DGX Spark (AI-RAN)	240W
Cisco Networking (immersed)	1,255W
Storage (300TB–2.4PB VAST AI OS)	164W
Cooling + HVAC	1,000W
5G Radios + PTP	500W
Management/Misc	110W
TOTAL SUSTAINED	~9,675W
PEAK (GPU burst)	~10,200W

POWER SOLUTION

EFOY H2 Cabinet N-Series = 10,000W (2× H2 5.0)
EMILY 12000 ×2 = mgmt plane backup
Scalable to 50kW = add modules/cabinets
Shore power input = when available
84kg H2 storage = 149+ hr runtime

WHY SFC: NATO NSPA compliant • MIL-STD tested • modular PEM 10kW → 50kW • 80% utilization • EMILY DMFC backup • Silent (45 dB at 7m)

UNCLASSIFIED // FOR OFFICIAL USE ONLY

B3

Backup: Technical Architecture

MVP Architecture

3WM Sovereign AI Pod

Network Layer

IR1101 (WAN)

C8300 Router

C9300 Switch

Compute Layer (Immersed)

UCS C480 ML M7
8× RTX Pro 6000 Blackwell = 896GB total, ~8.7 PFLOPS FP8

UCS C240 M7 (Services/5G)

300TB–2.4PB VAST AI OS Storage

Power & Software

EFOY H2 (10kW) + EMILY ×2

K8s (RKE2) → GPU Operator → Triton → PyTorch/TensorRT → Kafka • Redis • PostgreSQL

SECURITY

▶ VAST encryption at rest
▶ MACsec on DC fabric
▶ IPsec/TLS on WAN
▶ VXLAN microsegmentation
▶ Zero Trust architecture
▶ STIG-hardened OS images
▶ ATO-ready from inception
▶ Hardware HSM for keys
▶ 5G SIM-based auth

MIL-STD COMPLIANCE

▶MIL-STD-810H (Environmental)
▶MIL-STD-461G (EMI/EMP)
▶IP65 external interfaces
▶-40°C to +50°C operations

UNCLASSIFIED // FOR OFFICIAL USE ONLY

B4

Backup: Risk Mitigation

Risk Assessment: Severity vs. Likelihood

Risk	Severity	Mitigation
GPU Supply	Medium	RTX Pro 6000 Blackwell available; Cisco UCS multi-vendor compatible
Gov't Timeline Slippage	Medium	Signed LOI + funded pilot; parallel SBIR/DIANA paths
Power Gap (Fuel Cell vs Load)	Medium	Modular EFOY H2 (10kW, scalable 50kW); EMILY backup
Competitive Entry	Low-Med	DoD relationships; signed pilot/LOIs; patent protection
Technical Execution	Medium	JHU/APL thermal; Cisco proven UCS platform
ATO Timeline Uncertainty	High	Designed for ATO from inception; Cisco security-on-silicon
Small Team	Medium	Lean by design — integrators, not manufacturers; capital → product

COMMON INVESTOR OBJECTIONS

▶"Hyperscalers will crush you" → They serve cloud. We serve DDIL where cloud doesn't work. We're the acquisition target.
▶"Why can't DoD build this?" → They've tried. DISA has GPUs, not infrastructure. Traditional acquisition takes 5+ years.
▶"Hardware margins are thin" → 78% HW margin + 85%+ recurring services. Tech refresh every 4 years = built-in upgrade cycle.

UNCLASSIFIED // FOR OFFICIAL USE ONLY