Sovereign
U.S.-owned, U.S.-controlled infrastructure · Trusted domestic supply chain · Cleared personnel and secure environments · No foreign dependency risk
Track 1I'm with a program office or commandWarfighting AI nodes from core to edge
Track 2I'm with a research program or labSovereign enclave for workloads, storage and agents
Contractor handling CUI or export-controlled data? Start with the Enhanced tier →
Mission owner
Your mission
Operational outcomes, data handling, timeline and acquisition path.
MALA
The advisor on your side of the table
From first conversation through deployment and sustainment.
Eminence Defense
The AI Arsenal
Designs, builds, owns and operates sovereign AI infrastructure. Founded by former military leaders, special operators, enterprise executives and technologists.
Acquire AI combat capability, not infrastructure.
Secure
Zero Trust architecture embedded · Quantum-resilient encryption · SCIF-capable environments · No public internet exposure · Defense-in-depth cyber architecture
Survivable
Distributed, low-signature nodes · Meshed network topology · Multi-path transport over terrestrial fiber and multi-orbit SATCOM · Resilient off-grid power layers
Scalable
30–50 MW core AI Arsenal Nodes · Rapidly deployable forward nodes · Mobile, expeditionary AI edge nodes · Modular expansion aligned to operations
As a Service
Delivered as AI Infrastructure-as-a-Service · No capital expenditure burden · Mission-aligned configuration and scaling
Primary Power Options
SMRNatural gasWindBatteryFuel cellGrid
Generate
Core nodes
30–50 MW sovereign facilities producing AI combat power at scale, with resilient off-grid power layers.
Project
Forward nodes
Rapidly deployable capacity that moves AI closer to operations and expands modularly with the mission.
Sustain
Edge nodes
Mobile, expeditionary AI that keeps working in denied, degraded and contested environments.
Secure workload
What you must proveControlled data, and the model weights trained on it, never leave the boundary. No administrator outside your cleared workforce sits on the training path.
What stands behind itSingle-tenant reserved GPU capacity on dedicated hardware, with zero trust enforced at line rate.
Sovereign storage
What you must proveData at rest is unreadable to the operator and protected for the life of the program. Custody and deletion are demonstrable.
What stands behind itKeys generated and held inside your environment, post-quantum encryption at every layer, one custody chain across tiers.
Governed agentic workflow
What you must proveEvery agent action is authorized, bounded to one handling tier, unable to egress, and attributable to an identity, a dataset and a result.
What stands behind itA sovereign control plane with per-call policy enforcement, no internet egress and full telemetry kept as audit evidence.
Standard
Open and collaborative researchHigh-performance workloads, storage and agent execution for work with no handling restriction.
Open model development · Shared datasets · Agents with external tool access
Enhanced
Controlled and regulated dataFull audit logging with export-controlled and CUI segregation across compute, storage and every agent action.
Export-controlled training · Sponsor data archives · Agents bounded to CUI
SCIF-level
Classified and compartmentedDedicated sovereign colocation built to SCI standards for workloads that cannot exist anywhere else.
Classified training · Compartmented archives · Agents with no path outward
Whitehorse control plane
Eminence's patent-pending orchestration layer. It builds a network path when a workload starts and tears it down when the work ends, and lets you check isolation and data residency yourself, on demand.
ComputeCore networkPublic edgePrivate edgeQuantum securityAsset intelligence
Every action lands in an inspectable operating record. Licensing included.
Outrider access appliance
A dedicated appliance at your site that brokers only approved traffic into the fabric and enforces inspection and access policy at your boundary. It has no presence on the public internet.
Pairs with mobile and edge nodes for forward government use.
Dedicated compute
Reserved GPU and HPC clusters matched to the job: reasoning, inference, private training or simulation. Bring your own model, or use open-weight models vetted for technical and licensing fit.
NVIDIA DGX B200 and H200 · Grace-based systems · AMD EPYC HPC
Private national backbone
Nodes connect over private fiber rather than the internet. In October 2026, Eminence announced a partnership with Lumen Technologies to extend this across the U.S., from edge to core.
Lumen fiber, programmable network and edge footprint
Post-quantum security
Post-quantum encryption built on Qrypt technology, with defined handling for how keys are generated, distributed, rotated and retired, and evidence you can review.
Protection scope is set and documented per deployment.
Cleared operations
Cleared technicians and engineers run the facilities and can work as an extension of your own team, with no foreign-national administrative path.
Founding team: former senior military leaders, special operators and enterprise executives.
One agreement. One accountable team.
- Flat monthly rate over a defined term
- Pre-architected or custom-designed systems
- From one cluster or container to a multi-site fabric
- Air-gapped storage and GPU clusters
- SCIF, on-premises, mobile and edge options
- Single U.S.-based contract
- Expedited contracting led by in-house counsel
Designed to support
FedRAMPITARIL4IL5IL6SECRETTS/SCICMMC
These are design targets stated by Eminence, not blanket certifications. Authorization status is confirmed per deployment, and some programs need a government sponsor. MALA requests that documentation as part of every evaluation.
80days
Until the CNSA 2.0 acquisition gate
From January 1, 2027, new national security system acquisitions are expected to meet NSA's post-quantum algorithm suite. Data harvested today can be decrypted on an adversary's timeline.
Source: NSA CNSA 2.0 transition timeline What CNSA 2.0 means for AI programs →AI infrastructure is a target
Physical, cyber, network, encryption and supply chain layers are all attack surfaces. Architecture built for commercial uptime was not built for contested operations.
New capacity is a five-year question
Municipal data center bans, a Massachusetts incentive pause and multi-year interconnection queues are limiting new AI capacity in New England. Already-permitted, already-powered capacity is scarce.
Source: Eminence Sovereign briefing7%of federal leaders
Have AI agents in production
Agentic AI is arriving faster than the infrastructure to govern it. Agents that can act on controlled data need boundaries they cannot cross.
Source: Booz Allen / Market Connections survey, cited by Eminence Grey| Requirement | Shared GovCloud / GPU cloud | Sovereign AI infrastructure |
|---|---|---|
| Control | Compliance overlay on multi-tenant hardware | Physical and jurisdictional control, single-tenant by construction |
| Performance | Best-effort capacity behind other tenants' training runs | Reserved GPU capacity with predictable throughput |
| Key custody | Provider-held or provider-managed keys | Keys generated and held inside your enclave, post-quantum at every layer |
| Exposure | Internet-reachable control planes and egress paths you cannot see | Air-gapped from the public internet, with no outbound path for workloads or agents |
| Operators | Administrators you do not employ | Cleared, U.S.-person staff with no foreign-national administrative path |
| Portability | Platform-specific services | Open standards and portable workloads |
| Networking | Standing network paths that stay up between jobs | Paths created per workload at runtime and removed afterward |
| Commercials | Metered usage across many line items | One agreement at a flat monthly rate over a defined term |
MALA stays involved at every stage, not just until the contract is signed.
Define
Mission outcomes, data handling and acquisition path.
Map
Workloads, storage and agents to the right handling tier.
Evaluate
Sovereign, cloud and hybrid options on fit and cost.
Site Visit
Walk the facility with your infrastructure and security leads.
Pilot
One real workload with the audit artifacts you need.
Deploy
Topology, compute, access and controls, closed out with acceptance evidence.
Sustain
Performance reviews, expansion and renewals.
75+combined years of executive technology leadership
100+technology projects led
430+technology providers in MALA's network
0research, sponsor or mission deliverables disrupted across our FFRDC and defense contractor projects
Program Offices
Department of War mission owners standing up AI-first capability.
Primes & A&D
Training and running models on export-controlled and CUI data. Aerospace & defense advisory →
Research & Civilian
National labs, research programs and civilian agencies that need compute they cannot self-build in time.
Gov. Contractors
Firms needing a compliant enclave for AI work under DFARS and CMMC. Government contractor advisory →
- 1
Briefing & site visit
A MALA-led briefing, then a walk through the facility with your infrastructure and security leads.
- 2
Workload, storage & agent mapping
What must be proven in each domain, which controls belong to whom, and where your gaps sit.
- 3
Scoped pilot
One real workload in a sovereign tier, with the audit artifacts your security organization needs to certify it.
Common starting points
Reserve capacityPartnershipCNSA 2.0 deadlineEdge AI program
Start the conversation. No obligation.
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