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MISSION CRITICAL SOVEREIGNTY

Secure AI for
Defence

Sensors, intelligence, and logistics each live in their own system, so the operational picture is stitched together by hand — and the AI that could fuse them assumes a cloud connection classified networks must never make. That is the problem we solve: the AI OS fuses sensors, intelligence, and logistics into one Common Operational Picture, with frontier autonomous agents and predictive analytics running as a sovereign cluster inside your air-gapped, classified environments — at headquarters or deployed close to operations — with total data sovereignty on our European-native platform.

During MissionsDefence Departments and OrganisationsNATODefence Suppliers
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Air-Gapped Ready

Fully functional without internet connectivity. Run a sovereign cluster in your own data centre or deployed close to operations.

European Sovereignty

Built in Europe, for Europe. No reliance on US-based hyperscalers or API dependencies.

Zero Trust Architecture

Identity-aware agents with granular access controls and complete audit trails for every action.

Founded and staffed by former Microsoft and Google experts in AI, data, EUi & NATO
Mission Applications

Capabilities for the Modern Battlefield

Proven use cases delivering asymmetric advantage through sovereign AI.

Tactical Edge Intelligence

Field Operations

Challenge

Commanders need real-time situational awareness from drone feeds and sensors, but bandwidth is limited and cloud connectivity is unreliable.

Solution

Deploy lightweight AI agents directly on tactical hardware to process video and sensor data locally, bringing data together in any situation.

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Real-time threat detection with 99% bandwidth reduction and operation capability in denied environments.

Classified Document Analysis

Intelligence

Challenge

Analysts are drowning in terabytes of captured documents and intercepts, but data is too sensitive for public cloud LLMs.

Solution

On-premise Large Language Models (LLMs) ingest and summarise classified documents within the secure facility, identifying key entities and relationships.

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Accelerated intelligence cycle, turning raw data into actionable intel in minutes instead of days.

AI Assisted Wargaming

Simulation

Challenge

Commanders need to test strategies against realistic opponents, but traditional wargames are slow, expensive, and limited in scope.

Solution

AI agents simulate complex, adaptive adversary behaviours in large-scale virtual environments, allowing for rapid iteration of tactical plans.

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Rapid validation of operational plans and enhanced commander readiness through exposure to complex, unpredictable scenarios.

Back Office Automation

Administration

Challenge

Manual approval processes, procurement delays, and administrative burdens slow down operational readiness and consume valuable personnel hours.

Solution

Automate common approval use cases, procurement requests, and HR processes with intelligent agents that ensure policy compliance.

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Streamlined operations allowing personnel to focus on mission-critical tasks rather than paperwork.

Operational Superiority

During Missions:
A Common Operational Picture

In the heat of operation, disparate sensor data must become actionable intelligence instantly. Our platform enables multi-modal data fusion at the tactical edge, combining SIGINT, GEOINT, and OSINT streams into a single Common Operational Picture (COP). A live digital twin, grounded in the battlespace ontology, keeps that picture synchronised with real units, assets and terrain, while the AI OS's multi-domain orchestration coordinates the ISR, cyber and logistics agents acting on it into one deconflicted plan — from commander's intent to C2 tasking.

  • Sensor Fusion: Correlate drone feeds with ground sensor data in real-time.
  • Edge Autonomy: AI agents that function fully offline in comms-denied environments.
  • Battlespace Digital Twin: Maintain a live, ontology-grounded model of units, assets and terrain that planning and simulation run against.
  • C2 & Multi-Domain Orchestration: The AI OS turns commander's intent into deconflicted tasking across ISR, cyber and logistics agents.
Tactical Operations Map

Defence Departments & Organisations

Modernise the backbone of national security. From logistics to personnel management, the AI OS streamlines bureaucracy — grounded in one ontology of units, assets, and personnel — without compromising classification levels.

Secure Back-Office

Automate HR and procurement workflows in air-gapped environments.

Legacy Modernization

Wrap legacy mainframes with intelligent API layers and AI agents.

Inter-Agency Coop

Securely share insights between departments without moving raw data.
NATO Nations
Data Driven NATO

NATO

NATO's 2025 Data Strategy and 2024 AI Strategy converge on a unified vision: by 2030, quality data and AI adoption will enhance interoperability and accelerate capability development across the Alliance.

Data & AI Integration:

  • Quality Data as Foundation: AI-ready, trusted data without unintended bias is prerequisite for secure, reliable AI systems
  • AI Adoption: Accelerate AI use cases across NATO Enterprise adhering to Principles of Responsible Use (Lawfulness, Accountability, Explainability, Reliability, Governability, Bias Mitigation)
  • Interoperable Capabilities: Nations manage data domains whilst AI systems operate seamlessly across coalition boundaries

Enabling Infrastructure:

  • NATO Digital Backbone and ADSE enable federated data ecosystems
  • Testing, Evaluation, Validation facilities determine safe AI deployment under operational conditions
  • Workforce development in data literacy and AI talent to support human-machine teaming

Data Quality:

The Alliance's Data Quality Framework (August 2025) puts a name to what "AI-ready" has to mean before an analytical tool can be trusted: seven measurable dimensions — accuracy, completeness, consistency, uniqueness, timeliness, validity and granularity — assessed with provenance and lineage, so fitness for a particular use can be argued rather than assumed.

Those are properties of a data platform, not of a model. Ontology-based entity resolution is how consistency and uniqueness stop being a reporting problem; continuous fusion is how timeliness survives contact with live feeds; data governance is where lineage, validity rules and classification live — and every fused value keeps a trace back to its originating source and timestamp. See AI-ready data for how that is put together.

Data-Centric Security:

The Alliance is moving protection from the network to the data itself. Under STANAG 4774 a confidentiality label is expressed as machine-readable metadata, and under STANAG 4778 that label is cryptographically bound to the data it describes — so classification and national caveats travel with an object across domains, coalitions and clouds, and access is decided by policy against the label rather than by which network someone happens to be on.

That is the same principle this platform is built on: meaning and classification live with the data in the ontology, access is decided per request against policy and identity — including for AI agents — and every decision leaves an auditable record. It is what makes an air-gapped enclave and a shared coalition data space two settings of one model rather than two different systems.

Secure Agentic AI

Deploy autonomous agents that operate across coalition boundaries and C2 structures, coordinated through governed multi-agent orchestration, with strict identity management and policy enforcement.

Data Mesh & Products

Empower each nation to manage their own data domains while publishing standardised, high-quality data products for alliance-wide consumption.

NATO Digital Backbone & ADSE

Integrated infrastructure enabling the Alliance Data Sharing Ecosystem—federated discovery, access, and collaborative data exploitation across all member nations with standardised NATO metadata and modern interoperability standards.
Industrial Base

Defence Suppliers

For the Defence Industrial Base (DIB), protecting intellectual property and supply chain data is as critical as the hardware itself. Secure your R&D and manufacturing data with on-premise AI that accelerates innovation without risking leaks.

Ensure compliance defence acquisition regulations by keeping your AI infrastructure fully sovereign and auditable.

Defence Supply Chain
100% European Sovereignty

Your Data, Your AI, Your Control

Deploy the Scrydon platform where it makes sense for you — from air-gapped environments to public cloud — with sovereignty, compliance, and auditability built in.

Air Gapped

  • No external network paths
  • Offline signed updates
  • Strict audit trails

On Premise

  • Runs in your datacenter
  • Identity-integrated & compliant
  • Full operational control

European Cloud

  • EU data residency
  • GDPR-first architecture
  • Managed sovereign services

Confidential Compute

  • TEE-protected workloads
  • Encrypted memory & attestations
  • Secure ML inference

Public Cloud

  • Multi-cloud compatible
  • Policy-driven data controls
  • Hybrid & burst-ready

No data leaves your jurisdiction. No black-box AI. No compromises on control.

This is sovereignty by design.

The platform behind this

What these outcomes actually run on

Everything above is delivered by one platform, deployable on disconnected networks and inside your own accreditation boundary. For the architects and engineers evaluating it, these are the pieces that matter.

See the full architectureRead the documentation
FAQ

Frequently asked questions

What is sovereign defence AI, and why does air-gapped deployment matter?+
Sovereign defence AI keeps your models, data and inference entirely under national or allied control, with no dependency on foreign-operated cloud services. Our platform is European-native and runs anywhere on the spectrum from fully air-gapped, on-premise environments to sovereign cloud. Air-gapped deployment matters because classified intelligence, operational plans and mission data must never traverse public networks or reside where a third-party operator could access them.
Can the platform run fully air-gapped on disconnected or tactical networks?+
Yes. The platform is designed to operate with no internet connectivity, including at the tactical edge on disconnected or intermittently connected networks. Open-weight models are served locally via vLLM so inference happens entirely inside your enclave, and updates can be delivered through controlled, offline transfer. This lets forward units run agentic AI and analytics even when reach-back to central systems is unavailable.
How does the platform support NATO interoperability and allied data sharing?+
We build on open standards and an ontology-based data model so that information can be exchanged across coalition partners without bespoke point-to-point integrations. Federated identity and Data Spaces let allied organisations share specific datasets under granular, policy-driven access controls while each party retains sovereignty over its own data. This supports interoperable workflows between national systems rather than locking you into a single proprietary stack.
How does AI-based data fusion work during missions?+
An ontology unifies heterogeneous sources — sensor feeds, intelligence reports, geospatial layers and logistics data — into a shared semantic model that both analysts and AI agents can reason over. Agentic AI can then correlate signals across those sources in near real time to surface threats, track entities and recommend courses of action. Because data fusion happens against governed, attributed data, outputs remain explainable and traceable back to their origin.
We have run AI pilots and POCs — how do we move to operational, organisation-wide AI?+
Many defence organisations have proven value in isolated pilots but stall when moving to production because of security, governance and integration gaps. Our AI OS provides the organisational foundation — sovereign deployment, federated identity, audit and a shared data ontology — so successful experiments can scale into accredited, operational capability across units. Rather than rebuilding each use case, you industrialise them on common, governed infrastructure that meets defence-grade assurance requirements.
How are AI agents governed, attributed and audited?+
Every AI agent operates under its own federated identity within a zero-trust model, so its permissions, data access and actions are scoped and attributable to a specific entity. All activity — prompts, tool calls, data reads and outputs — is captured in a complete, tamper-evident audit trail as part of our AI governance controls. This means you can demonstrate exactly what an agent did, on whose authority and with which data, which is essential for accountability in defence operations.
Does our data stay protected from the cloud or infrastructure operator?+
Yes. When deployed on shared or sovereign-cloud infrastructure, confidential computing using AMD SEV-SNP or Intel TDX keeps data encrypted in use, inside hardware-isolated enclaves. This ensures that even a privileged infrastructure or cloud operator cannot read your data or model state while it is being processed. Combined with air-gapped options for the most sensitive workloads, you control the exposure profile to match each classification level.
Which AI models can we use — frontier or open-weight on-premise?+
The platform is model-agnostic. You can connect to frontier models where that is appropriate and permitted, or run open-weight models entirely on-premise via vLLM for classified and disconnected environments. This lets you match each workload to the right model on cost, capability and sovereignty grounds, and avoids lock-in to any single vendor as the model landscape evolves.
Can agentic AI coordinate multiple specialised agents across domains into one plan?+
Yes. A governed orchestration layer sits above individual ISR, cyber, logistics and fires agents, sequencing their hand-offs and resolving conflicting recommendations into a single deconflicted course of action for command review. Rather than staff manually reconciling outputs from separate point solutions, the orchestration layer does that coordination under the same identity and audit controls as any individual agent.
Does the platform support a live digital twin of the battlespace or mission environment?+
Yes. The shared ontology underpins a continuously updated digital twin of units, assets, sensors and terrain, so planning and simulation run against the current operational picture rather than a static snapshot. AI agents and human planners reason over the same live model, which keeps course-of-action analysis grounded in what is actually happening in theatre.

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