Defense background

MARKETS

ATLAS for Defense

Sovereign AI for Mission-Critical Systems

Purpose-built for defense agencies, prime contractors, and autonomous systems that demand absolute reliability, data sovereignty, and independence from foreign cloud infrastructure. Deterministic performance. On-premises processing. European ownership.

MARKET CONTEXT

Why Defense Needs Different Technology

Defense systems operate under constraints commercial AI solutions never face:

  • Sovereignty is non-negotiable: AI infrastructure cannot depend on foreign clouds or foreign vendors.
  • Reliability is mission-critical: failures cost lives; every decision must be auditable and deterministic.
  • GPS-denial is inevitable: systems must navigate, perceive, and decide when GNSS is jammed or unavailable.
  • Real-time performance is required: autonomous platforms operate at speed; latency variance is a tactical disadvantage.
  • Low power is essential: UAVs, USVs, and robotic systems have limited battery and require power-efficient computation.

ATLAS solves all of this.

European-owned, deterministic, fully sovereign, low power, mission-ready.

ATLAS for Defense

THREE DEFENSE USE CASES

Use Case 1: Hard Real-Time Autonomous Navigation

Objective: Enable UAVs, AGVs, and USVs to navigate in GPS-denied environments with fault tolerance.

Challenge: GPS jamming is common in contested environments. Standard GNSS-dependent navigation fails. You need inertial-only, vision-only, and visual–inertial fusion navigation — all in hard real time.

Solution

Eagle's navigation stack plus the Hephaestus robotics processor enable real-time perception and localization under any condition combination.

Implementation

  • Multi-sensor fusion (inertial + camera + radar).
  • Real-time visual odometry (Eagle vision module).
  • Path planning and obstacle avoidance (Eagle robotics stack).
  • Hephaestus robotics processor for deterministic latency.
  • Automatic failover if any sensor fails.

Features

  • GPS-denial navigation (guaranteed).
  • Sensor fault tolerance (system continues operating).
  • Hard real-time performance (deterministic latency).
  • On-premises edge computation (zero cloud dependency).
  • Full auditability (compliance with defense standards).

Results

  • Guaranteed autonomous operation in contested environments.
  • System continues safely even if multiple sensors fail.
  • Deterministic performance under stress.
  • Full sovereignty (no dependency on foreign tech).

Use Case 2: In-Battlefield Secure Federated AI

Objective: Enable distributed autonomous systems to learn and share intelligence in real-time without central cloud infrastructure.

Challenge: Battlefield networks are fragmented, low-bandwidth, and subject to jamming. You need distributed learning where small AI models run on each platform, with intelligence shared across the network securely.

Solution

Federated learning powered by ATLAS: each platform runs its own Eagle + Hephaestus instance. Local models infer and train independently, while intelligence is shared securely across the network.

Implementation

  • Distributed Eagle libraries on each autonomous platform (UAV, UGV, sensor node).
  • Local model training on Hephaestus hardware (no cloud sync).
  • Secure model averaging across the network (cryptographically protected).
  • Real-time threat detection shared across all platforms.
  • Graceful degradation if any network link fails.

Features

  • Fully distributed architecture (no central server).
  • Secure encryption of model updates.
  • Works on fragmented, low-bandwidth networks.
  • Continues operating even if links fail.
  • Deterministic inference on Hephaestus.

Results

  • Collective intelligence from distributed platforms.
  • No cloud dependency (security advantage).
  • Real-time threat detection network-wide.
  • Resilient to network failures.

Use Case 3: In-Satellite Event-Based Visual Odometry

Objective: Enable satellite-based trajectory estimation and orbital mechanics prediction using event-based camera technology.

Challenge: Satellites need to estimate their position relative to stars, other satellites, and celestial bodies. Traditional cameras generate too much data. Event-based cameras, which only output changes, are far more efficient.

Solution

Eagle's vision module optimized for event-based cameras, combined with the Hephaestus inference processor, provides real-time trajectory calculation with deterministic performance.

Implementation

  • Event-based camera on the satellite (outputs only pixel changes).
  • Real-time visual odometry with Eagle, tracking relative motion to celestial bodies.
  • Hephaestus inference for deterministic trajectory estimation.
  • On-satellite orbital mechanics calculation (no ground station required).
  • Secure communication back to ground with minimal bandwidth.

Features

  • Ultra-low data bandwidth (event-based vs. traditional cameras).
  • Real-time trajectory estimation.
  • Deterministic performance.
  • Minimal power consumption (critical for satellites).
  • Fully autonomous operation.

Results

  • Reduced ground station dependency.
  • More accurate orbital tracking.
  • Lower bandwidth requirements.
  • Energy-efficient computation.

TECHNOLOGY FOR DEFENSE

Why ATLAS Wins for Defense

Sovereignty

  • Every component is under your control.
  • No foreign cloud. No vendor lock-in.
  • You own the technology, data, and models.

Determinism

  • Hephaestus delivers the same latency every time.
  • No thermal throttling, no variance.
  • Mission-critical systems can depend on it.

Resilience & Low Power

  • Fault-tolerant architecture, parallel redundancy.
  • System continues operating even if components fail.
  • 3–5× more efficient than GPU solutions for platforms with limited batteries.

Auditability & Flexibility

  • Deterministic, reproducible calculations.
  • Full compliance with defense audit and compliance standards.
  • Customize to your requirements: inference, training, robotics, all modular.

INTEGRATION WITH DEFENSE ECOSYSTEMS

Works With Your Current Infrastructure

ATLAS tech stack integrates with:

  • Sensor systems: Radar, LIDAR, electro-optical, thermal cameras
  • Communication: Military-standard networks and protocols
  • AI frameworks: PyTorch, TensorFlow (trained off-platform, then deployed)
  • Existing platforms: UAVs, UGVs, USVs, space assets, stationary defense infrastructure

You don't replace everything. You enhance your critical decision-making infrastructure.

COMPLIANCE & SECURITY

Defense-Grade Standards

ATLAS tech stack is designed for defense applications:

  • Cryptographic security: All communications encrypted
  • Deterministic inference: Full traceability of all decisions
  • Hardware isolation: No cloud dependencies, no external interference
  • Fault tolerance: System continues operating under failure
  • Auditability: Complete audit trail of all operations
  • European sovereignty: Technology remains under European control

TARGET DEFENSE ORGANIZATIONS

Who Should Explore ATLAS for Defense?

Prime Defense Contractors Build next-generation autonomous systems with European technology. Differentiate through sovereignty and deterministic performance.

Defense R&D Organizations Research autonomous systems with trustworthy, auditable AI.

NATO Member Nations Develop sovereign AI capability for strategic autonomy.

European Space Agencies & Programs Deploy AI for satellite autonomy and orbital mechanics.

Defense Integrators Add deterministic AI capabilities to your platforms.

NEXT STEPS

Ready to Explore ATLAS for Defense Applications?

Schedule a classified briefing / Request technical specifications / Download defense sector brief / Contact our defense team