Skip to content

For defense

GenAI and physical AI for Defense

Embedl provides secure, production ready edge generative AI and physical AI deployment for defense organizations. We enable reliable on device inference of LLMs, VLMs, and VLA models on embedded and tactical hardware, ensuring mission critical AI systems operate with low latency, high efficiency, and full traceability in disconnected and bandwidth constrained environments.

Book a demo Explore models

One workflow

Models, Deploy and Hub, built for defense

Optimized models, the toolchain that makes them deployable, and the platform that keeps every step traceable.

Optimized models

We provide hardware validated AI models built from open PyTorch foundations and optimized for specific embedded compute platforms used in defense systems. Each model includes reproducible optimization and compilation recipes, compiled artifacts, and required runtime components. This guarantees that benchmarked results in development can be replicated in operational deployments.

All models are designed to be smaller, faster, and more energy efficient while remaining adaptable through fine tuning for mission specific requirements.

Embedl Deploy

Embedl Deploy provides hardware-specific model conversion, explicit quantization, and compilation workflows for defense AI systems. It transforms PyTorch models into optimized on-device binaries while eliminating common failure points such as unsupported operators, opaque compiler rewrites, and poor quantization behavior.

Defense engineering teams gain a transparent, reproducible, and debuggable path from model development to a validated embedded artifact. This reduces integration risk, accelerates certification cycles, and ensures predictable deployment across secure hardware environments.

Embedl Hub

The Embedl Hub is a secure MLOps platform for edge AI model management, benchmarking, traceability, and cross-team collaboration. It supports the complete compile-to-verify lifecycle, with artifact tracking and documentation required for safety, audit, and regulatory compliance.

The Hub is available as SaaS or a fully on-prem deployment, including support for secure intranet and air gapped environments. Sensitive defense data, models, and device farms remain under full organizational control.

Use cases

Where it runs

Fine-tuned for the jobs edge AI does in defense.

  • Human-machine interaction
  • Multimodal intelligence analysis
  • Tactical field assistance
  • Autonomous vehicle and drone coordination
  • Edge-based reasoning for physical AI platforms
  • On-device decision support
We are impressed by Embedl's technology and expert team. To reach the same results manually wouldn't have fitted in the project timeline for a short project like this.
Joakim Lindén, Technical Specialist Video & Graphics Technology, Saab Aeronautics

Customer story

Saab Aeronautics completed a proof of concept with Embedl

Together with Embedl, Saab Aeronautics evaluated the capacity of existing hardware, to understand what new AI features it could add to existing products in vision and perception.

Using Embedl's SDK, Saab ported a commonly used object-detection network to an FPGA: a few lines of code made it compatible with the target hardware, and several versions with different compression levels were created, all to predefined inference times with minimal loss in accuracy.

Why Embedl

Secure Deployment of AI at the Edge

By combining optimized edge AI models, Embedl Deploy, and the Embedl Hub, we provide a complete end to end solution for defense edge AI deployment. Our focused approach to generative AI and physical AI at the edge reduces operational risk, shortens deployment timelines, and enables defense organizations to field intelligent, autonomous systems with confidence in performance, security, and long term maintainability.