Gradion Edge AI: Stop Prototyping. Start Shipping.

The problem isn't the technology. It's the delivery.

Building a demo on a dev kit is the easy part. The hidden 80% of a successful deployment is what breaks most teams: customizing Yocto board support packages, implementing secure boot, building OTA update infrastructure, optimizing models for constrained hardware, managing a physical fleet in the field for years.

If your embedded ML project is stuck at the prototype phase, you don't need more experimentation. You need a team that has shipped this before.

Proven in the Field: The ARGOS Traffic System

When DataCollect got stuck at 50% detection rate with their ARGOS traffic monitoring sensors on German roads, their original approach hit the wall.
Partnering with Gradion, they migrated to a full NVIDIA Jetson-based edge architecture with on-device AI inference.
Traffic counting accuracy improved from 50% to 95%. Hundreds of sensor units now run in the field - without cloud dependency, without fragility.
That is what production-grade edge AI looks like.

What We Actually Do

Most embedded shops hand you a model and walk away. We stay.

• NVIDIA Jetson Platform
• • Five-plus years of production deployment. We know the hardware, the optimization bottlenecks, and how to extract every drop of performance from constrained devices.
• BSP & Yocto Customization
• • We build and maintain Board Support Packages for your specific hardware - not generic reference designs.
• OTA Update Infrastructure
• • Secure, reliable over-the-air update pipelines for devices in the field. Because your fleet will need updates, and manual access is not a strategy.
• Model Optimization for Edge
• • Quantization, pruning, TensorRT - your algorithm runs fast on the hardware it actually needs to run on.
• Fleet Management & Long-Term Maintenance
• • We monitor, maintain, and evolve your deployed device infrastructure. The product does not end at handover.
• Security Hardening
• • Secure boot, hardware attestation, and field-grade security for devices that operate in exposed environments.

Industries We Accelerate

• Smart City & Traffic Monitoring
• • Radar, lidar, and optical tracking on public infrastructure - real-time, on-device, GDPR-compliant.
• Industrial Inspection & Quality Control
• • Sub-millimeter defect detection at production-line speeds. No cloud round-trip, no latency tolerance.
• Security & Surveillance
• • On-device video analytics that keep sensitive data off the network - by design.
• Defense & Dual-Use
• • Autonomous robotics, drone perception, and off-grid computing for environments where connectivity is never guaranteed.

Why Gradion

We combine deep embedded specialization with the engineering backbone of the NFQ Group - 320 engineers across four continents, ISO 27001:2022 certified, native German-language capability.
Niche embedded shops give you a prototype. Large SIs give you a committee. Gradion gives you a team that has deployed in the field and knows what breaks.

German quality. Asian speed. Production on time.

A Clear Path from Prototype to Fleet

We de-risk your investment through a phased model. You commit to the next step only when the current one delivers value.

1. Step 1 - Architecture Assessment (2–3 Weeks)
2. 1. Our lead architect evaluates your hardware, data, and models. You receive a concrete roadmap, feasibility assessment, and architecture sketch. No surprises downstream.
2. Step 2 - Prototype Sprint (6–10 Weeks)
3. 1. A working, optimized prototype on your target hardware - with a documented path to fleet production.
3. Step 3 - Dedicated Production Team (Ongoing)
4. 1. We scale the deployment, manage OTA updates, and maintain your edge infrastructure. You focus on selling the product.