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de Jonge

AI for industry
Built like clockwork – designed as a system

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Industrial AI in the data path
de Jonge GmbH brings AI to where it makes the difference: directly into the signal path of your machines. With EdgeBrain™, we bring plug-and-play inline AI between sensor and host – without reinventing existing systems.

EdgeBrain processes data streams in-line in real time and delivers application-specific results with defined latency and reproducible timing. This reduces rejects, increases availability, stabilizes quality and creates transparency – locally, energy-efficiently and industrially.

Offline-first. Hybrid, if necessary
Operation is completely self-sufficient and offline-capable. Where hybrid architectures make sense, we optionally enable a highly secure, bidirectionally encrypted connection via Secure Blocks.

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EdgeBrain™

EdgeBrain is a new class of device: a plug-and-play inline AI module that integrates into existing interfaces between sensor and host and processes data streams in real time.

The technical idea is to provide AI as a deterministic component of the signal path. EdgeBrain handles pre-processing, inference and result preparation directly in the data flow and delivers application-specific outputs with defined latency. The system is designed for stable data paths, reproducible timing and operation under industrial boundary conditions.

Processing runs locally and autonomously – without any cloud constraints. Offline operation is provided; where hybrid architectures are required, EdgeBrain optionally supports a highly secure, bidirectionally encrypted connection via Secure Blocks.

EdgeBrain is provided as a use case package – preconfigured or parameterized by the customer as required: interface setup, model optimization, integration into the existing system chain and personal support.

Built like clockwork. Designed as a system. At The Machine’s Heartbeat.

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Read our use cases from various industries:

Our USPs

New device class: Inline AI in the data path
Real-time evaluation between sensors and host without modifying the existing chain.

Plug-and-play instead of special integration
Standard interfaces, clear integration, fast deployment in the field.

Existing systems remain intact
EdgeBrain works as an intelligent bypass: no new PLC landscape, no forced GPU infrastructure.

Product platform instead of individual solution
Repeatable bundle of hardware, bitstream, model and integration.

Self-sufficient, offline-capable, sovereign
Local inference without cloud constraints; optionally hybrid via highly secure, bidirectionally encrypted secure blocks.

We look forward to your EdgeBrain project
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Services

Smart Analysis

Analysis
Demo
Roadmap

Smart Analysis

Smart Analysis is the pragmatic introduction to embedded AI.
With Smart Analysis, we show you where and how AI creates measurable added value in your sensor technology or process chain – without unnecessary complexity and without cloud dependency.

Analysis: We check products and processes for AI potential: Which sensors provide the decisive signals? Where does the greatest leverage arise?

👉 Result: clear potential analysis with initial use case ideas for your application.

Demo: We demonstrate the first AI functions along your data and process reality.

👉 Result: tangible feasibility analysis – specific to product and process.

Roadmap: We create your roadmap to AI-based value creation and accompany you from proof-of-concept to edge product – transparently, efficiently and cloud-independently.

👉 Result: concrete roadmap with technology and implementation plan.

Make a non-binding inquiry for Smart Analysis now.

Non-binding inquiry

Embedded AI models

Embedded AI models, tailored to your hardware and transparency requirements.
Our models are customized for specific applications and hardware. This includes both the architecture and the criteria for traceability and trust. By optimizing for the target platform, the AI runs quickly and in a resource-saving manner and can be efficiently integrated into existing systems. This reduces development effort and costs and speeds up implementation.

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Quelle: bpk / Bayerische Staatsgemäldesammlungen / Sibylle Forster / Bearbeitung: de Jonge GmbH

In time with the machine

Clean observation becomes a decision:

AI as a master craft