Solutions
Five edge application fields — from language models to smart cities, all on the same NeuroVexon platform, all without the cloud.
Visualization – not a production imageLocal LLM Assistant
A language assistant that runs entirely on the device — without a single word ever leaving the hardware.
The problem today
Cloud-based assistants send every request to external servers. For public authorities, law firms, clinics or safety-critical industry this is often a deal-breaker: confidential content must not leave the building — and without an internet connection the assistant stops working.
How Vexon-1 helps
Vexon-1 runs transformer inference directly on the device. The hardware KV-Cache keeps the conversation context on-chip; the sparse engine and adaptive precision keep power consumption low. The language model answers locally — even fully offline.
- Runs fully offline
- GDPR-compliant by design — no data leakage
- Context memory in the on-chip KV-Cache
Why edge: sensitive content stays in-house, answers without network dependency, no recurring cloud costs.
Visualization – not a production imagePredictive Maintenance
Machines report their own condition — through local AI analysis of vibration and acoustics in real time.
The problem today
Unplanned machine downtime costs industry and SMEs money every day. Classic solutions stream sensor data to the cloud — with latency, recurring costs and the open question of where operational data ends up.
How Vexon-1 helps
A Vexon-1 NPU right at the sensor detects anomaly patterns in the vibration and acoustic signal before a bearing or motor fails. Analysis happens in milliseconds on the device — with no cloud connection at all.
- Real-time anomaly detection at the sensor
- No cloud streaming costs
- Operational data stays in the plant
Why edge: millisecond response at the machine, raw data never leaves the plant, operation even without a network.
Vision Inference & Quality Control
Every part on the line is inspected — through image classification directly at the camera.
The problem today
Optical quality control generates huge amounts of imagery. Sending it to the cloud is expensive, slow and a privacy risk — especially when product images reveal manufacturing know-how.
How Vexon-1 helps
Vexon-1 runs image inference directly at the camera: defects are classified, faulty parts flagged instantly — at full line throughput, without ever uploading an image.
- Real-time defect detection on the line
- No upload of sensitive product images
- Energy-efficient via INT8/INT4 inference
Why edge: high throughput, low latency, full sovereignty over production imagery.
Connected Manufacturing
Intelligence where the data is created — right in the production line.
The problem today
Industry 4.0 promises connected, self-optimizing production. In practice it often fails due to cloud dependency: latency, downtime risk and the worry that process data leaves the plant.
How Vexon-1 helps
With Vexon-1, every machine becomes an intelligent node: local analysis of machine and sensor data for autonomous decisions, process optimization and control — in real time, where it happens.
- Autonomous, intelligent nodes on the floor
- Real-time process optimization
- Sovereign data storage in the plant
Why edge: real-time decisions without a cloud round-trip, resilient and data-sovereign.
Smart City & Infrastructure
AI for traffic, energy and safety — locally at the sensor, not in the cloud.
The problem today
Smart city applications often process personal data: cameras, traffic sensors, environmental monitoring. Centralized cloud analysis raises sensitive privacy and sovereignty questions and scales expensively.
How Vexon-1 helps
Vexon-1 analyzes sensor data directly at the node — in the traffic-light pole, in the sensor, at the charging station. Only aggregated results are shared; personal raw data stays local.
- Privacy by design for citizen data
- Low-latency local analysis
- Decentrally scalable without cloud costs
Why edge: personal raw data stays with the municipality, only results are shared — low-latency and scalable.
One platform for every solution
Every solution uses the same NeuroVexon software stack — the same API, interchangeable hardware depth.
Which application fits you?
Tell us about your edge scenario — together we'll see how Vexon-1 fits in.