Cloud & IoT, our industrial-AI edge

Scale reliably,even on the factory floor.

Cloud infrastructure that holds under load, and industrial AI that runs where the machines are. We connect your sensors, predict failures before they cost you a shift, and put real-time intelligence at the edge, not just in a dashboard nobody reads.

Predictive maintenance
Edge AI
5+ years in industrial AI
From cloud to the edge
Cloud
AWS · Azure · GCP
Pipeline
CI/CD · Kubernetes
IoT
MQTT · AWS IoT
Edge AI
On-device inference
One continuous pipeline, the data doesn't stop at the cloud, and the AI doesn't stop at the dashboard.
Why this is our edge

Industrial AI most agencies only put on a slide, we've shipped it.

This solution is led by engineers with 5+ years building industrial AI and sensor analytics, predictive maintenance, machine learning and AWS IoT deployed in the German nanotech-sensor industry. That's real production experience turning noisy sensor data into decisions that keep machines running.

It's the reason we can take on the hard, physical, latency-sensitive problems a generic dev shop or freelancer simply can't, and why enterprises come to us through the factory floor.

5+ years
in industrial AI & sensor analytics
Predictive
maintenance that prevents downtime
Edge AI
inference running on-site
Sensor → cloud
MQTT & AWS IoT pipelines in production

What we build

A cloud foundation that scales, and the industrial IoT and Edge AI layer that sets us apart.

Cloud that scales

Infrastructure that grows with demand instead of falling over at the worst moment.

AWS, Azure & GCP
Cloud migration, with no downtime
CI/CD pipelines
Docker & Kubernetes
Monitoring & observability

Industrial IoT & Edge AI

Our edge

The hard part almost no agency can genuinely deliver, from the sensor to a running AI model.

Industrial IoT & MQTT
AWS IoT
Sensor analytics
Predictive maintenance
Edge AI & on-device inference
Industrial AI models

Business outcomes

What this actually changes for your operation, the pain, and the result.

Downtime you can’t afford

Predictive maintenance that flags failing equipment before it stops the line, not after.

Scale that buckles under load

Cloud infrastructure that absorbs demand spikes and keeps running when it matters most.

Blind spots on the factory floor

Real-time sensor insight, from the machine to a dashboard your team actually watches.

Latency you can’t send to the cloud

Edge AI that runs inference on-site, decisions in milliseconds, no round-trip.

Where we start

Typical engagements, usually kicked off with a fixed-price Discovery Workshop that de-risks the whole thing.

Migrate legacy infrastructure to the cloud without stopping operations
Connect factory-floor sensors and stream their data to the cloud
Predict equipment failure before it causes unplanned downtime
Run AI models at the edge for real-time, on-site decisions

Have machines, sensors, or scale problems?

Tell us what's breaking, stalling, or costing you downtime, and we'll show you what to instrument, migrate, or predict first. Start with a fixed-price Discovery Workshop.