Solutions

Connect machines. Collect data. Create the foundation for industrial intelligence.

Most factories generate enormous amounts of data – in robots, CNC controls, PLCs, sensors, and energy meters – but the data stays locked inside the machines. Without reliable collection and structuring, there is no basis for dashboards, traceability, condition monitoring, or AI.

Structured, real-time production data straight from your PLCs.

The PLC sees almost everything in a production line: machine states, counters, alarms, analog process values, cycle times, recipes. But that picture usually stays locked inside the controller or an isolated HMI – unavailable for OEE, downtime analysis, quality investigations, or AI.

Detect abnormal machine behavior before it becomes downtime.

Unexpected machine failures stop production, and time-based maintenance either comes too late or wastes resources on healthy machines. The signals of degradation are usually in the data – but nobody is watching thousands of data points around the clock.

Secure assistants that work with your production data and knowledge.

Production knowledge is scattered across machine data, alarm logs, maintenance records, manuals, and the heads of experienced engineers. Finding the right information during a breakdown or a quality investigation takes time that production does not have.

Continuous process understanding from live camera streams.

Many production events cannot be captured by a single photo per cycle: manual assembly steps, material flow, safety zone violations, intermittent process deviations. Traditional machine vision looks at one image; understanding a process requires watching it continuously.

Complete visual inspection systems – not just AI models.

Manual visual inspection is slow, subjective, and hard to staff – and classic rule-based vision systems struggle with natural variation in surfaces, materials, and assembly situations. An AI model alone does not solve this: production needs a complete, reliable inspection system.

Add AI to the cameras you already have – no rip-and-replace.

Most factories already have cameras: rule-based vision cameras built into production machines, inspection stations from earlier projects, IP cameras over the lines, CCTV covering halls and logistics areas. Rule-based systems reach their limits with natural variation in surfaces and parts, and nobody can watch every stream – so the installed hardware delivers far less value than it could. Replacing it all for the sake of AI is expensive and usually unnecessary.

Industrial AI running where your machines are.

Cloud-based AI is often not an option in production: latency is too high, bandwidth is too expensive, and sensitive machine data or video cannot leave the factory. Industrial AI needs compute close to the machines – compact, energy-efficient, and reliable.

See your production clearly – in real time and in history.

Even where data exists, it often lives in isolated systems and spreadsheets. Production, maintenance, and management need a shared, live view of machines, lines, and quality – without waiting for end-of-week reports.

Smart glasses as an extension of the digital factory – real-time information and AI assistance while both hands stay free.

Operators, maintenance technicians, and warehouse staff constantly need information – work instructions, machine data, picking lists, documentation – but paper, fixed terminals, and handheld scanners occupy their hands and interrupt the work. The information is in your systems; it just isn't where the work happens.

AI combined with your machines, data, and workflows.

Real production problems rarely fit a standard product. They combine machine data, images, video, documents, and existing systems – and they need a solution that respects your processes, IT policies, and production constraints.