Three positions on industrial AI. We bet on them long-term.
Technology-roadmap choices are long-term bets. These are ours, for the industrial floor.
Hybrid local + cloud is the optimal answer for industrial AI.
Hybrid edge-cloud wins industrial AI.
A pure-cloud approach hits the data red line; a pure-local one struggles to keep training. Put inference at the edge, training in the cloud, and sync the knowledge base under your control — that is the de facto standard for industrial scenarios in the coming years.
Edge intelligence is the endgame of industrial automation.
Edge is the endgame of industrial automation.
Equipment keeps getting more complex, and single-point PLC control can no longer cover modern process requirements. Every critical tool needs its own local cerebellum, making judgements within low latency.
Knowledge injection matters more than model size.
Knowledge injection beats model size.
In industrial settings, a small model with a high-quality domain knowledge base often beats a general-purpose large model. The model is only the carrier — process priors and engineer experience are the core asset.
Industry 4.0's technical core. Industry 5.0's value proposition.
Technology is not the goal — keeping people at the centre is. We put 4.0's capability into the product and hand 5.0's value to the customer.
- Digitalization
- Connectivity
- Intelligence
- Human-centric
- Sustainable
- Resilient
Vacuum and semiconductor veterans, plus LLM engineers.
Our team combines veterans of the vacuum and semiconductor industries with LLM engineers — focused on turning the judgement of resident engineers into AI agents that every production line can use.
Evaluate a deployment with us.
45 minutes, one engineer, no slides you can't question.
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