Decades of engineering data, put to work.
Equipment makers and process industries sit on decades of product, service and operating data. Most of it is spread across systems that disagree. Put it in order, and AI can help service, engineering and sales work faster, with fewer errors.
Less drudgery, better decisions.
Service and aftermarket
The right parts and service kits for a machine, found in seconds by customers or technicians.
Engineering data
Datasheets, drawings and performance curves read automatically, and options compared on one basis.
Operations
Sensor and process data turned into early warnings and better decisions.
Expert knowledge
What sits in manuals, reports and senior engineers’ heads, made searchable with sources shown.
What makes it hard here.
Master data
Part numbers, product structures and serial numbers that differ between systems must be reconciled first.
Long product lives
A machine sold decades ago still needs the right parts today. The data has to cover the whole installed base.
Connected products
Products with software and connectivity face new cybersecurity requirements under the Cyber Resilience Act.
Private AI
Designs and customer data often cannot go to a public AI service. Private deployment keeps them in your control.
Trust on the floor
Engineers and technicians use tools that respect their expertise and show where an answer came from.
Smaller, more affordable product lines bring many more customers, who expect self-service rather than a site visit. Connected products bring new security obligations. And private AI now makes it practical to use sensitive engineering data without sending it outside.
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