AI-assisted engineering
Use engineering assistants for drafting code, finding technical information and preparing documentation. Keep simulation, testing and engineering approval in the workflow.
Make operating data useful through dashboards, analytics and carefully scoped AI-assisted workflows.
Share the operating challenge, environment, interfaces and outcome you need. We help structure the selection around your requirements.
Discuss your requirement →New possibilities
Use engineering assistants for drafting code, finding technical information and preparing documentation. Keep simulation, testing and engineering approval in the workflow.
Connect alarms, trends and asset context to a practical decision. Establish data ownership and quality before layering analytics or generative AI onto the process.
Application examples
These are starting points for project discovery. Scope and equipment are confirmed against the actual site.
ChallengeGenerated configuration or code must be traceable and tested.
ApproachLimit the source set, retain version control and require simulation, peer review and site acceptance.
ChallengeTeams spend time finding the correct manual, revision or procedure.
ApproachDefine approved documents, access rights and citations so answers can be checked against their source.
ChallengeAn anomaly is only useful when it leads to a defensible action.
ApproachValidate sensor quality and baseline behavior, then agree alert thresholds, owners and feedback records.
Prepare an application review

Machine Vision
CognexCombine 3D inspection with AI-assisted image analysis.
Explore technologySee current engineering assistance, inspection and analytics use cases, with manufacturer sources and practical evaluation questions.
Software & AI →