Unplanned downtime
Failures are discovered when they happen, not predicted from telemetry.
Industries
Predictive maintenance, quality inspection, digital twins and plant analytics.
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Overview
Manufacturers have spent decades instrumenting plants. The result is a flood of sensor, quality, maintenance and production data that most organizations still analyze in spreadsheets after the fact. The opportunity is to use it in time to prevent downtime, catch defects and plan better.
We work with discrete and process manufacturers, industrial equipment makers and their suppliers on predictive maintenance, quality inspection, plant analytics, digital twins and the software products that increasingly ship with industrial equipment.
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Challenges
Failures are discovered when they happen, not predicted from telemetry.
Manual and rule-based inspection misses defects and slows lines.
Plant data is trapped in historians and PLCs, disconnected from enterprise systems.
Production scheduling relies on yesterday's numbers and tribal knowledge.
MES, quality and maintenance tools are hard to extend and integrate.
Experienced operators retire and their knowledge leaves with them.
Bring the use case. We will bring the engineering point of view.
Solutions
Models on sensor and maintenance data that predict failures and prioritize work orders.
Explore this serviceInline defect detection and classification with edge deployment.
Explore this servicePipelines from historians, PLCs and MES into governed analytics and digital twin models.
Explore this serviceOn-device inference and telemetry pipelines for plants and field equipment.
Explore this serviceSoftware that ships with equipment: monitoring, configuration, service and customer portals.
Explore this serviceRetrieval-based assistants over manuals, procedures and maintenance history.
Explore this serviceWhere it fits
FAQ
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Next step
Tell us what you are trying to build and we will come back with a point of view, not a pitch.