Unplanned downtime
Failures are discovered when they happen, not predicted from telemetry.
Industries
Engineering for Manufacturing & Industrial
Maintenance history, equipment signals and inspection results rarely reach the same production decision. We connect plant data to asset monitoring and quality tools, with edge deployment where shop-floor connectivity is limited.
Talk about your sector
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.
Machine Learning, Vision & MLOps: Forecasting, vision and edge models with the MLOps that keeps them reliable after launch.
Data Engineering & Platform Modernization: Batch and streaming pipelines, lakehouses and migrations off legacy warehouses.
For representative delivery approaches, see Work.
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Challenges
What gets in the way
Quality escapes
Manual and rule-based inspection misses defects and slows lines.
OT and IT divide
Plant data is trapped in historians and PLCs, disconnected from enterprise systems.
Planning on stale data
Production scheduling relies on yesterday's numbers and tribal knowledge.
Aging plant software
MES, quality and maintenance tools are hard to extend and integrate.
Skills gap
Experienced operators retire and their knowledge leaves with them.
Bring the use case. We will bring the engineering point of view.
Solutions
What we build
Predictive maintenance
Models on sensor and maintenance data that predict failures and prioritize work orders.
Explore this serviceComputer vision quality inspection
Inline defect detection and classification with edge deployment.
Explore this servicePlant data platforms
Pipelines from historians, PLCs and MES into governed analytics and digital twin models.
Explore this serviceEdge AI and IoT
On-device inference and telemetry pipelines for plants and field equipment.
Explore this serviceIndustrial software products
Software that ships with equipment: monitoring, configuration, service and customer portals.
Explore this serviceKnowledge assistants for operators
Retrieval-based assistants over manuals, procedures and maintenance history.
Explore this serviceWhere it fits
Typical use cases
- Vibration and temperature-based failure prediction
- Surface and assembly defect detection
- OEE and production analytics dashboards
- Digital twins for lines and assets
- Energy consumption optimization
- Equipment-as-a-service software platforms
FAQ
Questions about Manufacturing & Industrial
Yes. We integrate with common historians, PLC protocols and MES platforms through secure gateways, respecting OT network segregation.
Often not. We start with the data you have, identify gaps and recommend additional instrumentation only where the value is clear.
On edge devices or industrial PCs with fleet management, offline operation and controlled updates.
Yes. Our product engineering teams build monitoring, configuration and service software for industrial equipment makers.
Related services
Capabilities that apply here
Next step
Ready when you are.
Tell us what you are trying to build and we will come back with a point of view, not a pitch.