Manufacturing
Manufacturers generate constant data from machines, MES, and ERP that seldom comes together in one place. We connect it and build the production analytics, quality monitoring, and supply chain optimization that help plant leaders lift OEE, cut scrap, and plan around supply risk.
What we see most
- ● Machine, MES, and ERP data siloed and hard to combine
- ● OEE, yield, and downtime figures that arrive after the shift has ended
- ● Quality signals in process data that could flag defects before scrap builds
- ● Supply chain disruptions surfacing with little warning
Our approach
On most plant floors, machines, MES, quality systems, and ERP were installed at different times by different vendors, and each does its own job well. The value sits in connecting them. We link the shop floor to the back office, then build the production, quality, and supply chain analytics that plant and operations leaders use to run leaner. The aim is fewer surprises: less unplanned downtime, less scrap, and a clear line of sight from the line to the P&L.
Production analytics
OEE, yield, and quality metrics that travel from the shop floor to the executive dashboard without manual re-keying. We connect machine and MES data so operations can see throughput, downtime, and losses as they happen, rather than in a month-end report.
- ● OEE, throughput, and downtime dashboards
- ● Yield and scrap tracking by line and shift
- ● Machine and MES data integration
Supply chain optimization
Vendor, procurement, and inventory analytics that show cost and risk across a multi-tier supply base. We give sourcing and planning teams the data to negotiate better, hold less, and see disruption coming earlier, with supplier risk scores and lead-time forecasts that update as orders and deliveries land.
- ● Supplier performance and risk scoring
- ● Procurement spend and cost analytics
- ● Inventory and materials planning visibility
Predictive maintenance
Equipment monitoring and failure-prediction models that turn sensor data into fewer unplanned stoppages. We model the signals that precede failures so maintenance is planned around production. We then automate the alerts and work orders, so technicians reach the asset before it stops the line.
- ● Sensor-based equipment monitoring
- ● Failure-prediction and anomaly models
- ● Automated maintenance alerts and work orders
Solutions we bring to Manufacturing
Three pillars, six solutions, each one a stage further along the curve.
Data Quality & Governance
Trusted data you can make decisions on
Learn moreData Engineering & Pipelines
Your data, flowing reliably where it's needed.
Learn moreAnalytics & BI
Dashboards that surface what matters.
Learn morePredictive Analytics & Data Science
Forecasts built on your data and your business reality.
Learn moreIntelligent Automation
Manual processes, automated.
Learn moreAI Agents & Agentic Workflows
AI agents that talk to your tools and act.
Learn moreWhere does your business stand on data and AI today?
Answer 24 yes/no questions in about four minutes. You'll see where you sit on the curve, from Intuition to Autonomy, across six dimensions.
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