Manufacturing
Connected plants, reliable data and AI that improves yield and uptime
Solutions › By Industry › Manufacturing
Manufacturers sit on more data than almost any other industry: machine sensors, ERP transactions, quality checks, maintenance logs and supplier records. Most of it is never joined together, so decisions about production, inventory and maintenance are still made on last week's spreadsheet.
We help manufacturers bring plant, ERP and supply chain data into one governed platform, and then put it to work: predictive maintenance, demand forecasting, quality analytics and automated reporting. Our engineering background, including early careers in mechanical engineering operations and maintenance, means we understand the shop floor as well as the data.
Challenges we see
- Unplanned downtime with no early warning
- Production and ERP data in separate silos
- Manual quality and compliance reporting
- Inventory tied up because forecasts are guesswork
- Skilled data and AI engineers hard to hire outside metro hubs
Technologies we use
- Databricks
- Azure IoT
- AWS
- PySpark
- Power BI
- Python
- SAP integration
What we offer manufacturing companies
Plant data platform
Ingest sensor, PLC and ERP data into a lakehouse with quality checks and lineage.
Predictive maintenance
Models that flag equipment likely to fail, with explainable reasons.
Demand and inventory forecasting
Forecasts that reduce stock-outs and excess inventory.
Quality and compliance reporting
Automated dashboards replacing manual month-end compilation.
Engineering talent
Data engineers and analysts who understand manufacturing, permanent or contract.
Common questions
Can you connect to our machines?
Yes, through OPC-UA, historians, PLC gateways or IoT hubs, depending on what you already have.
Do we need to replace our ERP?
No. We integrate with SAP, Oracle, Dynamics and others as they are.
Where do we start?
Usually with one line or one plant, one clear outcome such as downtime, and a 10 to 12 week pilot.
Working in manufacturing?
Tell us your biggest data or hiring problem and we will say how we would approach it.