AI & Automation for Manufacturing & Production
Unplanned downtime costs manufacturers an estimated $50 billion per year, with the average facility experiencing 800 hours of equipment downtime annually.
What's holding manufacturing businesses back
Manufacturing profitability depends on keeping machines running, minimizing waste, and delivering on time. Yet most small and mid-size manufacturers are managing production with whiteboards, spreadsheets, and tribal knowledge. Data-driven automation brings visibility to the shop floor, predicts problems before they cause downtime, and turns operational data into actionable intelligence.
Common Pain Points
- Production downtime from equipment failures costs thousands per hour and is rarely predicted in advance
- Quality control is inconsistent, defects are caught at final inspection instead of during production
- Inventory of raw materials is either overstocked (tying up cash) or understocked (halting production)
- Shop floor data lives in operator logbooks and is never analyzed systematically
- Quoting new jobs is slow because estimators lack easy access to historical cost data from similar runs
How we help manufacturing businesses
Three ways we apply technology to solve real problems in your industry.
AI Solutions
Predictive maintenance using sensor data and vibration analysis to prevent unplanned downtime
Learn moreProcess Automation
Production order tracking from sales order through shipping with status updates at each stage
Learn moreOptimization & Analytics
OEE dashboard tracking availability, performance, and quality for every machine and production line
Learn more