On-Demand Webcast
Exclusive Manufacturing AI Demos: From Safety to Market Prediction
Closing the Manufacturing Performance Gap
World-class manufacturers operate at 85%+ OEE. Most plants achieve 60-70%. That 15-point gap translates to 17% lost productivity.
At the same time, manufacturers face mounting pressure to improve safety outcomes, reduce unplanned downtime, accelerate quality control, and bring products to market faster — all while controlling costs.
We Build More Than Data Platforms. Let Us Show You What Else We've Built for Manufacturing.
While you know Acuvate for Microsoft Fabric and enterprise data solutions, we’ve been developing production-grade AI capabilities for manufacturing that address some of your toughest operational challenges.
What We'll Demonstrate: Manufacturing AI Solutions
1. HSSE Safety Solution Using LiDAR + AI-Machine Vision
Real-time monitoring preventing personnel from entering hazardous zones on the shop floor. LiDAR-based systems reduce fatal incidents by 90% compared to camera-only approaches.
2. Predictive Maintenance to Minimize Downtime
AI models forecasting equipment failures before they occur — reducing unplanned downtime by 50% and maintenance costs by 10-40%. Typical ROI payback: 12-18 months.
3. Improving OEE Across Quality, Performance & Availability
Integrated approach addressing all three OEE components simultaneously. Manufacturers moving from 60-70% to 85%+ levels see 17% productivity gains.
4. AI-Powered Product Quality Inspection
Machine vision detecting defects at production speed — scratches, dimensional issues, color variations. Systems operate continuously without fatigue, identifying flaws human inspectors miss.
5. Automated Technical Drawing Compliance
AI accelerating drawing review from hours to minutes while automatically flagging specification errors. Reduces engineering bottlenecks and maintains audit compliance.
6. Market Acceptance Prediction for New Products
AI analyzing historical patterns and market signals to forecast product launch success, enabling data-driven go-to-market decisions.