QSystems AI
QSystems AI provides a unified AI platform for discrete and process manufacturing that connects to existing ERP, MES, SCADA, IoT, quality, and supply chain systems. The platform applies proprietary machine learning across six optimization engines—production planning, inventory, factory floor, machine lifecycle, and quality—all sharing a real-time operational graph. Pre-built connectors for SAP, Siemens, Rockwell, and Ignition enable deployment without rip-and-replace.
- Manufacturing / Industry 4.0
- Artificial Intelligence
- Industrial Automation
- Enterprise Software
- Software Only
- Internet of Things
Funding
Founders
Founder details are not available yet.
Product
Problem
Manufacturers face fragmented operational data across ERP, MES, SCADA, IoT, quality, and supply chain systems, making real-time decision-making difficult. This fragmentation leads to inefficiencies in production planning, inventory management, and machine maintenance, resulting in downtime, stock-outs, and reduced throughput.
Solution
QSystems AI provides a unified AI platform for discrete and process manufacturing that connects to existing enterprise systems and applies proprietary machine learning models. The platform's six optimization engines — production planning, inventory optimization, factory floor optimization, machine lifecycle management, and quality system integration — share a real-time operational graph, enabling signals from one subsystem to instantly update decisions across the entire operation. This allows manufacturers to adapt schedules to demand shifts, predict shortages before they occur, identify bottlenecks dynamically, and forecast machine failures from IoT telemetry. The platform ranks recommendations by financial impact and provides live dashboards that track ROI for every optimization decision.
Target Audience
Primary customers are discrete and process manufacturers in sectors such as automotive, electronics, consumer goods, and industrial equipment who rely on complex ERP, MES, and SCADA ecosystems and need real-time operational optimization.
Features
- Six optimization engines covering production planning, scheduling, inventory, factory floor, machine lifecycle, and quality
- all unified through a real-time operational graph
- Proprietary ML models for discrete and process manufacturing that adapt to demand shifts, machine availability, and operator capacity
- Dynamic reorder points driven by live consumption data to prevent stock-outs and optimize inventory levels
- Predictive maintenance from IoT telemetry that forecasts asset failures before quality or output suffers
- Pre-built connectors for SAP ERP, Microsoft Dynamics 365, Odoo, Siemens Opcenter, Rockwell FactoryTalk, Ignition SCADA, WinCC, AWS IoT Core, MQTT, SAP QM, MasterControl, SAP IBP, Kinaxis, and Oracle SCM with no rip-and-replace required
- Recommendations ranked by financial impact and live ROI dashboards for board-level reporting