InoWare provides AI-powered software sensors for manufacturing, including InOEE for real-time production efficiency tracking and InoTrack for 3D material tracking. Their platform uses computer vision and AI to monitor product location and identify production losses, helping manufacturers increase machine efficiency.
Funding
Funding not disclosed
Founders
Product
Problem
Many manufacturing plants struggle with inefficient production processes due to a lack of real-time visibility into machine performance and material flow. Traditional methods of data collection are often costly, difficult to implement, and provide limited insights. This lack of comprehensive data hinders process optimization and leads to production losses.
Solution
InovecTech provides AI-powered "virtual sensors" that use existing camera footage to monitor and analyze production processes in real-time. Their technology creates a digital twin of the manufacturing process, converting visual data into actionable insights without requiring additional hardware or complex integrations. The platform offers two primary products: InOEE, which tracks production effectiveness and losses, and InoWare, a digital twin for internal logistics that monitors product location. By leveraging computer vision and AI on the edge, InovecTech enables manufacturers to optimize operations, reduce waste, and improve overall equipment effectiveness (OEE).
Target Audience
InovecTech targets manufacturing plants, including heavy industrial plants and SMEs, seeking to improve operational efficiency, optimize internal logistics, and accelerate their digital transformation initiatives.
Features
- **Virtual Sensors:** AI-powered sensors that use existing camera feeds to monitor production processes.
- **InOEE:** Real-time tracking of Overall Equipment Effectiveness (OEE) and production losses.
- **InoWare:** Digital twin for internal logistics, providing real-time location tracking of materials.
- **Dynamic Virtual Sensors (DVS):** AI models that dynamically adapt over time, improving reliability and accuracy.
- **AI on the Edge:** Processing of data at the edge, reducing latency and bandwidth requirements.
- **Integration with Existing Systems:** Seamless integration with existing MES, BI, and PLM systems.
- **Rapid Deployment:** Quick installation and setup, often within minutes, using existing camera infrastructure.
- **Data Reliability:** Image-backed data that can be easily validated, ensuring data accuracy and trustworthiness.