Invisible AI offers an on-premise computer vision platform that utilizes NVIDIA-powered AI chipsets and synchronized depth-sensing cameras to analyze human motion and objects on the factory floor in real time. This technology enhances worker productivity and safety by providing actionable insights that reduce downtime and improve operational efficiency in manufacturing environments.
Funding
$21M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
VTFounders
Product
Problem
Manual assembly work in manufacturing environments often lacks real-time data capture and analysis, hindering efforts to optimize worker productivity, ensure safety, and maintain quality standards. Traditional methods of data collection are time-consuming, prone to errors, and fail to provide immediate insights into production bottlenecks or ergonomic risks.
Solution
Invisible AI offers an on-premise computer vision platform that addresses these challenges by digitizing the physical world of manufacturing. The platform uses synchronized depth-sensing cameras and NVIDIA-powered AI chipsets to analyze human motion and object interactions on the factory floor in real time. By processing video and storing data locally, the system provides immediate feedback without requiring cloud connectivity, ensuring data security and minimizing latency. The AI-driven insights enable manufacturers to quickly identify outlier cycles, correct bottlenecks, conduct AI time studies, and proactively protect the workforce through ergonomics monitoring and incident root-cause analysis. Integration with PLC/MES datasets provides a holistic view of plant floor activities, streamlining continuous improvement efforts and maximizing overall labor effectiveness.
Target Audience
The primary target audience includes manufacturing production teams, continuous improvement teams, and EHS (Environmental Health and Safety) teams within the automotive and aerospace industries.
Features
- Real-time analysis of human motion and object interactions using AI vision sensors
- NVIDIA-powered AI chipset and synchronized depth-sensing cameras for accurate data capture
- On-premise deployment with local video processing and storage (up to 3 months and 2TB per device)
- Integration with PLC/MES systems for a comprehensive view of plant floor activities
- Ergonomics monitoring, forklift tracking, and incident root-cause analysis features for EHS teams
- AI time studies to identify and correct production bottlenecks
- Streamlined search features and 3D video capture for product traceability
- Secure, on-premise solution with no extra bandwidth required