Sightwise provides a modular software platform that enables manufacturing companies to enhance visual quality assurance using synthetic data. This end-to-end machine vision approach overcomes real-world data limitations to build robust inspection algorithms quickly. The platform manages the entire AI application lifecycle, from synthetic data generation via CAD models to deployment and MLOps.
Funding
Funding not disclosed
Founders
Product
Problem
Traditional machine vision systems for quality assurance in manufacturing often struggle with detecting rare defects, adapting to varying environmental conditions, and require extensive real-world data for training, leading to high costs and long development cycles. Manual visual inspections are also prone to human error and inconsistencies.
Solution
Sightwise provides a modular software platform that leverages synthetic data to create tailored machine vision applications for industrial quality assurance. The platform, called SightHub, enables manufacturing companies to generate custom datasets from CAD models, define defect classes, and simulate various inspection parameters such as lighting and texture. This approach overcomes the limitations of traditional AI by closing the data gap and enabling the development of robust inspection algorithms that can detect even rare defects under varying conditions. The platform also offers a no-code editor for building complex applications and various deployment options, including cloud, on-premise, and edge computing.
Target Audience
Sightwise targets manufacturing companies in the automotive, metal, plastics, and logistics industries that require automated visual quality assurance solutions to improve product quality, reduce costs, and increase efficiency.
Features
- Synthetic data generation from CAD models with customizable defect parameters, lighting, and textures
- Automated label generation for rapid AI model training
- No-code application builder for creating complex, multi-model inspection workflows
- Support for standard communication interfaces such as OPC-UA and GenICam for easy hardware integration
- Flexible deployment options, including cloud API, Docker containers, and edge software (SightEdge)
- Integrated ML-Ops tools for continuous model improvement and governance
- Defect analysis tools with spatially-resolved visualizations and trend monitoring for predictive maintenance
- Options for both "Syn AI" (Sightwise manages the application lifecycle) and "Syn Trainer" (customer manages the application lifecycle)