Solutions
Engineering practices for systems that perceive, understand and act.
Seven practices, one engineering standard. Each covers the full path from sensor to decision, with defined deliverables and validation on your hardware.
S-01
Intelligent Visual Inspection
We engineer inspection systems that look at every part, on every shift, and make consistent pass/fail decisions in the time budget of your line. From optics and lighting to models and reject logic, we design the full loop.
- Automated defect detection
- Surface inspection
- Quality assurance
- Product classification
- Anomaly detection
S-02
Real-Time AI Systems
Some decisions are only valuable if they arrive in milliseconds. We build streaming AI applications with deterministic data paths, from sensor ingest through accelerated inference to the action, and we measure latency end to end.
- Live sensor processing
- Real-time inference
- Streaming data pipelines
- Low-latency decision systems
S-03
Industrial Computer Vision
Factory floors and field sites are not benchmark datasets. We build vision systems that cope with glare, dust, vibration, occlusion and changing product mixes, and we keep them accurate after deployment.
- Object detection
- Instance segmentation
- Multi-camera tracking
- Scene understanding
S-04
Intelligent Robotics
We give robots and automated machines the perception to work in less structured environments, fusing vision, depth and motion sensing into the guidance signals a controller can trust.
- Machine perception
- Sensor fusion
- Robotic guidance
- Autonomous inspection
S-05
Advanced Imaging Systems
We work with instrument and device teams to accelerate image formation, enhancement and AI-assisted visualization. The software runs inside the instrument, alongside the operator.
- Medical imaging
- Scientific imaging
- Image reconstruction
- AI-assisted visualization
S-06
Edge AI Infrastructure
When bandwidth, latency, privacy or uptime rule out the cloud, intelligence has to live at the edge. We select, configure and deploy edge compute that you can run and update with confidence.
- On-device inference
- GPU-accelerated deployment
- Industrial edge systems
- Distributed AI applications
S-07
Custom Industrial Automation
Most plants are not greenfield. We build custom AI applications that connect to existing PLCs, SCADA, MES and equipment, adding perception and decision-making without disrupting what already works.
- End-to-end automation
- Legacy system integration
- Custom AI application development
- Industrial workflow optimization
Engineering consultation
Have a process that needs to see, decide and act?
Tell us about the parts, signals or images you work with. An engineer, not a salesperson, will reply with an initial assessment of feasibility and next steps.