Quality
AI-assisted quality control identifies defects accurately and consistently.
Improve quality, reduce costs and raise efficiency as factories move from digitalization to intelligence
Unlock AI productivity for manufacturers of every size
AI-assisted quality control identifies defects accurately and consistently.
Predict equipment failures to reduce unplanned downtime and repair costs.
Identify losses across labor, material, equipment and energy to improve utilization.
Detect and warn of workshop risks in real time.
Upload a drawing and automatically extract surface roughness, dimensions and geometric tolerances into structured data ready for MES integration.

Use vibration, acoustic and operating data to evaluate rotating equipment health and detect early signs of failure.

Combine machine vision and large models to detect product and material anomalies continuously and consistently.

Use machine vision and AI to monitor safety compliance, identify violations and issue immediate alerts.

Apply AI to real production challenges in focused vertical scenarios.
Avoid generic AI platforms and target core production processes with measurable outcomes and ROI
Deliver algorithms, compute, software and hardware as a ready-to-use solution that lowers integration and deployment costs
Support independent edge deployment so production data stays on site and meets industrial data security and compliance requirements
Provide on-site consulting and continuous support from solution design through implementation, launch and operations