Markets | Industrial

SiMa.ai in Industrial

Tackle industrial challenges and enhance the performance of critical applications by 8-10x

Applications
Use Cases & Demos
Customer Stories

Predictive Maintenance

How it works:

AI models on edge devices analyze sensor data (vibration, temperature, etc.) from machines to detect early signs of wear or failure.

Benefits:

Reduces unplanned downtime, extends equipment life

Visual Inspection

How it works:

Cameras combined with AI at the edge inspect products for defects in real time.

Benefits:

Increases product quality, reduces scrap rates

Robotics/Cobots

How it works:

Edge AI powers real-time decision-making in robots, allowing them to adapt to changing environments and interact safely with humans.

Benefits:

Increases efficiency, enhances flexibility, improves safety

Inventory Monitoring

How it works:

AI-enabled sensors and cameras track materials and parts, providing instant feedback on inventory levels.

Benefits:

Minimizes shortages or overstocking

Anomaly Detection

How it works:

Edge AI models continuously monitor sensor data (e.g., pressure, current, temperature, acoustic signals) to detect patterns that deviate from normal operating conditions.

Benefits:

Identifies faults, deviations in real-time, for immediate response

Measurement Analysis

How it works:

Edge AI processes data from vision systems, laser scanners, or coordinate measuring machines (CMMs) to assess part dimensions and tolerances during production.

Benefits:

100% in-line inspection and auto correction without slowing production.