High Performance AI.

Address industrial challenges and improve performance of critical applications 8-10x by deploying AI/ML systems at the edge. Get Started

Testimonials

What Customers & Partners Say
"SiMa.ai is the clear leader in bringing computer vision intelligence to any device in the edge market through its remarkable fusion of hardware and software innovation."

Maulik Upala

Director of AI Practice at Lanner Electronics

Industrial Applications

Smart Factory Anomoly Detection Measurement Analysis Misalignment Detection Predictive Maintenance Inspection and Quality Control

Smart Factory

Transform your factory into a seamless, intelligent ecosystem by integrating advanced machine learning algorithms directly into your production processes. Enable real-time optimization, predictive insights, and adaptive workflows, and operate at peak efficiency.

Why SiMa.ai for Industrial Edge ML

Blazing-Fast Performance

Run complete applications on SiMa.ai MLSoC® with higher performance, less power and higher accuracy.

Sensor Fusion

Increase contextual awareness, accuracy, and reliability by leveraging the MLSoC® heterogeneous compute with multiple sensor inputs.

Privacy and Security

Protect your sensitive data and IP with authentication and encryption capabilities at the edge.

Integrated secure boot, Arm TrustZone, secure communication, and data security.

Simplify ML on the Edge

Run the complete application on a single chip.

Process complex applications with multiple concurrent ML models.

Support legacy and future ML applications on highly integrated hardware and software that optimizes application performance with lower TCO.

Concurrent ML

Simplify development by running multiple independent models and sensors concurrently.

Partition workload pipelines across heterogeneous compute to achieve optimized accuracy and performance.

SiMa.ai Models for Industrial

Applications

  • Visual Inspection
  • Defect Detection
  • Counting
  • Robotics

Use Cases

  • Object Detection
  • Object Tracking
  • Instance Segmentation

Models

  • CenterNet
  • YoloV8
  • YoloV5
  • YoloV7
  • FasterRCNN
View all our models on GitHub