Software Services


Get valuable business insights from images, video and text using machine learning and computer vision OpenVino toolkit.


Developing high-performance IoT solutions using OpenVino toolkit. Deep learning deployment kit, based on convolutional neural networks, combined with cross-platform flexibility and scalability of Intel® hardware architecture, significantly accelerates AI-workloads and assists business owners in real-time data processing, monitoring, and predictive analytics to drive business operations and enhance customer experience.


Increase diagnostics accuracy for early abnormalities detection, reduce unnecessary procedures, improve image processing and health monitoring
Prevent equipment failures, manage assets stock, check assembly faults, control manufacture process
Improve driver’s safety with objects identification, monitor driver’s behavior, manage the fleet or enhance traffic control
Get audience insights with demographic analysis, deliver meaningful visual search results, provide personalized shopping experience
Explore crops wellbeing, control weeds, detect soil moisture or implement robotic-based harvesting
Create secure experience with verified face recognition and video surveillance activity detection

Why Choose Auriga

Recent Projects


Deep Learning Inference

  • Intel CPU
  • Intel FPGA
  • Intel OpenVINO
  • Intel® Movidius™ Neural Compute Stick
  • Intel® Neural Compute Stick 2
  • Intel® Media SDK
  • OpenCV
  • OpenCL

Related Frameworks

  • Google TensorFlow
  • MXNet (Apache)
  • Caffe2
  • Torch


Machine Learning Becomes Easier and Faster with OpenVINO

The most significant progress has been made in computer vision using convolutional neural networks, a class of deep neural networks applied to image analysis.

Neural Networks Application for Small-Scale Tasks

There are quite a few tasks in machine learning when the volume of the input data is small: unusual occurrences modeling, etc

ECG Rhythm Recognition by Deep Convolutional Neural Network

The methods of automatic recognition with increasing accuracy require an increasing amount of tagged data for training and testing models.

Auriga Presents Predictive Maintenance Model at Hilti POC Contest

Hilti POC contests are tech events where selected companies compete in solving real-world engineering and business challenges.

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