We develop Deep Learning solutions for various business sectors.
Our primary focus — computer vision and recommendation systems.
Check out a sample of real world problems we have solved with machine learning.
This is just the first glimpse — tell us about your task.
Self-driving cars are among the most anticipated trends of near future.
And not just regular cars — same scene understanding and decision making technologies are also applicable in warehouse automation, agricultural machinery and other areas.
High-quality recommendations is a proven tool to improve conversion rate. Giants like Netflix and Amazon have confirmed that fact. From e-commerce and streaming services to news portals, a good recommendation systems can significantly increase user engagement.
Every day the world generates a huge amount of photo and video information.
Convolutional neural networks are capable of solving problems like image segmentation, classification, object detection and more.
Machine learning acceptance is rapidly growing in medical informatics and health care.
Deep Learning is widely used for organs segmentation within images, tumor detection, recovering 3D structure from a series of 2D images, and so on.
At Deep Systems we have managed to build team of qualified professionals.
Expertise and competence of our staff are key for developing innovative enterprise solutions. We take on the entire development cycle: from R&D to production deployment.
Meet the team
Our R&D team of PhDs and top university graduates is always on the bleeding edge of machine learning research, especially when it comes to Deep Learning.
Strong mathematical background is what makes us capable of solving problems that look impossible at first glance.
Our engineers understand business requirements and not only develop flexible and efficient end-to-end solutions, but also know how to complete integration with existing enterprise operations.
Our expertise in software design, development and deployment is the result of many successful projects.
With sufficient amount of data neural networks show superhuman performance. Every example in training data improves results.
It's Deep Learning revolution, started in 2012.