Home
Products
- OmniSIG™
  - OmniSIG™ Sensor
  - OmniSIG™ SDK
- OmniPHY™
  - OmniPHY-5G™
  - OmniPHY™
Use Cases
Resources
Blog
About
- Careers

Reinventing Wireless with Deep Learning

We are pioneering the application of deep learning to wireless.

Why Machine Learning?

Capture Real World Effects

Machine learning (ML) uses a data-driven approach to ensure real-world performance where rigid model-driven approaches can’t.

Intelligent Awareness of RF Activity

ML-driven spectrum sensing enables rapid intelligent awareness and identification of RF devices & activity not previously feasible.

Optimized RAN Physical Layer

ML enables end-to-end optimization of core radio functions, benefitting L1 & system performance beyond traditional approaches.

Deep Learning For Communications

DeepSig is pioneering the use of deep learning to realize state of the art signal processing and radio systems by developing fundamentally new methodologies and software systems for the design and optimization of wireless communications. By creating new tools, algorithms, and approaches for signal processing systems, DeepSig is able to achieve unparalleled results in system performance.

DeepSig _ Reinventing Wireless with Deep Learning-1

AI for Next-Gen Wireless

The performance goals for 5G are ambitious, impressive, and will be world-changing. Achieving them is also a significant challenge, and as the world races to develop, test, and deploy 5G technology, existing approaches using traditional design methodologies are starting to show some of their limits.

Software Products Optimized from
End-to-End

Our process for creating learned signal processing systems enables us to use a common core software architecture for a range of different applications while still customizing and optimizing model performance for specific application and deployment requirements.