Deep Learning Software Startup DeepSig Raises $5 Million In Series A Funding

Deep Learning Software Startup DeepSig Raises $5 Million In Series A Funding

by NeoTech Post

DeepSig, a deep learning software provider for 5G, IoT, and security, raised $5 million in a Series A financing round, bringing the company’s total raised to date to over $8.5 million. 

Leawood Venture Capital led the funding round with participation from Scout Ventures, Blu Venture Investors, and Lockheed Martin Ventures.

According to the company, the additional funding will accelerate its AI and machine learning (ML) software development and deployment to improve performance and security while reducing power consumption and cost in 5G and other wireless systems.

The DeepSig software replaces old wireless algorithms with machine learning in wireless communications and sensing systems. 

DeepSig AI offerings include OmniSIG and OmniPHY. OmniSIG product provides visibility into wireless spectrum activity faster than current technology to find interference, wireless/cyber threats, and anomalies. OmniPHY replaces key conventional baseband signal processing technology with machine learning to dramatically improve system performance.

In security and defense markets, OmniSIG detects and classifies wireless signals faster than convention techniques allowing detection of wireless cyber intrusions or threatening forces. OmniSIG has been deployed both at the network edge and in cloud infrastructure from Microsoft Azure and Amazon Web Services and can be trained to recognize new signals in a matter of hours versus weeks of engineering needed for current technology.

“The advanced technology developed by DeepSig can optimize communications within a wide spectrum environment,” said Chris Moran, vice president and general manager of Lockheed Martin Ventures.

“Applying deep learning and artificial intelligence to the application of real-time signal processing is an impressive capability. We are pleased to be a part of this endeavor and work to integrate the software into programs.”

Image Credit: DeepSig