TurbineOne Wins Air Force Deal to Develop New Machine Learning Capabilities

San Franciso-headquartered TurbineOne announced that it has been awarded a Small Business Innovation Research contract to advance its machine learning capabilities and deploy its software with the Air Force. Specifically, the Air Force Research Laboratory and AFWERX were the offices within the service to make the award, TurbineOne said Friday.

In a statement, TurbineOne said that it has teamed with the Air Force Special Operations Command and AFWERX to deliver an unprecedented level of situational awareness. The company revealed that the technology currently being developed through the collaboration is called AutoML, a feature within its proprietary Frontline Perception System.

Ian Kalin, TurbineOne’s CEO, described AutoML as revolutionary software technology that will capitalize on years of investments in machine learning by enabling operators to synchronize real-world data with the training data used to create the original algorithms. He explained that machine learning can prove critically valuable to America’s warfighters if it can be carried along with their deployed kits.

It was explained that AutoML, when it becomes operationally ready, will enable operators to make changes to machine-learning models in the field without having to code and without an internet connection. The new ML models can be immediately deployed to cameras, sensors, autonomous vehicles, and drones on the battlefield or in other crisis situations to strengthen situational awareness.

TurbineOne said its contract with the USAF is a Phase-II type, which generally authorizes awards up to $750,000. The company added that it plans to successfully deliver to its customer and end-users within one year of the contract award.