Geospark Analytics wins USAF innovation research award

Geospark Analytics, based in Herndon, VA, announced on April 16 that it has secured a second research and development contract from the United States Air Force to continue development of Hyperion’s threat and risk assessment APIs for integration into Command, Control, Communication, Intelligence and Networks (C3I&N) systems. Hyperion is a cloud-based platform designed to provide analysts and operators unprecedented situational awareness of political, economic and social risk at country, region and city levels. Geospark Analytics was one of 51 small businesses awarded a contract during the inaugural United States Air Force Pitch Day held in Time Square, New York City.

The Pitch Day program provides a fast track for innovative companies to work with the Air Force. More than 400 companies throughout the country submitted applications to participate in the Pitch Day program to compete for Small Business Innovation Research (SBIR) funding.

Incorporating Hyperion’s APIs into C3I&N systems will directly and immediately increase the global, regional, and local operational understanding for the Air Force utilizing Artificial Intelligence algorithms that automate risk and threat intelligence forecasts. Using data from news, social media, satellites, and other sources, Hyperion’s applied machine learning (ML) models are continually assessing risk and activity at the global, country, region, and city levels in near real-time. Hyperion’s AI analyzes the content of data feeds, calculates stability, makes forecasts, and builds summaries to display and forecast global events that impact stability, threat, activity, and risk levels

“Hyperion’s advanced threat and risk assessment APIs can be a game changer for Air Force operations.” said Geospark Analytics CEO and Founder Omar Balkissoon. “We are excited to be working with the Air Force to bring the power of Hyperion to their networks and global systems helping to ensure the safety and security of airman across the globe.”

Source: Geospark Analytics