AI.Reverie Wins AFWERX Phase 1 SBIR Award From U.S. Air Force to Enhance Intelligence-Gathering
Top synthetic data company to advance computer vision technology that keeps soldiers safe
The Defense Department looks to AI.Reverie to accelerate reconnaissance to the speed required in a contingency environment. The computer vision models that power intelligence-
AI.Reverie's synthetic data platform represents a critical breakthrough for computer vision. It resolves the challenges of rare data and expense by automatically generating millions of fully annotated, richly diverse images — quickly and at a low cost. AI.Reverie aims to generate images across the electromagnetic spectrum that will empower soldiers to more accurately identify objects and make life-saving decisions.
"We are excited that the Department of Defense has renewed its investment in our team so we can support more impending missions," said AI.Reverie co-founder and CEO Daeil Kim. "SBIR grants have allowed us to contribute to cutting-edge technology for a meaningful endeavor, which is exactly what we set out to do."
Air Force SBIR 20.1 was the first joint program with the Army, Navy and National Geospatial-Intelligence Agency to provide competitive awards enabling innovative small businesses to explore their technology potential within the Defense Department.
AI.Reverie is a synthetic data platform that trains AI to understand the world. It offers a suite of synthetic data and vision APIs to help businesses across different industries train machine learning algorithms and improve AI applications, along with benchmarking services to measure the impact.
AFWERX is an innovation arm of the U.S. Air Force established in 2017. Its focus is to provide non-traditional innovators the opportunity to solve challenges and increase effectiveness within the Air Force. AFWERX has partnered with the U.S. Air Force SBIR with a start-up approach. They have accelerated timelines and processes to quickly scale innovation within the DoD.
Perrin Lawrence, Head of Communications