Our Products


Three Ships

"The appearance of U.S. Department of Defense (DoD) visual information does not imply or constitute DoD endorsement."

AI-EAPM

Our team developed an AI-based energy analytics for predictive maintenance (AI-EAPM) capability to localize and predict hard fault activity of a power plant and supporting systems on a ship. The ship carried over 30,000 sensors across the equipment without a process of aggregating and analyzing the data effectively.

For the Power Plant Activity Summarization and Hard Fault Classification project, we exceeded the stretch goal of 80% hard fault classification with greater than 90% accuracy and 90% confidence across all ship systems. We showed that prediction of hard faults at least three (3) hours in the future is feasible. We also summarized and compressed ship activity more than 1700 times across all systems with historical visualization.


U.S. Jet

"The appearance of U.S. Department of Defense (DoD) visual information does not imply or constitute DoD endorsement."

AI-SCI

Our team developed a Supply Chain Intelligence (SCI) to predict the supply state of an organization's parts worldwide six (6) months in the future. It quickly analyzed pre-cursors to problems, understood why, and showed future trends with minimal effort.

For this project, we created a database of parts, suppliers, weapons systems and maintenance in a cloud environment that exceeded the target (2 months) and stretch goal (4 months) with a 6-month prediction capability. Demonstrated accurate (86% of the time) prediction 6-months out into the future.