Integrated Intelligent Applications (IA)

Grey Street Systems (GSS) elevates information delivery, exchange, communications and decision-making through customized and/or integrated systems that translate into scalable, responsive, modular system designs for traditional display systems, heads-up-displays (HUD) and augmented reality (AR) projection interfaces utilizing ML and/or AI engines to rapidly assemble relevant, real-time, situation-critical information for the wearer. GSS solutions range from 1) novel and proven information delivery, capture and management applications to be integrated into customers’ existing hardware and optics; or 2) the same proven applications and GSS partner body worn hardware and optics. GSS’s augmented reality applications are designed on the premise of providing rapid interaction between users and systems to be used in training, activity and performance replay, support material delivery, user and system health and performance condition, user annotation and reporting, emergency medicine/Telehealth and more. Within other industries, GSS’ IA has been prototyped, tested and used extensively in the field by its intended customer-bases. In the amateur and professional sports industry alone, in 2019, GSS’s real-time, data systems saw more than 1.2 million engagements occur over a five (5) month time period across two thousand (2,000) distributed wearable displays being utilized in contact sports. Through these engagements, GSS’ IA provided its users with rapid, real time, actionable insights into performance and execution during training initiatives. These engagements occurred across thirty-three (33) states and three (3) time zones. In the medical and aerospace industries, GSS’s systems are being piloted by major medical providers/hospital systems and aerospace teams at various space exploration companies to provide the same level of distributed, real-time, data assembly for staff training and to aid in executing job functions in an accelerated and enhanced manner – providing better results in less time.