Artificial Intelligence (AI) built into each Percēv™ wireless sensing node maximizes battery life and enables predictive maintenance capabilities to be easily deployed on both new and legacy assets. The technology helps users find failures before they occur. Their proven industrial communications and edge processing capabilities create unsurpassed uptime benefits for both operations and maintenance managers.
In 2005, Civionics CTO, Andy Zimmerman Ph.D., and CSO, Jerry Lynch Ph.D. conceived the precursor to today’s Percēv™ technology. For over a decade they have successfully deployed sensors onto civil infrastructure to identify and quantify the health of monitored bridges, buildings, ships and wind turbines. With a decade of insight into the demands of predictive sensing systems in the civil ecosystem, Percēv™ technology found its way to industrial predictive maintenance applications.
In 2016, Gerry Roston, CEO of Civionics brought the company’s first industrial system into an automotive stamping plant where, to date, their solutions have prevented over $2 million of downtime representing a 10X return on investment.
With the acquisition, Zimmerman will be transitioning to Grace and will serve as Chief Technology Officer. He holds advanced degrees in both Civil Engineering and Computer Science and has experience developing artificial intelligence-based hardware, software, and cloud-based solutions.
“Innovation is accelerating in industrial manufacturing, and without pervasive predictive sensing the dreams and goals around Industry 4.0 will largely be unrealized,” said Drew Allen, Director of Global Business Development at Grace. “With Civionics, Grace found an industrially hardened solution and a team of premier thought leaders in this field. It is our plan to build on the company’s success by investing in their core architecture. As with our other solutions, the endgame is simple—prevent problems before they begin.”Tagged with acquisition, Artificial Intelligence, IIoT