Powerful Solutions for Automotive, Aerospace, Advanced Medical Device & Semiconductor Manufacturers
Customers in key industries are realizing significant ROI by accelerating their engineering processes with Viviota
Today’s automobiles and commercial trucks are designed and built with more than 30,000 components. Manufacturers rely on more than 100 micro-controlled units and hundreds of electronic sensors that generate reams of engineering data that must be organized, analyzed and managed to deliver a production vehicle that meets federal regulatory standards.
Viviota helps automotive manufacturers speed analytics cycles for improved time-to-market.
Aerospace and Defense
Aerospace technologies are continually improved to support commercial, military and space aviation advancements. High precision sensors are required to monitor thousands of aircraft parts and components in development and in the field. FAA requirements need to be strictly adhered to.
Viviota’s powerful software lets customers process and analyze enormous data sets in harsh environments, such as wind tunnels, where engineers and scientists work.
Advanced Medical Devices
Medical Devices cover a broad range of applications such as cardiovascular, orthopedics, dentistry, general surgery, radiology, hospital patient room equipment and home healthcare aids must meet stringent manufacturing, clinical and regulatory hurdles. Manufacturers of these products rely on rigorous testing, simulation and analytics in the R&D phase to meet FDA approvals for use.
Viviota Time-to-Insight software helps medical device manufacturers organize and normalize their engineering data across global teams.
As semiconductors are essential to the production of microelectronics, they occupy an indelible place in today’s technology-dominated marketplace. Whether you are a manufacturer or developer of the Internet-of-Things (IoT), semiconductor chipsets and circuitries will be needed to crunch Big Data and exploit Artificial Intelligence (AI).
Viviota tools allow research and development engineers to zoom in on key anomalies and patterns in their data to spot problems and potential innovations before products head to manufacturing.