Our story so far
Born out of the Department of Engineering at the University of Cambridge, UK, PervasID is a fast-growing company that designs and supplies next-generation passive RFID tag reading solutions for automating inventory tracking, stock taking and asset management processes. We still maintain strong links with the University and our R&D, product planning and execution teams collectively have over 100 years’ experience in wireless and RFID (radio frequency identification) technologies.
Our award-winning products are changing the face of passive RFID tag detection by delivering almost 100% accuracy over areas of up to 400m2 per system, while providing the flexibility of scaling-up accordingly to cover much larger areas such as industrial warehouses or multistory retail buildings, using multiple systems. All tag readings are taken in real-time and without needing any hand-held equipment, which is prone to human error. No other passive RFID solution on the market today can offer such accuracy, speed or cost effectiveness.
Our unrivalled technology is streamlining operations and automating inventory and asset management processes across a wide range of markets including retail, industrial manufacturing, warehousing & logistics and healthcare. Our passive RFID solutions have been deployed globally and our end users include high-profile retail companies, healthcare establishments, financial organisations, and automotive & aviation manufacturers.
We are based at St Johns Innovation Centre, Cambridge, UK.
- 2018 – Awarded £1.6m in series A investment round from Parkwalk, Cambridge Innovation Capital and Martlet
- 2017 – Launched end-to-end solution for large-scale deployments
- 2016 – Secured seed funding from Cambridge Enterprise Fund & Cambridge Innovation Capital
- 2015 – Completed successful pilot with Iconic retailer in a ~4,000 m2 store spanning multiple levels with approximately 100k plus tagged items
- 2013 – First commercial sales received following series of positive field trials
- 2011 – Spun-out commercially from the University of Cambridge
- 2007 – Fundamental research undertaken by Engineering Department at the University of Cambridge as part of the Intelligent Airport Project (TINA)