Avigilon Signs Definitive Agreement to Acquire Video Analytics Company VideoIQ

Date: 02/01/2014 - View(s): 3619 times

VANCOUVER, CANADA – December 31, 2013 – Avigilon Corporation (“Avigilon”) (TSX: AVO), a leader in high-definition (HD) surveillance solutions, today announced it has signed a definitive agreement to acquire the video analytics company VideoIQ, Inc. (“VideoIQ”) for cash consideration of US$32 million. The transaction is expected to close in early January 2014.

Founded in 2006, VideoIQ has grown to become a leader in real-time intelligent video analytics solutions for security and business intelligence applications. VideoIQ has a developed portfolio of video analytics intellectual property, with 23 patents granted or pending, trade secrets and know-how. Headquartered in Billerica, MA, its highly skilled and experienced workforce will extend Avigilon’s growing team. VideoIQ’s proprietary technology includes live detection, event verification and instant notification, and self-learning capabilities.  

“VideoIQ’s analytics solution complements Avigilon’s innovative line of products,” said Alexander Fernandes, president and CEO of Avigilon. “The acquisition will give us sophisticated, commercially proven analytics technology supported by one of the leading analytics development teams in the industry. VideoIQ is transforming the future of intelligent surveillance and I am pleased to welcome the team to Avigilon.” 

VideoIQ has approximately 30 employees and a diversified, blue-chip customer base in multiple industries. 

“We believe there is an opportunity to increase the sales of both VideoIQ and Avigilon surveillance systems in the near term by bringing VideoIQ’s existing products into our established global distribution channels,” Mr. Fernandes added. “Over time, as we integrate VideoIQ’s technology into the Avigilon system, we will expand our end-to-end high-definition surveillance solutions to include robust analytics capabilities, giving end users the ability to prevent crime proactively and more effectively analyze large amounts of data.”