Spiideo Acquires Signality Adding AI Data Generation Technology To Its Platform
Spiideo, the global leader in sports video technology, has announced the acquisition of Signality, an optical tracking and sports data generation company.
This landmark acquisition will further cement Spiideo as a trailblazer in sports production, performance analysis and officiating solutions.
The integration of Signality’s automated, high-frequency, real-time data and analytic technology into the Spiideo platform will further fuel Spiideo’s data and AI drive products for media companies, leagues, federations, clubs and schools.
With both companies deeply rooted in cloud technology, Spiideo will be able to roll out Signality’s innovations at scale – across multiple sports, regions and tiers.
“This is a transformative moment for Spiideo and our customers,” said Patrik Olsson, CEO & Co-Founder of Spiideo.
“By integrating Signality’s optical tracking technology with our comprehensive product suite, we are redefining how sports video and data work together.
“This acquisition accelerates our mission to deliver powerful, cloud-based solutions that enhance the way sports are broadcast, analysed and consumed.”
Founded in 2016 during the rise of deep learning, Signality set out with a bold vision to revolutionise sports data collection through artificial intelligence and computer vision.
As part of Spiideo, Signality’s technology is a natural fit, complementing Spiideo mission to deliver AI-driven solutions to sports organisations around the world. By combining Signality’s data expertise with Spiideo’s product, this acquisition will unlock new opportunities for fully automated sports data and video workflows.
“We are thrilled to join Spiideo, a company that shares our vision for innovation and automation in sports technology,” said David Habrman, CEO of Signality.
“Integrating our data generation capabilities with Spiideo’s product will enable organisations to achieve unmatched insights and efficiencies, setting a new standard for the industry.”
