VisualCortex – the cloud-based Video Intelligence Platform, connecting computer vision’s potential to real-world business outcomes – has officially launched today worldwide. VisualCortex is headquartered in Sydney, Australia.
Watch the VisualCortex overview video here: visualcortex.com
Unlike camera-side or point solutions – which typically focus on one video analytics challenge per deployment – VisualCortex delivers a highly performant enterprise-grade platform to facilitate any real-time or historical video analytics use case. Built to work with both streaming and offline footage, the VisualCortex platform applies machine learning models to video content, enabling organizations to produce analyzable data streams about defined objects and actions. Insights from that data can then be embedded straight into customers’ traditional data infrastructure.
VisualCortex is backed by its Chairman and Co-Founder, Tony Nicol, who sold Australia’s largest data-focused cloud consultancy, Servian, to US-based professional services company, Cognizant, in January 2021. Nicol founded Servian in 2008, where he remained CEO of the 900-person-strong enterprise transformation business until June 2021.
Utilizing experiences building some of the largest and most complex enterprise data platforms, Nicol said that VisualCortex’s purpose was to enable any complex computer vision use case without compromising robustness and reliability.
“We built VisualCortex to overcome the limitations of single-use-case solutions, without sacrificing the stability, security, scalability, flexibility and governance that naturally occurs in homegrown point solutions,” said Nicol.
Commenting on VisualCortex’s launch, Nicol said the company’s mission was to enable any organization to become a vision aware enterprise, allowing them to solve commercially valuable challenges with video-based insights at scale.
“For the first time, we’re making video data truly actionable throughout the enterprise,” said Nicol. “Up until now, computer vision technology has struggled to make commercial sense and generate impactful business value. They’ve also been prohibitively hard-to-use and expensive in terms of cost and time-to-value, hampering the ability to be harnessed by anyone other than machine learning experts.
“VisualCortex’s Video Intelligence Platform removes those barriers and provides an enterprise-grade approach and control to computer vision initiatives,” said Nicol. “We’re enabling any business unit to quickly and easily build and implement a video analytics use case to facilitate future ways of working, – no matter the nature of your business, hardware or video content.”
CEO and Co-Founder, Patrick Elliott, said that VisualCortex was enabling organizations – regardless of the industry or business function – to produce analyzable video-based data streams about any aspect of their operations.
“VisualCortex is making video intelligence accessible and valuable for all video-rich industries and business functions,” said Elliott. “Our Video Intelligence Platform provides the AI smarts, governance and stability. Clients just need to bring their standard infrastructure, commodity hardware and video – from any stream, camera or repository. With VisualCortex, you can run multiple machine learning models, for any number of video sources, across your existing cameras and video feeds.