Servian Founder Launches ‘VisualCortex’ Video Intelligence Platform

technology entrepreneur, Tony Nicollaunches video analytics startup VisualCortex, making video insights accessible, actionable, and valuable for all video-rich industries and business functions

SYDNEY and NEW YORK, June 24, 2022 /PRNewswire/ — VisualCortex – the cloud-based video intelligence platform, connecting the potential of computer vision to real business results – was 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 analysis challenge by deployment – ​​VisualCortex provides a high-performance enterprise platform to facilitate any real-time or historical video analytics use case. Designed to work with both streaming and offline footage, the VisualCortex platform applies machine learning models to video content, enabling organizations to produce streams of analyzable data about defined objects and actions. Insights from this data can then be integrated directly into customers’ traditional data infrastructure.

VisualCortex is supported by its president and co-founder, Tony Nicolwho sold australia leading data-driven cloud consultancy, Servian, to US-based professional services firm, Cognizant, in January 2021. Nicol founded Servian in 2008, where he remained CEO of the 900-strong business transformation firm until June 2021.

Drawing on experiences building some of the largest and most complex enterprise data platforms, Nicol said VisualCortex’s goal is to enable any complex computer vision use case without compromising robustness and reliability.

“We built VisualCortex to overcome the limitations of single-purpose solutions, without sacrificing the stability, security, scalability, flexibility, and governance that naturally occur in on-premises point solutions,” Nicol said.

Commenting on the launch of VisualCortex, Nicol said the company’s mission is to enable any organization to become a vision-aware enterprise, enabling them to solve commercially valuable challenges with large-scale video insights.

“For the first time, we’re making video data truly actionable across the enterprise,” Nicol said. “Until now, computer vision technology struggled to make business sense and drive impactful business value. They have also been extremely difficult to use and expensive in terms of cost and time to value, hampering the ability to be exploited by anyone other than machine learning experts.

“VisualCortex’s video intelligence platform removes these barriers and provides an enterprise-grade approach and control to computer vision initiatives,” Nicol said. “We enable any business unit to quickly and easily create and implement a video analytics use case to facilitate future ways of working, today, whatever the nature of your business, of your material or video content.”

CEO and Co-Founder, Patrick Elliotsaid VisualCortex enables organizations – regardless of industry or business function – to produce streams of analyzable video data about any aspect of their operations.

“VisualCortex makes video intelligence accessible and valuable for all video-rich industries and business functions,” said Elliott. “Our Video intelligence platform provides AI intelligence, governance and stability. Customers only 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, on your existing cameras and video streams.

“We enable anyone to quickly connect machine learning models to a production-ready cloud environment, transforming video assets into streams of data that can be analyzed and acted upon at scale. VisualCortex enables technical users, such as software developers and data scientists, as well as business users – from marketing managers and business analysts to operations teams for OHS, security, parking lots and more.”

Elliott added that VisualCortex has already signed a number of commercial agreements and that specific partner and customer announcements will be made in the near future.

“We’ve seen strong demand for VisualCortex’s approach to video analytics,” Elliott said. “We are about to announce a number of short-term partnerships with software and hardware vendors, service providers and the public sector. On the customer side, we have signed NDAs – and are at various stages of conducting pilot projects and working on long-term agreements – with transportation, retail and commercial real estate organizations. Stay tuned for more exciting announcements regarding the success of our customers and our growing ecosystem of partners.”

CTO and co-founder, Ben Evanssaid VisualCortex facilitates both real-time action and strategic analysis for any video analytics use case.

“We enable organizations to easily define, detect, track and produce tangible analytics on the objects and incidents that matter to them – from vehicle and license plate recognition to people counting and movement analysis” , said Evans. “Clients can use this analytical information operationally, triggering real-time alerts – and pushing video data into operational systems – to prompt immediate action. Users can also analyze data derived from their video assets with in-platform reports or feed them into third-party databases. Combining video data streams with traditional data sources can reveal powerful integrated insights.”

Evans added that the VisualCortex Model Store would also play an important role in helping more organizations realize faster and stronger returns on their video analytics initiatives.

“We know that building, training, and maintaining reliable machine learning models is resource-intensive,” Evans said. “The VisualCortex Model Store provides a secure digital marketplace for customers, partners, and independent machine learning experts to share — and earn revenue from — quality controlled computer vision models.

“At its core, the Model Store provides models as a service. Anyone with the appropriate security access can upload video footage to the VisualCortex platform and then set events to track, leveraging the models. from the Model Store and produce data for analysis.”

VisualCortex is committed to building, training, and maintaining a growing set of machine learning models, available out-of-the-box with a VisualCortex subscription license.

Browse the VisualCortex template store here: visualcortex.com/model-store

The VisualCortex Video Intelligence platform can be securely deployed in multiple ways to meet the needs of every organization: as a fully managed service in the cloud, on customers’ private cloud, through public cloud providers, on-premises , at the edge, or through a hybrid deployment model. VisualCortex is generally available on the market from Friday June 24, 2022.

About VisualCortex

VisualCortex makes video data actionable in the enterprise. As the world’s best video intelligence platform, VisualCortex provides the stability and scalability needed to produce computer vision technology for the first time. Unlike camera-side or point solutions, VisualCortex can be used for any video analytics use case in any industry. VisualCortex’s production-ready cloud environment transforms video assets into large-scale, analyzable data streams.

The VisualCortex platform provides artificial intelligence, governance, and usability, allowing organizations to connect any number of video streams, repositories, and use existing commodity hardware. Intuitive user interface, out-of-the-box reports, range of configurations and integrations enable non-technical people to produce, analyze and act on computer vision insights across the enterprise . Organizations can easily combine this AI-generated video information with other data sources and systems to facilitate both real-time operations and strategic analysis. The VisualCortex Model Store also provides a secure marketplace for customers, partners, and independent machine learning experts to share quality-controlled computer vision models.

For more information visit www.visualcortex.com

For more media information, interviews or images, please contact:

Lachlan JamesMarketing Director of VisualCortex, at +61 (0)431 835 658 or [email protected]

For regular updates, follow VisualCortex on Twitter (@VisualCortexApp), LinkedIn (Visual cortex), Youtube (Visual cortex) and Facebook (@VisualCortexApp).

For regular industry news and analysis, subscribe to the VisualCortex mailing list here: https://visualcortex.com/contact-us/

SOURCEVisualCortex

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