-Technology entrepreneur, Tony Nicol, launches video analytics start-up 
VisualCortex, making video insights accessible, actionable and valuable for all 
video-rich industries and business functions

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(https://visualcortex.com/)

Unlike camera-side or point solutions – which typically focus on one video 
analytics(https://visualcortex.com/solutions/) 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(https://visualcortex.com/platform/) 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, 
today – 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(https://visualcortex.com/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.

"We're enabling anyone to quickly connect machine learning models with a 
production-ready cloud-based environment, transforming video assets into 
analyzable and actionable streams of data at scale. VisualCortex empowers 
technical users, like software developers and data scientists, as well as 
business users – from marketing executives and business analysts, to operations 
teams for OHS, security, car parks and more."

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

"We've encountered strong demand for VisualCortex's approach to video 
analytics," said Elliott. "We're set to announce a number of partnerships in 
the short-term with software and hardware vendors, service providers and the 
public sector. In terms of customers, we've signed NDAs – and are in various 
stages of conducting pilots and working on long-term agreements – with 
organizations in transport, retail and commercial real estate. Stay tuned for 
further exciting announcements regarding customer success and our growing 
partner ecosystem."

CTO and Co-Founder, Ben Evans, said that VisualCortex facilitated both 
real-time action and strategic analysis for any video analytics use case.

"We're enabling organizations to easily define, detect, track and produce 
tangible analytics about the objects and incidents that matter to them – from 
vehicle and number plate recognition, to people counting and dwell analysis," 
said Evans. "Customers can use those analytical insights operationally, 
triggering real-time alerts – and pushing the video-based data into operational 
systems – to prompt immediate action. Users can also analyze the data derived 
from their video assets with in-platform reports or pipe it into third-party 
databases. Combining video data streams with traditional data sources can 
unearth powerful integrated insights."

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

"We know that building, training and maintaining reliable machine learning 
models is resource intensive," said Evans. "The VisualCortex Model Store 
provides a secure digital marketplace for customers, partners and independent 
machine learning experts to share – and generate revenue from – quality 
controlled computer vision models(https://visualcortex.com/model-store/).

"At its core, the Model Store provides models-as-a-service. Anyone with 
appropriate security access can upload video footage into the VisualCortex 
platform, then define events to track, leveraging 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 Model Store here: 
visualcortex.com/model-store(https://visualcortex.com/model-store/)

The VisualCortex Video Intelligence Platform can be securely deployed in 
multiple ways to meet individual organization's needs: As a fully-managed 
service in the cloud, on customers' private cloud, via public cloud providers, 
on-premise, at the edge, or via a hybrid deployment model. VisualCortex is 
generally available to the market from Friday 24th June, 2022.

About VisualCortex

VisualCortex is making video data actionable in the enterprise. As the world's 
best Video Intelligence Platform, VisualCortex provides the stability and 
scalability to productionize 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-based 
environment transforms video assets into analyzable streams of data at scale.

The VisualCortex platform delivers the artificial intelligence smarts, 
governance and usability, enabling organizations to connect any number of video 
streams, repositories and use existing commodity hardware. An intuitive user 
interface, out-of-the-box reporting, range of configurations and integrations 
empower non-technical people to produce, analyze and act on insights derived 
from computer vision throughout the enterprise. Organizations can easily 
combine these AI-generated video insights 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 further media information, interviews or images, please contact:

Lachlan James, VisualCortex Chief Marketing Officer, on +61 (0)431 835 658 or 
lachlan.james@visualcortex.com 

For regular updates, follow VisualCortex on Twitter (@VisualCortexApp 
(https://twitter.com/VisualCortexApp)), LinkedIn (VisualCortex 
(https://au.linkedin.com/company/visualcortex)), YouTube (VisualCortex 
(https://www.youtube.com/channel/UCxB59JNwD8aURWC9WfDTt1A)) and Facebook 
(@VisualCortexApp (https://www.facebook.com/VisualCortexApp)).

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

Source: VisualCortex