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Ambient.ai has emerged from stealth to introduce the first computer vision intelligence platform. The company has raised US$ 52 million in venture funding led by Andreessen Horowitz (a16z) and launches with five of the largest US tech companies by market capitalisation and multiple Fortune 500 customers across a variety of other industries.

Already, large enterprises, schools, and museums use Ambient.ai to secure property, people, and assets from the current most harrowing physical security threats. With physical security incidents on the rise, amidst the COVID-19 pandemic spread and physical security organisations left under-resourced, the launch of Ambient.ai comes at a time of critical need across enterprises.

Physical security primarily a reactive process

Physical security is primarily a reactive process, in which accidents, break-ins, assaults, and beyond are identified and investigated, only after they have occurred. Despite having thousands of cameras, if not more, deployed to offer surveillance of their property, enterprises have been relegated to a reactive posture.

At the root of this issue is camera chaos – the flood of video streams that security professionals are tasked with monitoring, to no avail. With no realistic capability of ingesting and understanding the goings-on across their campuses, security teams are left ill-equipped, to quickly and effectively respond to real-time threats.

Ambient.ai reduces false alarms significantly

Ambient.ai changes the stakes, processing and analysing these video feeds at scale

Ambient.ai changes the stakes, processing and analysing these video feeds at scale, so as to automatically identify security incidents of any enterprise or organisation’s campus. In current production implementations, Ambient.ai reduces false alarms by 99%, while alerting customers to more than 200 dispatch-worthy incidents each week that once required significant human intervention.

Shikhar Shrestha, the Co-Founder and Chief Executive Officer (CEO) of Ambient.ai, adds “To date, video analytics solutions detect motion and identify objects, but fail to improve security operations, because they cannot understand the context of human behaviours in a scene, severely limiting the capabilities of these analytics to generate situational awareness. This poses a barrier to automation and has resulted in a purely reactive approach to physical security.

Computer Vision Intelligence (CVI)

He adds, “Today, we’re introducing Computer Vision Intelligence (CVI) to the world, unlocking near human-level visual perception, with a context-aware understanding of scenarios. This technology allows organisations to identify potential incidents, before they happen and dispatch security professionals in real time.

Shikhar Shrestha further said, “Our breakthrough Computer Vision Intelligence platform will forever change how security operation centres process and analyse video data, transforming their operations to prevent incidents before they happen.

Researching, developing and testing AI technologies

Founded in 2017, by Chief Executive Officer (CEO), Shikhar Shrestha and Chief Technology Officer (CTO), Vikesh Khanna, Ambient.ai has spent the past four years researching, developing, and testing AI techniques that push the boundaries of Computer Vision.

As a result, the company has pioneered a new category of software called Computer Vision Intelligence, which goes far beyond the capabilities of motion and deep learning video analytics.

Ambient.ai applies CVI with near human-level perception

Layered onto existing camera hardware, the Ambient.ai platform applies CVI with near human-level perception

Computer Vision Intelligence (CVI) can analyse and contextualise information, historical patterns, and real-time activities, to automatically understand human behaviour, and detect real-time threats.

Layered onto existing camera hardware, the Ambient.ai platform applies CVI with near human-level perception, to unlock real-time risk alerts, graph-based forensic search, immediate mobile dispatch, and operational dashboards that enable 10X faster response times than traditional manual methods.

Transforming physical security with CVI

Physical security is often overlooked in today's digital world,” said Martin Casado, the General Partner at Andreessen Horowitz (a16z), adding “Ambient.ai is transforming the way we view physical security through cutting-edge computer vision intelligence. Enterprise security operations can use Ambient.ai's platform to monitor and protect their environments from more than 100 proprietary threat signatures, and will automatically be notified of any suspicious activity.

The Ambient.ai Platform is capable of addressing hundreds of physical security threats and incidents immediately, upon deployment to any video surveillance system. Powered by the Ambient.ai Context Graph, the platform monitors and connects three risk factors - the context of the location, the movements that create behaviour signatures, and the type of objects interacting in a scene.

Accuracy in threat detection

These three factors are critical in calculating risk, triggering proactive risk alerts, and dispatching security personnel, the moment a potential incident is identified. To continuously strengthen performance, Ambient.ai utilises human-in-the-loop feedback to train threat signatures and ensure accuracy in threat detection, and automated response.

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