announced the launch of the first computer vision intelligence platform. It has raised $52 million in venture funding led by a16z and is launching with five of the largest US technology companies by market capitalization and with multiple Fortune 500 customers in a variety of other industries. The most harrowing physical security threats today are already being protected by large enterprises, schools, and museums with

Shikhar Shrestha, co-founder, and CEO of, said, “To date, video analytics solutions detect motion and identify objects but fail to improve security operations because they cannot understand the context of human behaviors 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. Today, we’re introducing computer vision intelligence to the world, unlocking near human-level visual perception with a context-aware understanding of scenarios. This technology allows organizations to identify potential incidents before they happen and dispatch security professionals in real-time. Our breakthrough computer vision intelligence platform will forever change how security operation centers process and analyze video data, transforming their operations to prevent incidents before they happen.”

The launch of at a time of critical need across enterprises comes amid a rise in physical security incidents caused by the COVID-19 pandemic and under-resourced security organizations. Identifying and investigating accidents, break-ins, assaults, and beyond is primarily a reactive process in which events are identified only after they have taken place. Enterprises have been relegated to a reactive posture despite having thousands of cameras – if not more – installed to monitor their property. Security professionals are tasked with monitoring an unprecedented number of video streams to no avail. This is the root cause of camera chaos. Unless security teams can ingest and understand what is going on across their campuses, they are unable to respond quickly and effectively to real-time threats. transforms the landscape, automatically identifying security incidents on the campus of any enterprise, or organization, by processing and analyzing these video feeds at scale. Current implementations of reduce false alarms by 99% while identifying more than 200 dispatch-worthy incidents every week that previously required considerable human intervention.