viisights

High-Level Overview

viisights is an Israel-based technology company specializing in AI-powered behavioral recognition systems for real-time video intelligence. It builds software that analyzes video streams to detect and predict human behaviors, serving sectors like safe and smart cities, enterprises, campuses, banks, financial institutions, critical infrastructures, transportation hubs, industrial facilities, and shared/autonomous mobility.[1][2][3] The platform solves critical problems in security and safety by transforming raw video into actionable insights—such as distinguishing a fall from a fight, or a peaceful crowd from a riot—reducing false alerts, optimizing resources, and preventing escalations through near-real-time pattern prediction.[2][4][5] Growth momentum stems from its proprietary deep learning tech, partnerships with systems like Milestone and Genetec, and expansion via sales offices in North America and Southeast Asia, positioning it as a leader in scalable video analytics.[3][4][8]

Origin Story

viisights was founded by a group of serial entrepreneurs with proven track records in innovative tech businesses, including Co-Founder & CEO Asaf Birenzvieg, Co-Founder & Chief Product Officer Menashe Rothschild, Co-Founder & CTO Amjad Akkawi, and Co-Founder & Chief Scientist Simon Polak.[1] The idea emerged from recognizing the global demand for intelligent behavioral recognition in video to enhance safety in physical and virtual public spaces, viewing smart video understanding as a game-changer for security.[1][3] Early traction built on this vision, with the company leveraging a seasoned management team and cutting-edge AI expertise to develop autonomous video systems; it has since joined organizations like the Security Industry Association (SIA) and formed key integrations, humanizing its mission through a focus on real-world safety impacts.[1][4]

Core Differentiators

viisights stands out in video analytics through advanced AI that mimics human-like understanding, going beyond static object detection to analyze behaviors, interactions, and scenes in real-time.[2][5]

• Proprietary Behavioral Recognition: Uses deep neural networks, machine learning, temporal analysis, and holistic scene evaluation to detect complex events (e.g., brawls, slips vs. assaults) with high accuracy, trained on images and video clips for low false positives via 3-second sliding windows.[4][5][6]
• Scalability and Efficiency: Unique architecture with NVIDIA GPUs enables near-real-time processing of vast video streams at low hardware cost per stream, supporting high throughput for enterprises and cities.[2][5][6]
• Actionable Insights and Prediction: Delivers alerts on threats, safety hazards, and optimizations (e.g., in-cabin monitoring for robo-taxis, guard station verification), integrating with IoT for reduced losses and better workflows.[1][2][6]
• False Alert Reduction: Filters motion-triggered false positives from weather or objects, prioritizing true events to boost SOC efficiency.[2][6]

Role in the Broader Tech Landscape

viisights rides the wave of AI-driven smart city and surveillance trends, where exploding video data from ubiquitous cameras demands intelligent automation over manual monitoring.[2][4] Timing is ideal amid rising urban security needs, IoT proliferation, and autonomous mobility growth, with market forces like resource optimization and predictive safety favoring its human-like pattern prediction.[1][2] It influences the ecosystem by disrupting legacy analytics—transcending rule-based systems via deep learning—enabling partners like Milestone and Genetec to scale security, while pushing toward "autonomous video surveillance" that predicts incidents pre-escalation.[3][4][5][8]

Quick Take & Future Outlook

viisights is poised to expand its behavioral AI into predictive platforms, integrating more deeply with edge computing, 5G, and multi-sensor IoT for proactive threat prevention in smart cities and Industry 4.0.[2][4][6] Trends like real-time analytics demand and regulatory pushes for public safety will accelerate adoption, potentially evolving its influence through global partnerships and roadmap advancements in scenario forecasting. This builds on its core strength in turning video chaos into foresight, solidifying its role as a safety innovator.[1][5]