Lumana

High-Level Overview

Lumana is a technology company building an AI-powered video security platform that transforms existing security cameras into intelligent systems for real-time event detection, alerts, and actionable insights.[1][2][3] It serves enterprises, commercial businesses, schools, government, retail, hospitality, manufacturing, and education sectors, solving the problem of reactive video monitoring by enabling proactive analysis of millions of hours of footage across locations to enhance security, safety, operational efficiency, and incident response.[1][2][3][6] With $64 million in total funding—including a record $40 million Series A in July 2025—Lumana has surpassed 50,000 cameras deployed in just over a year since emerging from stealth, counting customers like Meta, McDonald’s, New York University, and the Minnesota Twins.[2]

Origin Story

Founded in 2021 and based in Los Gatos, California, with offices in Tel Aviv, Lumana emerged from stealth in 2024 with $24 million in seed funding from Norwest Venture Partners, S Capital, and Wing Venture Capital.[1][2][4] Sagi Ben Moshe, an expert in computer vision and machine learning, serves as Founder and CEO, leading a team with deep expertise in AI, including CTO Ofir Mulla and Chief Scientific Officer Ron Kimmel; board members include Dror Nahumi, Haim Sadger, and Peter Wagner.[1][4] The idea stemmed from recognizing untapped potential in visual data from security cameras, evolving from traditional recording to AI-driven real-time intelligence, with early traction marked by rapid scaling post-Series A funding in 2025.[1][2]

Core Differentiators

• Camera-Agnostic AI Platform: Works with any existing camera, using a plug-and-play Core device (AI engine with video processor, up to 90 days SSD storage, 365 days cloud backup) for real-time streaming, analysis, and optimization of proprietary AI models.[1][3][5]
• All-in-One Management: Single web/mobile interface for unlimited cameras/locations, natural language alerts, Smart Search for footage in seconds, and automated workflows, reducing monitoring fatigue.[2][3][5]
• Real-Time Perception and Action: Analyzes video with near-human perception to detect complex events/risks instantly, delivering proactive insights over reactive recording.[1][2][3]
• Scalable and Secure: Distributed hybrid cloud architecture, NDAA-compliant modern cameras option, encrypted by default, serving diverse industries with tailored solutions like threat detection for education or theft reduction for retail.[3][5][6]
• Proven Growth: Fastest-growing AI security firm, with 50,000+ cameras and largest Series A in physical security history.[2]

Role in the Broader Tech Landscape

Lumana rides the explosive growth of the AI video analytics market, projected to quadruple from $8 billion in 2024 to $38 billion by 2030, driven by demand for proactive intelligence amid rising security needs and existing camera infrastructure.[1] Timing aligns with AI advancements in computer vision and edge computing, enabling real-time processing at scale without overhauling hardware, while market forces like labor shortages in monitoring and regulatory pushes for safety (e.g., NDAA compliance) favor its hybrid cloud model.[1][2][3] It influences the ecosystem by shifting physical security from passive to intelligent, empowering sectors like retail and government with automation, and setting benchmarks for AI integration in legacy systems.[2][6]

Quick Take & Future Outlook

Lumana's momentum—50,000 cameras, blue-chip customers, and $64 million funding—positions it to dominate AI video surveillance as enterprises prioritize real-time insights over manual review.[2] Next steps likely include global expansion, deeper industry verticals, and advanced AI features like predictive analytics, fueled by trends in generative AI for video and edge deployment.[1][2][3] Its influence could evolve by redefining security cameras as enterprise sensors, unlocking visual data value in a $38 billion market, much like how cloud transformed storage—turning Lumana from stealth startup to infrastructure leader.[1][2]