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Kogniz: AI and computer vision platform for workplace safety and security, processing real-time video for anomaly detection and occupational hazards.
Kogniz, based in Berkeley, California, develops an AI and computer vision platform designed to enhance workplace safety and security. The SaaS platform processes real-time video for anomaly detection, occupational hazards, workplace violence, and compliance with social distancing and mask mandates. It currently protects over three million employees across its customer base and maintains a team of 29 total employees. The company has attracted investment from firms including Ulu Ventures, Superset, and The Entrepreneur’s Fund, and its technology has been featured in publications such as The Wall Street Journal and The Washington Post. Kogniz was founded in 2016. Recent public facts include award-winning technology featured in major media, development team established in Montreal, Quebec, platform expanded to pandemic controls like contact tracing.
Kogniz has raised $14.0M across 2 funding rounds.
Kogniz has raised $14.0M in total across 2 funding rounds.
Kogniz is a Berkeley, California-based technology company founded in 2016 that develops an AI-powered computer vision platform to enhance safety, security, and efficiency in physical environments.[1][2] Its core product, including offerings like Kogniz AssureAI and a configurable detections library, processes real-time video from existing IP cameras to detect incidents such as social distancing violations, improper mask-wearing, elevated temperatures, PPE non-compliance, occupancy issues, defect detection, forklift proximity, perimeter intrusions, and even openly carried guns.[1][2][3][5] The SaaS-based solution serves businesses in manufacturing, distribution, retail, public sector (e.g., State of Georgia, DC Government, City of Charlotte), education, convention centers, and more, addressing reactive manual safety practices amid regulatory pressures and a $20B market opportunity accelerated by COVID-19.[3][4] Kogniz raised $10M in venture funding by 2022, demonstrating growth through public sector onboarding and expansions like gun detection for mass shooter prevention.[2][4]
Kogniz emerged in 2016 in Berkeley, CA, initially focusing on AI computer vision for health response during the global pandemic, such as enforcing social distancing, mask compliance, and high-flow temperature monitoring via edge devices like stereoscopic 3D Temperature Cams.[1][2][5] The idea leveraged AI and machine learning to analyze multiple video streams in real-time, tracking individuals across spaces without requiring them to approach cameras, which proved pivotal for rapid deployment amid COVID-19 demands.[5] Early traction included partnerships for manufacturing integration (e.g., with Connect Tech for scalable hardware) and public sector pilots in 2020-2021, evolving from pandemic-specific tools to broader safety applications like equipment monitoring and gun detection.[2][4][5] While specific founders are not detailed in available sources, the company's pivot from health monitoring to comprehensive security reflects adaptive growth in AI-driven workplace safety.[2]
Kogniz stands out in the AI computer vision space through these key strengths:
Kogniz rides the surge in AI computer vision for predictive safety, fueled by post-COVID regulatory mandates, rising workplace injury costs, and autonomous systems in ADAS/automotive (e.g., its ESP matrix ranking).[2][4] Timing aligns with edge AI proliferation—enabled by 5G and powerful tensor hardware—addressing a shift from manual, reactive safety to proactive automation in a $20B market, where cameras outperform radar/lidar for color/font detection in adverse conditions.[3][5] Market forces like economic productivity losses, lawsuits, and public health threats (e.g., viruses, active shooters) favor its platform, influencing ecosystems by enabling safer manufacturing/retail operations and public spaces, while integrating with broader AI trends in automotive cameras and neural networks.[2][3] It shapes startup innovation by demonstrating scalable, privacy-aware AI for physical security.
Kogniz is poised to expand its detections library and public sector footprint, potentially targeting smart cities and autonomous vehicles amid rising AI edge computing adoption.[2][3] Trends like stricter safety regs, 5G ubiquity, and generative AI for anomaly prediction will accelerate growth, evolving its influence from pandemic responder to essential infrastructure for secure environments. As AI safety platforms mature, Kogniz's real-time, integrable vision could redefine proactive risk management, building on its funding momentum and partnerships for sustained leadership in smarter physical spaces.
Kogniz has raised $14.0M in total across 2 funding rounds.
Kogniz's investors include Ulu Ventures, Brand New Matter, Index Ventures, super{set}, Vayner RSE, Andrew Jones, Tom Chavez, H. Barton Asset Management, K20 Fund, The Indy Fund, Venture Studio, Auren Hoffman.
Kogniz has raised $14.0M across 2 funding rounds. Most recently, it raised $10.0M Series A in June 2022.
| Date | Round | Lead Investors | Other Investors |
|---|---|---|---|
| Jun 1, 2022 | $10.0M Series A | Ulu Ventures | Brand New Matter, Index Ventures, super{set}, Vayner RSE, Andrew Jones, Tom Chavez, H. Barton Asset Management, K20 Fund, The Indy Fund, Venture Studio |
| Oct 1, 2018 | $4.0M Seed | Auren Hoffman, Jeffrey Webber | Activant Capital, Balderton Capital, BlueRun Ventures, Brand New Matter, Buckley Ventures, Company Capital, CrunchFund, Curated, Flex Capital, Founder Collective, Greylock, GSV Asset Management, Indeed.com, Index Ventures, Khosla Ventures, Menlo Ventures, Next Play Ventures, Ride Ventures, Sequoia Capital, super{set}, Ulu Ventures, Vayner RSE, Andrew Jones, Kintan Brahmbhatt, Rob Theis, Vipul Ved Prakash, William Hockey |