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§ Private Profile · El Segundo, CA, USA
Cloud security fusion platform integrating sensors for Global Security Operations Centers, enabling proactive threat detection.
HiveWatch is an El Segundo, California-based cloud-based security fusion platform that integrates with existing security systems to power Global Security Operations Centers (GSOCs). The company's platform aggregates data from multiple sensors:including access control, video, and situational awareness systems:to reduce false alarms and deliver actionable intelligence, enabling a shift from reactive to proactive threat detection for security leaders. HiveWatch has raised $20 million in total funding across two rounds and reports revenue under $5 million, with approximately 50 employees. In June 2023, Steve Hult, formerly Twitter's Head of Revenue, joined as Chief Revenue Officer. The company serves enterprise clients globally, focusing on physical security operations and offering GSOCs-as-a-service through its RAS Watch offering. HiveWatch was founded in 2020 by Ryan Schonfeld.
HiveWatch has raised $58.0M across 3 funding rounds.
HiveWatch has raised $58.0M in total across 3 funding rounds.
HiveWatch has raised $58.0M in total across 3 funding rounds.
HiveWatch's investors include Anthos Capital, Across Capital, Harmonic Growth Partners, Adam Bain, Dick Costolo, 01 Advisors, Andreessen Horowitz, Atreides Management, Bessemer Venture Partners, Bowery Capital, Charge Ventures, Jenny Fielding.
HiveWatch has raised $58.0M across 3 funding rounds. Most recently, it raised $33.0M Series B in September 2025.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| Sep 23, 2025 | $33M Series B | Anthos Capital | Across Capital, Harmonic Growth Partners | Announced |
| Oct 1, 2021 | $20M Series A | Adam Bain, Dick Costolo | 01 Advisors, Andreessen Horowitz, Atreides Management, Bessemer Venture Partners, Bowery Capital, Charge Ventures, Jenny Fielding, Scott Hartley, Flybridge Capital Partners, Gutter Capital, Index Ventures, Jeff Richards, Primary Venture Partners, Silicon Badia, Supernode Ventures, Erica Alioto, Gokul Rajaram, Laszlo Bock, TOM Monahan, Elad GIL, Lachy Groom, Crosscut Ventures, Freestyle Capital, Penny JAR Capital, SaaS Ventures | Announced |
| Jan 1, 2021 | $5M Seed | — | Ascension Ventures, Casc Ventures, Crosscut Ventures, Gutbrain Ventures, Incisive Ventures, Jump Crypto, T Bird Capital, Mathieu Guerville, TOM Williams | Announced |
HiveWatch is a Los Angeles-based technology company that builds a cloud-based SaaS platform unifying disparate physical security systems into an AI-powered command center for Global Security Operations Centers (GSOCs).[1][2][4] It serves enterprises in sectors like retail, gaming, technology, pharmaceuticals, healthcare, manufacturing, real estate, energy & utilities, and hyper-growth firms with global footprints, solving the chaos of siloed security tools—such as access control, video surveillance, and alarms—that generate 98% false alarms and hinder rapid incident response.[1][2][7] By integrating existing infrastructure without rip-and-replace, HiveWatch enables proactive threat prevention, false alarm reduction via machine learning, automated incident handling (e.g., tailgating), and strategic insights, turning security from a reactive cost center into a scalable advantage with measurable ROI.[2][3][5]
The platform's growth momentum is strong: from 25 to over 65 employees in under a year with near-zero turnover, serving Fortune 100 gaming giants, unicorns, and tech firms across global facilities, while maintaining customer anonymity for security reasons.[5][7]
HiveWatch was founded by Ryan, a former police officer frustrated by the inefficiencies of legacy physical security systems during his law enforcement career—companies drowning in non-communicating tools and manual analysis, leading to slow incident responses.[5] The idea emerged from this market gap: an "operating system for physical security" that overlays existing hardware to unify data, analyze patterns, and slash false alarms, a key inefficiency Ryan identified.[2][5] Early traction built quickly through this purpose-driven approach, with the team expanding rapidly to include security leaders, ex-law enforcement/military experts, and tech talent from top innovators, fostering a diverse culture in a traditionally homogeneous industry.[4][5]
Pivotal moments include securing trust from high-profile, undisclosed clients like Fortune 100 gaming and hyper-growth tech firms, proving the platform's value in real-world GSOCs without revealing identities to prioritize security.[5][7]
HiveWatch rides the wave of AI-augmented physical security, where enterprises demand unified, intelligent platforms amid rising threats, distributed workforces, and global expansion—trends accelerated by post-pandemic vulnerabilities and hyper-growth in tech/gaming.[2][5][7] Timing is ideal as legacy systems fail modern needs, with market forces like false alarm overload (tens of thousands monthly) and siloed tools driving demand for overlay solutions over hardware overhauls.[1][5] It influences the ecosystem by redefining GSOCs as strategic assets, enabling security teams to contribute to business outcomes, inspiring diverse talent entry, and positioning physical security as a competitive edge akin to cybersecurity evolution.[4][5]
Competitors like Verkada focus on hardware-software bundles, but HiveWatch's agnostic integration maximizes any tech stack, broadening adoption.[1][3]
HiveWatch is poised to capture market leadership by expanding its AI Operator for autonomous threat prevention and deeper analytics, targeting more international GSOCs as enterprises prioritize people-protection amid geopolitical risks and AI proliferation.[2][5][7] Trends like agentic AI, zero-trust physical security, and regulatory pressures on workplace safety will fuel growth, evolving its influence from unifier of chaos to industry standard-setter. As Ryan envisions, it transforms security from antiquated expense to indispensable framework, empowering teams to protect what matters most—people—much like it began from one officer's frontline frustration.[4][5]