AI-powered operational intelligence and command-and-control platform connecting cameras, sensors, drones and IoT systems into autonomous response workflows.
Zorronet is an AI-powered command-and-control and operational-intelligence platform that connects cameras, radar, sensors, drones, gates, PLCs, alarms, public-address systems and other field assets into a unified real-time operating picture. Its September 4 launch added a visual no-code builder for defining site- and mission-specific response workflows, including autonomous execution or authorized human-in-the-loop control. The platform can run multiple workflows in parallel and supports on-premises hardened networks or cloud deployment. 1
No current public enterprise price list was verified. Zorronet is sold as an operational platform plus systems-integration and deployment capability, so buyers should expect project-specific commercial scoping rather than self-serve SaaS pricing. A companion mobile app is available on Apple and Google stores, but the public stores do not establish enterprise platform pricing. 123
The strongest evidence is first-party and deployment-oriented. Zorronet states that its platform is already used in defense, homeland security, critical infrastructure and municipal environments, and a 2026 Israel Railways pilot was reported by the parent company as achieving a 98% success rate before a framework supply agreement. That result is useful deployment evidence but remains vendor/parent-reported rather than an independent benchmark. The mobile stores corroborate an active product surface; Apple shows insufficient ratings for a score, while Google Play lists 500+ downloads and developer-provided data-safety disclosures including collection/sharing of sensitive categories and a statement that data is not encrypted. Those store disclosures should be treated as developer declarations and checked in enterprise security diligence rather than generalized to every on-premises deployment. 4523
Zorronet is aimed at organizations operating physical environments where fragmented sensors and response systems need to be coordinated in real time: defense, homeland security, critical infrastructure, transportation, municipalities, agriculture, smart-city and remote-asset protection. It is less suitable for teams seeking a simple off-the-shelf analytics app with transparent self-serve pricing or a large body of independent user reviews. 14
Its clearest strength is systems breadth: the platform can combine heterogeneous physical assets, AI/ML analysis and response logic, while the no-code builder reduces dependence on developers for every operational change. Existing deployment claims and the rail pilot indicate real-world use beyond a prototype. The
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