Tessera Zorronet reports growing operational deployments in defense and critical infrastructure
Tessera says its Zorronet natural-language AI platform is seeing growing operational deployments in defense and critical infrastructure.
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12:51:20 PM UTC
SquawkNews
Deployments now run in energy, rail, military, community security and command-center sites, on Zorronet’s VLM, no-code and natural-language stackNETANYA, Israel, Oct. 07, 2026 (GLOBE NEWSWIRE) -- Zorronet Ltd. (“Zorronet”), a wholly owned subsidiary of Tessera Defense and Homeland Security Inc. (“T…
12:51:37 PM UTC
SquawkNews
Tessera said its Zorronet unit has moved from trials to operational deployments across energy, rail, military, community security and command-center sites, using its VLM, no-code and natural-language platform.Material DetailsContext by AI AnalystThis is early-to-mid stage confirmation of product-ma…
12:53:34 PM UTC
SquawkNews
NETANYA, Israel, Oct. 07, 2026 (GLOBE NEWSWIRE) -- Zorronet Ltd. ("Zorronet"), a wholly owned subsidiary of Tessera Defense and Homeland Security Inc. ("Tessera" or the "Company") (NYSE American: HLSQ), today reported a further series of operational orders and deployments for its next-generation AI intelligence platform, as customers in critical infrastructure, defense and public safety move the system from trial into daily use. The new generation of Zorronet systems combines real-time video analytics, Vision Language Models (VLM), sensor integration, no-code tools and natural-language operation in a single platform. Unlike traditional video analytics systems that rely primarily on a fixed set of predefined rules, Zorronet's new platform enables customers to create, modify and operate scenarios using natural language. Users can describe what they want the system to detect, understand or respond to, without requiring a new software development cycle for every operational requirement. Recent orders and deployments include: -- Three Israeli kibbutzim ordered Zorronet systems for perimeter and internal security, including integration with local command centers and secure mobile access. -- A mid-sized monitoring and command center ordered a Zorronet system and has already begun operating it. -- One of Israel's leading energy companies ordered a system, has already connected three operational sites to the platform and is planning further expansion. -- An Israeli national rail operator ordered a Zorronet system for use within its safety command center. -- An Israeli law-enforcement organization integrated two Zorronet interfaces into servers already operating within its environment. -- Two military sites upgraded existing systems with Zorronet's new platform architecture and have already implemented the upgraded system. -- A major Israeli defense company upgraded its existing deployment and ordered two additional systems for sensitive operational use, with an existing system already installed in the field. These deployments reflect Zorronet's strategy of placing advanced AI intelligence directly inside the customer environment, while allowing existing cameras, sensors and security systems to remain in place. Zorronet acts as an intelligence layer above those systems, connecting multiple data sources, validating events, understanding operational context and allowing customers to define new scenarios as their needs change. "What we are seeing now is the transition from technology demonstration to real operational adoption," said Idan Wasserman, CEO of Zorronet. "Customers are not simply connecting cameras to another analytics system. They are starting to use AI as an operational layer that understands what is happening across their environment and allows them to create new scenarios simply by describing what they need." Wasserman continued: "The combination of VLM, natural language and no-code tools changes the way these systems are used. I