Cloudastructure Deploys Solar-Powered AI Security Units
Cloudastructure has deployed solar-powered, AI-driven security enclosures in multiple states to protect critical infrastructure. The off-grid solution is designed to support recurring SaaS revenue in the renewable energy and industrial sectors by providing surveillance in remote locations.
- The company's CTO, Gregory Rayzman, brings experience from companies acquired by Facebook and Oracle, and has a background in Big Data and database architecture, having provided leadership in designing massively scalable infrastructures at Apple. The engineering team was built by hand-selecting engineers specializing in AI, ML, and UI to design a scalable platform from the ground up. - Cloudastructure's AI analytics include features such as facial and license plate recognition, object counting, and the detection of clothing and vehicle color, moving beyond simple motion alerts. To manage the computational demands of its AI, the company transitioned its AI hosting to a renewable, hydroelectric-powered data center in Montana, which operates at less than half the cost of their previous Silicon Valley data center. - The solar-powered enclosures are designed for environments with inadequate traditional infrastructure, providing constant power and connectivity for uninterrupted monitoring without the need for trenching or fiber runs. This off-grid capability has been a key part of their expansion into securing assets for customers in the solar and renewable energy sector. - In a move toward more autonomous security systems, Cloudastructure has integrated autonomous drones into its mobile surveillance trailer. This allows remote guards to deploy and operate drones from the mobile unit to provide aerial surveillance for large or complex industrial sites and critical infrastructure. - The Department of Defense is actively pursuing the adoption of commercial AI technologies for applications like intrusion detection and real-time threat identification, with a stated goal of achieving superior battlespace awareness. The Pentagon has awarded contracts totaling nearly $800 million to commercial AI firms like OpenAI, Google, and Anthropic to prototype advanced, "agentic" AI systems for mission-critical operations. - The company's recurring revenue model includes hardware sales, installation, and a 12-month subscription to their video security and remote guarding software. In its 2025 fiscal year, Cloudastructure reported approximately 270% year-over-year revenue growth, reaching over $5.0 million in recognized revenue. - A key competitor, Verkada, also offers a hybrid cloud architecture for enterprise security, but with a closed ecosystem requiring proprietary hardware. Cloudastructure differentiates itself by being "camera-agnostic," allowing integration with 99% of existing commercial-grade cameras, which can lower the total cost of ownership for customers.