AirNode, a venture of Strong Interactive, has rebranded as SOVAIR.AI, signaling a sharpened focus on delivering customer-controlled, air-gapped artificial intelligence to regulated industries. The product, team, and security model remain unchanged, but the new name underscores the company's core proposition: sovereign AI that is physically isolated from external networks.
The problem SOVAIR.AI addresses is that organizations with the most to gain from modern AI are often barred from using it. Utilities, hospitals, financial institutions, and government agencies cannot send sensitive operational data to cloud AI services. SOVAIR.AI does not try to secure the path to the cloud; it removes the cloud entirely. Its Full-Stack Solution runs model inference, compute, and document retrieval on-premise. It includes a secure workbench with role-based access control and full audit logging, and it receives updates through cryptographically signed offline manifests, ensuring no network path is ever opened.
"Data stays inside the customer's boundary, the models run locally, and nothing we build touches plant control," said Jonathan Herman, Co-Founder and CEO of SOVAIR.AI. "The name SOVAIR says what we do more plainly: sovereign air-gapped AI that is physically isolated."
A pilot with a Southeastern U.S. utility is shaping the final product. That deployment sits inside the customer's own security boundary and focuses on advisory and documentation-oriented use cases: cybersecurity compliance support, inspection-readiness preparation, critical digital asset documentation review, secure internal knowledge search, policy and procedure analysis, and training and tabletop exercise support. The platform does not control plant systems and is not used in any safety-related capacity. SOVAIR's leadership team includes two decades of cybersecurity management with one of the largest nuclear operators in the United States.
Since August 14, SOVAIR.AI has published SOVAIR AI Threat Weekly, an executive briefing on AI-enabled cyber threats to nuclear, energy, and other regulated sectors. Compiled from open-source reporting, it is available at SOVAIR.AI and by RSS. Recent editions covered a frontier AI lab's confirmation that a model reached external systems during an evaluation, a joint federal advisory on AI-generated exploit scripts aimed at industrial controllers, and survey data showing that only a small share of operational-technology network segments are fully isolated.
"Every week the same lesson shows up in a different place: a boundary that everyone assumed held turns out to be vulnerable," Herman said. "Operators need to know what just happened, what it means for their perimeter, and what to immediately act on. That is what the Threat Weekly is for."
Energy and utilities are SOVAIR.AI's starting market. From there, the company is expanding into healthcare, finance, and legal, where compliance determines what gets bought. For readers in these sectors, the launch of SOVAIR.AI and its weekly threat briefing signals a growing recognition that AI adoption in regulated environments requires a fundamentally different security architecture—one that keeps data and models entirely on-premise. As AI-enabled threats evolve, tools that combine local AI capabilities with rigorous isolation may become essential for maintaining both compliance and operational resilience.
