Ondas and Palantir Launch Regna AI for Sensitive Government Missions

Defense technology group Ondas and data-analytics firm Palantir Technologies are forming a new company, Regna AI, built to give governments and businesses a way to deploy artificial intelligence in sensitive operations without handing control of their data and models to outside providers. The venture addresses a problem that has grown more urgent as militaries and critical-infrastructure operators look to AI for mission-critical tasks: how to gain the advantages of advanced models while keeping tight control over classified or operationally sensitive information.

Ondas will initially own Regna AI outright and act as its first customer, while Palantir supplies the infrastructure needed to train and adapt the models. For organizations weighing how AI tools fit into their own security posture, understanding the trade-offs between convenience and control is increasingly important - a concern that extends well beyond defense circles and into everyday digital life, where readers can find broader guidance on privacy-preserving technology here. The same logic that drives a government agency to avoid sending sensitive data to a third-party cloud model applies, in a smaller way, to anyone concerned about where their information travels online.

Why Self-Contained AI Matters for Sensitive Operations

Commercial AI systems typically run on infrastructure controlled by the company that built them, and using those systems often means sending data outside an organization's own security perimeter. For intelligence agencies, military units and operators of critical infrastructure, that is frequently unacceptable. Regna AI's pitch is that customers should be able to build specialized models around their own operational knowledge, running entirely within environments they control, including on hardware deployed in the field, rather than relying on a vendor's remote servers.

This approach reflects a broader shift in how security-conscious organizations think about AI adoption. Rather than treating large general-purpose models as the only option, the strategy is to create narrower, mission-specific systems that can be trained on an organization's own data and then operated independently, even when network connectivity is poor or deliberately jammed.

From Intelligence Gathering to Autonomous Systems

Regna AI plans to begin with intelligence, surveillance and reconnaissance work before expanding into broader defense, security and industrial applications. A central use case involves autonomous platforms, including drones, stratospheric balloons, ground vehicles and surface vessels, operating in environments where communications are unreliable or actively disrupted. The software is designed to help human operators weigh evidence and consider changes to mission plans, with final decisions remaining subject to human review rather than automated action.

The new venture builds on an existing collaboration between the two companies through SkyWeaver C4I, a system designed to integrate surveillance data across platforms ranging from high-altitude sensors to units operating at the tactical edge. That groundwork gives Regna AI an operational base for training models suited to multi-platform, low-connectivity settings.

A Rapidly Expanding Defense Portfolio

The announcement follows a period of aggressive expansion for Ondas, which employs roughly 1,000 people in Israel and has acquired more than 15 companies over the past two years. Last month alone, it spent $56 million acquiring Insignito, Ottopia Defense and Caribou Labs, adding capabilities in drones, robotics, counter-drone systems, intelligence and communications. Regna AI represents a further step in that strategy, pairing Ondas's growing hardware and defense portfolio with Palantir's experience managing and analyzing operational data for government and commercial clients.