Palantir Technologies Inc. (NASDAQ: PLTR) announced a strategic partnership with Ondas Inc. (NASDAQ: ONDS) and World View Enterprises Inc. to develop AI-enabled intelligence, surveillance and reconnaissance capabilities across multiple domains.

The collaboration will integrate Palantir's Artificial Intelligence Platform with World View's stratospheric balloon systems and Ondas' autonomous aerial and ground robot technologies. The partnership builds on Ondas' recent strategic investment in World View.

World View operates Stratollite platforms in the stratosphere between satellites and aircraft for persistent ISR missions. Combined with Ondas' unmanned systems, the companies plan to create a multi-domain intelligence architecture for defense and security customers.

The partnership includes three programs: Palantir Warp Speed for production management, AI Flight Director for mission operations, and SkyWeaver for edge computing capabilities. Integration across Ondas' portfolio is expected to begin in the fourth quarter of 2026.

"By combining Palantir's software platforms with World View's unique stratospheric capabilities and Ondas' broader autonomous ecosystem, we're building the operational backbone required to scale these missions," said Alex Karp, CEO of Palantir Technologies.

The Warp Speed program will establish a unified data foundation connecting supply chain and manufacturing operations. AI Flight Director will integrate atmospheric data and telemetry into mission planning systems. SkyWeaver focuses on bringing data processing directly onto World View's platforms through edge computing.

Ryan Hartman, CEO of World View, said the collaboration will integrate advanced software and AI-driven operations into how the platforms are built and deployed. Eric Brock, CEO of Ondas, described the partnership as an important step in building scalable ISR architecture for multi-domain operations.

The companies stated the integrated system aims to deliver decisions rather than just data to operators, marking a shift from traditional ISR models focused on data collection.