Palladyne new division consolidates the company’s AI software, engineering capabilities, and manufacturing under a single unit.
Palladyne new division consolidates the company’s AI software, engineering capabilities, and manufacturing under a single unit. Photo: Palladyne AI

Palladyne AI has created a new division, Palladyne Defense, following its acquisition of GuideTech LLC, Warnke Precision Machining, and MKR Fabricators.

The division brings together AI software, engineering, and manufacturing to build components and systems for unmanned aerial vehicles and loitering munitions.

By combining in-house production of avionics, structural frames, and munitions parts with Palladyne’s patented embodied AI, the company aims to develop autonomous platforms without relying on multiple external suppliers.

With focus on the US defense market, the new division is expected to boost Palladyne’s 2024 revenue of $7.8 million by more than threefold by 2026.

Palladyne said the move aligns with “the Department of War’s modernization priorities, including intelligent autonomy, rapid iteration, low cost per effect, and the reshoring of critical defense production.”

Palladyne AI is introducing SwarmOS, a defense-oriented upgrade of its Palladyne Pilot drone control platform. Photo: Palladyne AI

From Components to Autonomy

Palladyne Defense will fold together the capabilities of Palladyne AI, GuideTech LLC, Warnke Precision Machining, and MKR Fabricators under one development and production ecosystem.

GuideTech will provide advanced avionics, flight systems, and low-cost weapons platforms using fast, iterative design.

Warnke Precision Machining and MKR Fabricators will handle US-based manufacturing, including machining, heavy fabrication, and assembly of electronic and mechanical parts.

Palladyne AI will field the defense variant of its Palladyne Pilot embodied AI for drones, now branded SwarmOS, to enable autonomous decision-making, coordination, and adaptive mission control.

The platform supports real-time detection, tracking, and control via sensor fusion of visual, radar, and acoustic inputs.

Onboard edge computing enables low-latency processing at the device level, improving performance in complex or degraded environments.

This lets drones hold onto targets longer, adapt their sensors as conditions change, and keep passing data across the network even when comms take a hit.

Because the platform is hardware-agnostic, multiple drone types can operate autonomously together, reducing the need for manual piloting.

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