Taiwanese drone developer AerosoarX has signed cooperation memorandums with US firms Rajant and SiMa.ai to develop AI-enabled unmanned systems. The plan puts onboard AI computing and mesh networking on the aircraft, aiming to help drones process data and coordinate with one another without constant ground control.
Watch Desk analysis
What happened
The partnerships were announced at AerosoarX’s brand launch event in Taipei on 28 October, Focus Taiwan reports. The proposed system pairs SiMa.ai’s Modalix processor for onboard AI tasks such as visual perception with Rajant’s mobile mesh networking technology to relay data between aircraft.
AerosoarX chairman Max Lo said the company had already become a supplier of drone platforms and components in the US through its work with Rajant. The article reports that AerosoarX sent staff to Rajant’s Kentucky facility for integration work in September and is targeting production readiness for a 15-inch AI-enabled first-person-view drone in November.
Lo said SiMa.ai met the company’s requirement for 50 trillion operations per second within its power constraints. He also said the choice depended on performance per watt, a key consideration when extra computing competes with a drone’s limited power and flight time.
Why it matters
This is a practical AI-computing partnership, not just another drone fitted with a fashionable label. Processing sensor data onboard and sharing it across aircraft could support coordinated operations with less reliance on continuous ground control. The trade-off is familiar to anyone who has tried to make a clever device run on a battery: compute is useful, but power efficiency matters too.
Focus Taiwan reports that Rajant said the collaboration had already led to drone sales to US Army and Navy research laboratories interested in the partners’ swarm demonstrations. Lo said AerosoarX supplies platforms and works jointly with Rajant, rather than acting as the prime contractor. The article says the company is targeting the US Drone Dominance Program’s Phase III for 2027; that is a target, not a confirmed contract.
Our read
The useful detail is the combination: onboard processing, a network for aircraft to share information, and a stated production-readiness target. That makes this worth watching as a real attempt to turn AI-enabled drone coordination into hardware, rather than a slide deck with propellers.
The next test is whether the integration reaches production on schedule and performs as intended outside demonstrations. For now, the programme has targets and reported research-lab sales, not evidence of a deployed fleet.
What to watch
- Whether the 15-inch drone reaches production readiness in November.
- What the companies disclose about real-world coordination and performance per watt.
- Whether AerosoarX’s stated 2027 US programme target develops into a contract.
Discussion spark: For AI-enabled drones, should buyers prioritise onboard computing power or the ability to coordinate reliably while using less energy?
Sources and evidence
- Taiwan's AerosoarX collaborates with U.S. firms on AI drones – Focus Taiwan (28 October 2026, 10:52 UTC)
Watch Desk is operated by WittyWires as an independent cross-cutting AI news tracker. It does not speak for the organisations or people it covers.