Maris-Tech launches Uranus-Drones-V2 AI processing platform for UAVs
Maris-Tech (Nasdaq: MTEK) has announced Uranus-Drones-V2, a compact edge-computing module designed to handle video capture and AI inference aboard unmanned aerial vehicles. The Rehovot-based company says the platform supports up to four ultra-high-definition camera inputs and eight camera inputs in total, with processing performance exceeding 30 tera operations per second.
The board connects directly to a drone's autopilot and integrates onboard inertial and environmental sensors, which the company says enable a high degree of autonomous flight functionality. Maris-Tech positions the design around strict size, weight and power constraints, a requirement commonly summarised in defence procurement as SWaP optimisation. No unit pricing, shipment volumes, or named launch customer were disclosed in the release.
Product details
Uranus-Drones-V2 is intended to support several mission profiles, including wide-area surveillance, target tracking, and loitering munitions, a category of single-use, fixed-wing or rotary drone that hovers until a target is identified. Israel Bar, chief executive of Maris-Tech, said the platform reflects "deep understanding and extensive experience in the drone market, gained through thousands of operational deployments" and delivers what the company describes as impressive performance at low power and weight. The company expects the platform to generate orders from both existing and new drone manufacturers, though it has not disclosed a customer pipeline or committed contract value.
Maris-Tech also supplies video and AI processing systems for uncrewed ground vehicles, armoured vehicles, and dismounted soldier systems, suggesting Uranus-Drones-V2 draws on a broader hardware lineage rather than being a ground-up design.
Market context
The market for edge AI compute modules in defence UAVs has grown substantially as militaries prioritise lower communications bandwidth and reduced data-link latency. Onboard inference reduces the need to stream raw video to a ground station, which matters in contested electromagnetic environments. Competing in this space are specialist vendors such as Expeditionary-ISR-focused companies and larger defence-electronics primes that integrate proprietary AI accelerators into payload management systems.
At 30-plus TOPS, the Uranus-Drones-V2 platform sits in a tier occupied by mid-range AI inference chips from the mainstream embedded-compute ecosystem, though Maris-Tech has not named the underlying silicon. The loitering-munitions use case is politically and regulatorily sensitive: several jurisdictions are debating or have introduced controls on autonomous targeting systems, and export of such platforms from Israel is governed by the Israeli Ministry of Defence under its defence-export licensing regime.
Regulatory read-across
Israeli defence-technology exporters operate under the Wassenaar Arrangement for dual-use goods, and UAV-mounted AI inference systems with autonomous flight capabilities may require end-user certificates and re-export controls in certain markets. In parallel, the EU AI Act classifies certain autonomous weapons-adjacent systems as prohibited or high-risk depending on the degree of human oversight retained, which could affect any European commercial or government procurement path for the platform.
Maris-Tech has not yet reported commercial revenue attributable to the Uranus-Drones-V2. Investors and prospective customers will be watching for named orders, silicon disclosure, and formal export clearances as the platform moves towards production volumes.