DoD Solution

DoD Solution is an Estonian-Ukrainian defence-tech startup, founded in 2023 by the Lviv-based entrepreneurs Ivan Oleksii and Nazar Kravchuk, that develops drone-autonomy modules combining its own single-board computers with an AI stack for navigation, object recognition and terminal guidance. Its platform, AURA, is built to let FPV, fixed-wing and interceptor drones keep flying and striking when GPS and the radio link are denied under active electronic warfare, without an operator in the loop for the final approach. The company supplies both the embedded hardware and the software that runs on it, and its terminal-guidance solution for FPV drones is ready, with versions for fixed-wing platforms and interceptors still in development. The founding team’s drone work grew out of the volunteer “Banderomobil” initiative begun in 2022.

The firm employs roughly 25 people and is a resident of Ukraine’s defence-tech cluster Brave1 . It delivered an auto-guidance system to military units in 2025, reporting around 80 percent effectiveness in testing, and in early 2026 it changed leadership — Roman Hapachylo became chief executive, with co-founder Kravchuk moving to a product role. Around the same time the company opened a pre-seed funding round, targeting on the order of €1 million, drawing in the US-Ukrainian fund Network.VC Defense and the Angel One Fund as it pushes toward mass production and international markets.

DoD Solution works in the same GPS-denied autonomy niche as The Fourth Law , Dwarf Engineering and Dropla Tech , competing to keep Ukrainian drones on target as both sides escalate electronic warfare along the front. Its roadmap reaches beyond single-drone guidance toward coordinating several drones at once — one operator directing a group of aircraft into a strike zone — and toward higher-performance onboard computers for fixed-wing platforms and interceptors. As with most firms in this segment, its performance figures come largely from the company and its own testing rather than from independent evaluation.