> ## Content Index > Fetch the complete content index at: https://www.battlepolicy.com/llms.txt > Use this file to discover other available public pages before exploring further. # A Ukrainian AI Targeting Module Just Won a Route Into NATO's Test Pipeline. It Has No Hardware. - URL: https://www.battlepolicy.com/a-ukrainian-ai-targeting-module-just-won-a-route-into-natos-test-pipeline-it-has-no-hardware/ - Published: 2026-09-08T16:39:34.000Z - Updated: 2026-09-08T16:39:34.000Z - Description: The software could make strike systems more autonomous under Russian jamming, but the developer needs drone and missile manufacturers to carry it into combat. - Author: Marcus Schuler - Tags: Ukraine, Autonomy, #daily-brief, NATO, Allied Command Transformation, JATEC, LPP Holding, Supercluster, Palantir *The software could make strike systems more autonomous under Russian jamming, but the developer needs drone and missile manufacturers to carry it into combat.* An unnamed Ukrainian AI company took third place in NATO's 19th Innovation Challenge, concluded in Warsaw on Sept. 4, [Allied Command Transformation](https://www.act.nato.int/article/19-innovation-challenge/?ref=battlepolicy.com) announced. The result gives its targeting module a route into further NATO development, experimentation and testing. The module supports resilient navigation, target recognition and integration across multiple platforms, ACT stated. It is designed for contested environments where satellite navigation or a continuous operator link cannot be assumed. [Ukraine's Ministry of Defence](https://mod.gov.ua/en/news/blocking-enemy-airfields-ukrainian-company-among-winners-of-nato-competition?ref=battlepolicy.com) said the software aims to increase the autonomy and accuracy of strike systems. Frequently Asked Questions What did the Ukrainian company actually win? Third place in NATO's 19th Innovation Challenge, "Persistent Airfield Denial," concluded in Warsaw on Sept. 4, per Allied Command Transformation. The three winners share 250,000 euros, and winning teams may receive funding and enter development, experimentation and testing inside ACT's experimentation ecosystem. Why is the company not named? Ukrinform said the company's name and the name of its head are withheld for security reasons. The head uses the call sign Wild Cat. What does the module do? ACT described it as an AI-based autonomy system for uncrewed aircraft in contested environments, focused on resilient navigation, target recognition and integration across multiple platforms. Ukraine's Ministry of Defence said it is a targeting module meant to raise the autonomy and accuracy of strike systems. Is the claim that it makes strikes 10 times more effective verified? No. That figure comes from the company's head, Wild Cat, in a comment to Ukrinform, and no independent test data supports it. He also said the module can run on UAVs or missiles. Who else won? Czech company LPP Holding took first with an autonomous long-range uncrewed strike system for GPS-denied and electronically contested environments, and Poland's Supercluster took second with StratoAIM, which uses high-altitude balloons to position autonomous gliding systems, per ACT. When could it reach combat use? Ukraine's Ministry of Defence said testing and combat testing come next. Wild Cat told Ukrinform he expects a range presentation within weeks, then flight and combat trials, a small production batch and full production, putting his preliminary estimate at six to 18 months. AI-generated summary, reviewed by an editor. [More on our AI guidelines](https://www.battlepolicy.com/ai-guidelines/). Below this point 5 more sections. The company's head, identified by the call sign Wild Cat, claimed the module could make strikes on Russian airfields 10 times more effective. It can run aboard UAVs or missiles, he told [Ukrinform](https://www.ukrinform.net/rubric-ato/4161961-ukrainian-ai-company-after-nato-competition-effectiveness-of-strikes-on-russian-airfields-could-increase-tenfold.html?ref=battlepolicy.com). The company has worked on airfield strikes since 2022 and assembled training databases it considers unique. He benchmarks it against Palantir Technologies, which supplies AI for Hornet strike drones, and rated Palantir stronger on logistics while placing his own module ahead on airfield operations. The competition drew more than 60 applications, and nine teams presented in Warsaw, according to ACT. Czech company LPP Holding won with an autonomous, long-range uncrewed strike system built for GPS-denied and electronically contested environments. Poland's Supercluster finished second with StratoAIM, which uses high-altitude balloons to position autonomous gliders. The Ukrainian company sells software modules, not airframes. Fielding therefore depends on drone or missile manufacturers. Wild Cat disclosed that the company reached a joint-production agreement with a foreign company and a cooperation deal with a Ukrainian manufacturer during the event. The three winners share 250,000 euros. Wild Cat estimated the prize money at roughly 5% to 7% of the project's current costs, and described the NATO recognition as the more valuable half, an argument for investors and industrial partners. Ukraine's Ministry of Defence said testing and combat trials come next. Wild Cat expects a range presentation within weeks, followed by flight and combat trials, a small production batch and full production. He put the preliminary timeline to combat use at six to 18 months.