TL;DR
Ukraine’s Ministry of Defense is opening protected access to battlefield drone imagery through Avengers Labs, a Brave1 partnership platform for defense AI developers. Companies can train models on annotated combat footage inside a secure Dataroom, while Ukraine keeps the improved models for its own military systems.
Ukraine’s Ministry of Defense is letting defense companies train AI models on a protected archive of annotated combat drone footage through Avengers Labs, a Brave1 platform that gives Kyiv a new way to convert battlefield data into improved military software.
The program gives Ukrainian and foreign defense firms controlled access to millions of labeled visual and thermal frames collected during tens of thousands of drone missions, according to Ukrainian defense reporting cited in the source material. The data includes hard battlefield cases such as camouflaged vehicles, night targets, fog, rain, muddy terrain and drone sightings under electronic-warfare pressure.
Companies do not receive the raw combat footage. They train, test and fine-tune models inside the Brave1 Dataroom, a protected environment built by the Defense Ministry, the Ministry of Digital Transformation, the Armed Forces, a military-intelligence research institute and Palantir, according to the source material. The core term is that Ukraine receives the finished or improved models after the work is done.
More than 100 Ukrainian companies already have Dataroom access, according to the source material. International developers are being brought in through Avengers Labs, while the related Avengers detection platform feeds VEZHA inside DELTA, Ukraine’s battlefield-management system.
Avengers Labs
Ukraine’s Ministry of Defense is renting access to the world’s only large-scale, real-war computer-vision dataset. The terms: train your model inside the protected Dataroom — Ukraine keeps the finished AI.
Inside the Dataroom
- Structured visual & thermal imagery of aerial and ground targets
- Hard cases: camouflaged armor, night, fog, rain, multiple sensors
- Feeds the Avengers platform inside the DELTA / VEZHA system
- Focus track: automatic detection & interception of enemy drones
The goal
- 100% of frontline drones with onboard machine vision
- Autonomous navigation in GPS-denied / jammed (EW) skies
- Autonomous Shahed interception — human keeps the trigger
- Scaling vs. Shahed launches rising ~35% / month
Combat Data Becomes Leverage
The program matters because high-quality battlefield data is one of the main limits on military computer vision. Models trained on clean test images can miss targets when smoke, tree cover, poor light, sensor noise or jamming change the visual field. Ukraine's archive is valuable because it was recorded during real missions, under conditions that commercial datasets and simulation tools may not capture.
For Ukraine, the structure turns wartime data into a force multiplier without handing away the underlying archive. For defense companies, the Dataroom offers access to a training set they are unlikely to build on their own. For allied militaries, it points to a wider shift: battlefield advantage may depend as much on owning validated training data as on building the model itself.
AI training datasets for drone footage
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Fedorov's Drone-AI Push
Mykhailo Fedorov, who previously led Ukraine's digital transformation work and helped drive the Army of Drones effort, became defense minister in January 2026, according to the source material. Ukrainian officials have since framed data, autonomy and drone production as linked priorities for a war shaped by mass unmanned systems and Russian electronic warfare.
The existing Avengers platform was developed by the Defense Ministry's Innovation Center to detect, classify and track hostile targets from drone and camera feeds. The ministry says the system flags about 12,000 enemy units per week. Ukraine has also identified automatic detection and interception of enemy drones, including Shaheds, as a focus track while keeping human control over weapon release, according to the source material.
"Millions of annotated frames gathered across tens of thousands of combat drone sorties"
— Mykhailo Fedorov, Ukraine's defense minister
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Access Terms Stay Limited
Several details are not yet clear from the available material. The public record does not spell out how foreign firms are selected, what commercial rights they retain, how exported model weights are audited, or how sensitive battlefield footage is filtered before developers see it.
Ukraine's reported detection figures also come from ministry accounts, not an independent audit. It is unclear how often Dataroom-trained models improve performance in live combat, how quickly those models can be deployed to frontline drones, and what limits allied governments may place on foreign participation.
Caplinked Data Room Software: User Guide
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Models Move Toward Field Use
The next test is whether Avengers Labs can turn partner work into deployed models fast enough to affect drone operations. Ukrainian officials have set goals that include onboard machine vision across frontline drones, navigation in GPS-denied skies and more automated detection of Shahed-type attack drones, according to the source material.
More updates are expected from the Defense Ministry, Brave1 and participating firms as international access expands. The key measure will be whether the protected-data model yields software that Ukrainian units can use at scale while preserving the archive Kyiv now treats as a strategic asset.
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Key Questions
What is Avengers Labs?
Avengers Labs is a Ministry of Defense partnership platform inside Brave1 that gives defense AI developers controlled access to Ukraine's annotated combat-drone data, according to the source material.
Is Ukraine selling raw combat footage?
No. The described model keeps raw data inside the protected Brave1 Dataroom. Companies train models there and Ukraine receives the improved models.
Why is the data valuable?
It comes from real drone missions under combat conditions, including night, weather, camouflage, sensor variation and electronic warfare. Those cases are difficult to reproduce with scraped imagery or synthetic data.
Does this mean drones choose targets on their own?
The source material says the current pitch centers on detection, tracking, navigation and interception support, with human control kept over weapon release. How individual models will be deployed is still not fully public.
Who can use the Dataroom?
More than 100 Ukrainian companies reportedly have access. Foreign developers are being added through the Avengers Labs partnership layer, but selection rules and contract terms have not been fully released.
Source: Thorsten Meyer AI
