Upgrading Fleets Without Disruption

Diving deeper into

Tencore

Company Report
The difference is not simply hardware versus software: both companies need reliable vehicles today and a path to add greater autonomy without interrupting deliveries or making support unmanageable.
Analyzed 5 sources

The real moat is upgrading a fielded vehicle fleet without breaking the logistics machine around it. Tencore and Ratel both sell robots for jobs that commanders need done every day, moving ammo, hauling wounded soldiers, and carrying engineering gear. That makes reliability, spare parts, training, and easy retrofits just as important as autonomy software, because a smarter robot that slows deliveries or complicates maintenance loses its value fast.1 2 3 4

  • Tencore sits in the fastest growing part of Ukraine’s ground robot market. Logistics and mine laying robots led 61% of 2025 output, ahead of armed and demining systems, because simpler support vehicles reached stronger product market fit and can be used constantly rather than only in niche missions.1
  • Ratel’s path runs through software integration after hardware scale. Its proposed acquisition by Swarmer would pair a proven UGV catalog with coordination software for mixed air and ground operations, but the operational challenge is turning that into dependable fleet behavior without adding support burden for frontline users.2 5
  • Tencore’s partnership route points to a different model. Quantum Systems built its ground push around autonomy kits that keep manual driving available and add teleoperation and automation on top, which is exactly the kind of gradual upgrade path that lets customers adopt more autonomy without taking vehicles out of service.3 4

The market is heading toward mixed fleets where the winning supplier is the one that can ship useful vehicles now, then layer in autonomy through software, sensors, and remote operation over time. That favors companies that treat supportability as part of the product, not as cleanup work after the robot is sold.1 2 3 4 5