Allonic secures $7.2M in Hungary’s largest pre-seed round, backed by OpenAI and Hugging Face angels, to reinvent how robot bodies are built.
A 15-person robotics startup in Budapest has closed what it calls the largest pre-seed funding round in Hungarian history — and it is targeting one of robotics’ most stubborn bottlenecks: the body itself.
Allonic has raised $7.2 million in a round led by Visionaries Club, with participation from Day One Capital and angel investors affiliated with OpenAI and Hugging Face.
While much of the AI boom has centered on intelligence — models, agents and autonomy — Allonic is betting that hardware remains the harder frontier.
Reinventing the Robot Body
Traditional robotic systems are still assembled piece by piece: bearings, screws, cables and joints painstakingly fitted together. The process is costly, time-consuming and mechanically constrained.
Allonic’s answer is what it calls “3D Tissue Braiding,” a proprietary production method that replaces manual assembly with a continuous, automated manufacturing process.
Inspired by the structural strength of rope, the system 3D-weaves customized robotic “tissues” over a skeletal core. Tendons, joints and load-bearing soft structures are formed together in a single operation rather than assembled from hundreds of discrete components.
The result, the company says, is robotic hardware that is strong yet compliant — and far simpler to manufacture at scale.
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Hardware as the Hard Problem
Since unveiling its technology in 2025, Allonic says it has completed its first pilot project in electronics manufacturing and is seeing inbound interest from humanoid robotics companies and major consumer technology firms, including U.S. players.
“A lot of attention is on intelligence and software, but hardware still holds many of the hardest problems,” said Benedek Tasi, Allonic’s co-founder and chief executive.
“The trade-offs between durability and softness, dexterity and strength have always been dictated by the limits of manufacturing,” he said. “We are removing those constraints and building a platform that allows robotics teams to design, build and iterate freely, without hardware cost or complexity holding them back.”
If the promise holds, the implications extend beyond cost savings. “Being able to go from idea to physical robot in minutes instead of weeks fundamentally changes how we can think about robotics design,” Tasi added.
At a moment when AI labs are racing to make robots smarter, Allonic is wagering that whoever masters how they are physically built may shape the next phase of the robotics economy.
