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Vesoma Emerges From Stealth With a Humanoid Built to Learn

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  • The European startup behind the Kyle walking prototype has introduced itself as Vesoma, with more than 60 people across Munich and Limassol.
  • Former Google DeepMind research director Martin Riedmiller is chief AI officer. Synapticon co-founder Nikolai Ensslen leads the company alongside Easybrain co-founder Peter Skoromnyi.
  • Vesoma wants robots to learn physical work through their own interactions. Its first Vesoma 1 units are being built, but the published product imagery is explicitly labeled as design visualization.
Design visualization of Vesoma 1 showing a dark face with purple illumination and a fabric-textured neck and upper body.
Vesoma 1 design visualization. The product remains under development; this is not a photograph of a finished robot. Courtesy of Vesoma.

The startup behind Munich’s boxy Kyle humanoid prototype now has a name: Vesoma. The company has emerged publicly with a team of more than 60 people, a first product called Vesoma 1, and a bet that learning through interaction can carry humanoids beyond impressive demonstrations into reliable work.

In its introduction dated September 22, Vesoma says it began work in December 2025 and has fitted out more than 3,500 square metres of laboratory and office space in Munich, Germany, and Limassol, Cyprus. Its September 23 announcement on X says the first Vesoma 1 units are being built.

Humanoids Daily covered the team’s walking Kyle prototype earlier this month, when it was still operating without a public company identity. The launch adds a clearer account of its leadership, intended customers and technical approach.

From Kyle to Vesoma 1

Vesoma says it designed, built and walked its first humanoid prototypes within six months, using a learned locomotion policy. That is an early engineering milestone, rather than evidence that the machines can already perform useful work across a full shift.

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Kyle was previously described by CEO Nikolai Ensslen as an alpha development platform, distinct from the planned first-generation product. At the time, Ensslen targeted an early 2027 product unveiling. The new announcement does not give a customer delivery date or establish that this earlier timetable has changed.

The polished robot images now available in Vesoma’s media kit are labeled design visualizations. Vesoma 1 remains under development, while alpha robots are already in the laboratory. The distinction matters: these images introduce a proposed appearance, not photographs documenting a finished production machine.

A bet on learning through interaction

Vesoma’s central argument is that demonstrations alone will not deliver the reliability customers need. It wants an agent that improves through its own interactions with the physical world, supported by hardware designed around that learning process.

The company points to locomotion as its first example and says the harder work lies ahead: extending the approach to manipulation involving contact, coordinated whole-body tasks and environments where mistakes can damage objects.

This is a research and engineering direction, not a demonstrated general capability. The announcement supplies no manipulation success rates, intervention figures or full-shift customer results with which to assess the proposed advantage over systems trained on human demonstrations. Its criticism of imitation-led approaches should therefore be read as the company’s thesis, rather than a settled verdict on competing methods.

Vesoma’s website identifies manufacturing, logistics and warehousing as its initial markets, with a broader range of work envisaged over time.

Design visualization showing two Vesoma 1 humanoids with purple-lit dark faces, one in focus behind a blurred foreground figure.
Vesoma 1 design visualization from the company’s media kit. The robot remains under development. Courtesy of Vesoma.

DeepMind research meets industrial hardware

The leadership page resolves one question left open in our earlier coverage: Martin Riedmiller, previously a research director and Control Team lead at Google DeepMind, is Vesoma’s chief AI officer.

Ensslen, co-founder of motion-control and functional-safety specialist Synapticon, is co-founder and CEO. Fellow co-founder Peter Skoromnyi, who co-founded games company Easybrain, serves as chief strategy officer. The pairing brings industrial robotics experience together with experience building a large consumer software business.

The team also includes operations chief Jonas Reinecke, formerly of precision-manufacturing company Daedalus. Vesoma identifies Marcelo Gutierrez as head of design, crediting his earlier work on Tesla’s Optimus, Apptronik’s Apollo and Cartwheel’s Yogi.

Vesoma joins the companies examined in our feature on Europe’s humanoid sector in arguing that the region’s industrial expertise can support a competitive robotics business. It also explicitly rules out weapons, military and surveillance uses.

The next meaningful test will be what Vesoma 1 can do beyond walking: which tasks it learns, how much experience that requires, and how reliably it performs when conditions change.

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