Vesoma
Vesoma is a European humanoid robotics company based in Munich, Germany, with a presence in Limassol, Cyprus, founded in December 2025 by Nikolai Ensslen, its chief executive and a co-founder of motion-control and functional-safety company Synapticon, and Peter Skoromnyi, its chief strategy officer and a co-founder of games company Easybrain. Martin Riedmiller, a former research director and control team lead at Google DeepMind, is chief AI officer. Vesoma came out of stealth in September 2026 with a team of more than 60 people, more than 3,500 square metres of lab and office space and its first product, Vesoma 1. The company designed, built and walked its first humanoid prototype, known as Kyle, from nothing to a walking machine of its own design in six months, moving on a policy it learned itself. Vesoma's bet is that robots can learn physical work through their own interaction, exploring and improving by themselves, instead of only copying human demonstrations. It began building the first Vesoma 1 units on 23 September 2026.
💡Notable Achievement: Founded by the co-founders of Synapticon and Easybrain, with Google DeepMind's former research director Martin Riedmiller as Chief AI Officer; commits to no weapons, military or surveillance use.
What Does Vesoma Do?
Vesoma is a European physical-AI company founded in December 2025 in Munich (with a second hub in Limassol, Cyprus) that builds a self-improving learning agent together with the humanoid bodies it runs in; Vesoma 1 targets manufacturing, logistics and warehousing.
“A self-improving physical-AI agent in a humanoid body designed for European industry.”
Self-Improving Agent
A reinforcement-learning agent that learns from its own interaction with the physical world rather than only from demonstrations.
Custom Humanoid Body
Body and actuators designed in-house so the hardware and the learning stack are co-developed.
Functional-Safety Architecture
A humanoid safety architecture and a public commitment to no weapons, military or surveillance use.
What Can Vesoma Robots Actually Do?
Cross-portfolio operational capabilities, manipulation tasks, and environmental competencies
A full-size 170 cm humanoid design aimed at repetitive warehouse and factory work, with first units still being built.
Tote & Parcel Handling
Designed for night-shift warehouse work moving totes, parcels and light-to-medium industrial parts.
Manufacturing-Line Tasks
Targets monotonous line-side tasks in manufacturing where staffing is difficult.
Full-Shift Operation
Hot-swappable batteries are planned to extend the roughly 3–4 hour pack runtime across full shifts.
Safety-Rated Sensing
Multi-camera RGB-D vision, joint torque sensing and safety-rated sensing for work near people.
Vesoma Robots
Showing 1 Humanoid Robots of 1 total model
Vesoma 1
Manufactured by Vesoma
Vesoma 1 is the first humanoid from Vesoma, a Munich-based physical-AI company founded in December 2025. Its design is complete and the first units are being built, with a product unveiling planned for early 2027. The robot is a human-form worker (fabric-clad body and a glossy faceless head) meant to be trained by a self-improving reinforcement-learning agent that learns physical work from its own experience rather than from human demonstrations, targeting manufacturing, logistics and warehousing first. Vesoma has not published its specifications, and all imagery so far is labeled as design visualization.
Vesoma Software & AI Ecosystem
Developer platforms, fleet management portals, autonomy intelligence, and enterprise integrations
Vesoma Self-Improving Agent
Reinforcement Learning on Real Hardware
Data-efficient reinforcement learning that lets the robot improve its own skills through interaction.
Humanoid Functional-Safety Architecture
Supervised Autonomy
Functional-safety supervision layer with remote monitoring around the learned policies.
Vesoma Timeline & Milestones
Evolutionary history, landmark prototypes, major acquisitions, and commercial roadmap
Vesoma founded in Munich
Nikolai Ensslen of Synapticon and Peter Skoromnyi of Easybrain found Vesoma to build self-learning humanoid robots.
Source: humanoidsdaily.com
Vesoma introduces itself and Vesoma 1
Vesoma exits stealth with a team of more than 60 people and its first product, Vesoma 1, after walking its first prototypes in six months.
Source: vesoma.com
Vesoma Competitors by Category
Direct industry rivals grouped by specific robotics domain
What Makes Vesoma Different?
Editorial AnalysisOrigin of Bots objective strategic assessment, engineering moats, and commercial hurdles
Key Strengths & Moats
- ✓Leadership includes the former research director of Google DeepMind as Chief AI Officer.
- ✓Co-founders bring hardware (Synapticon) and scaling (Easybrain) experience.
- ✓Explicit safety and responsible-use commitments suit European industrial buyers.
Core Strategic Focus
Building the first Vesoma 1 units ahead of a planned product unveiling in early 2027.
Road Ahead & Challenges
- •No shipping product yet, and funding is undisclosed.
- •Competes with much better-funded US and Chinese humanoid programs on speed of iteration.
Vesoma vs Key Competitors
Strategic capability matrix across platform categories, commercial readiness, and target markets
Category / Focus
- Vesoma
- Full-Size Bipedal Humanoid
- NEURA Robotics 4NE-1
- European humanoid for industry
- Figure AI Figure 03
- General-purpose industrial humanoid
- Agility Robotics Digit
- Warehouse tote-handling humanoid
- Apptronik Apollo
- Manufacturing and logistics humanoid
Primary Use
- Vesoma
- Warehouse and logistics work
- NEURA Robotics 4NE-1
- Not listed
- Figure AI Figure 03
- Laundry handling, dish handling
- Agility Robotics Digit
- Tote handling, inventory sorting
- Apptronik Apollo
- Warehousing, manufacturing
Weight
- Vesoma
- 75 kg
- NEURA Robotics 4NE-1
- 80 kg
- Figure AI Figure 03
- 61 kg
- Agility Robotics Digit
- 60 kg
- Apptronik Apollo
- 72.6 kg
Battery Runtime
- Vesoma
- 3–4 h
- NEURA Robotics 4NE-1
- 6–8 h
- Figure AI Figure 03
- 5 h
- Agility Robotics Digit
- 4 h
- Apptronik Apollo
- 4 h
| Strategic Dimension | Vesoma(Current) | NEURA Robotics 4NE-1 | Figure AI Figure 03 | Agility Robotics Digit | Apptronik Apollo |
|---|---|---|---|---|---|
| Category / Focus | Full-Size Bipedal Humanoid | European humanoid for industry | General-purpose industrial humanoid | Warehouse tote-handling humanoid | Manufacturing and logistics humanoid |
| Primary Use | Warehouse and logistics work | Not listed | Laundry handling, dish handling | Tote handling, inventory sorting | Warehousing, manufacturing |
| Weight | 75 kg | 80 kg | 61 kg | 60 kg | 72.6 kg |
| Battery Runtime | 3–4 h | 6–8 h | 5 h | 4 h | 4 h |
Corporate Ecosystem & Ownership Structure
Parent company relationships, historical acquisitions, and global operating facilities
Synapticon
Motion-control company whose co-founder also co-founded Vesoma.
Ownership & Acquisition History
Motion-control company whose co-founder also co-founded Vesoma.
Software company whose co-founder also co-founded Vesoma.
Global Facilities & Operating Hubs
Vesoma Headquarters
HQMunich, Germany
Also Limassol, Cyprus.
Frequently Asked Questions
8 AnswersVerified answers, company specifications, and deployment details about Vesoma
What is Vesoma?
Vesoma is a Munich humanoid robotics start-up, founded in December 2025, that builds Vesoma 1, a humanoid designed to learn physical work from its own interaction with the world.
Who founded Vesoma?
Vesoma was founded by Nikolai Ensslen, co-founder of Synapticon, who is chief executive, and Peter Skoromnyi, co-founder of Easybrain, with Martin Riedmiller, formerly of Google DeepMind, as chief AI officer.
What is Vesoma 1?
Vesoma 1 is the company's first humanoid product, revealed in September 2026, with its first units being built after prototypes walked using a policy the robot learned itself.
How is Vesoma's approach different?
Most humanoid makers train on human demonstrations, while Vesoma is building a self-improving physical agent that learns from its own interaction, exploring and refining skills.
How big is Vesoma?
Vesoma has more than 60 people and 3,500 square metres of lab and office space in Munich and Limassol, Cyprus, less than a year after it was founded.
Who is Martin Riedmiller?
Martin Riedmiller is Vesoma's chief AI officer, a former research director and control team lead at Google DeepMind known for work in reinforcement learning.
Where is Vesoma based?
Vesoma is based in Munich, Germany, with a second site in Limassol, Cyprus, and has fitted out more than 3,500 square metres of lab and office space across the two.
How much does Vesoma 1 cost?
Vesoma has not published a price or funding amount for Vesoma 1, which entered early build in September 2026, when the company said its first units were being made.
Verified Data & Editorial Assurance
Compiled from verified corporate filings, official Vesoma datasheets, and robotics engineering registries. Data is monitored and audited on an ongoing basis for accuracy. For commercial procurement or proprietary integrations, contact the manufacturer directly.