Synthium
About
About Synthium
Synthium develops a robot-learning data platform that turns human interaction in simulations into labelled multimodal training data. Participants contribute motion, voice, language and decisions through interactive tasks, providing examples for vision-language-action models and humanoid behaviour. The Boston-based company combines simulation, human participation and model training, with backing from Antler and Liminal, a Temasek-backed venture studio.
The simulation platform is live, while work with physical humanoids focuses on research and sim-to-real validation. Synthium has signed a research collaboration agreement with A*STAR and is developing a Singapore testbed described with Unitree and Weston. Its planned Synthium Brain application for real robots sits on a 2026–2027 roadmap. Co-founders Nicolas Duval and Nicolas Savva bring software-platform, computer-graphics and simulation experience from Autodesk, with Duval also having worked on Adobe Express.
Operations
Team
- Nicolas Duval - Co-founder and CEO - Leads Synthium’s vision, business strategy and the platform that turns human interaction into robot-training data.
- Nicolas Savva - Co-founder and CTO - Owns Synthium’s technical roadmap and core platform architecture for simulation-based robot training data.
- Endri Deliu - Strategic Advisor and Investor - Advises Synthium on AI systems and machine-learning infrastructure.
- Philip Chan - Strategic Advisor - Advises Synthium on venture building and early-stage growth.
Timeline
Events
- 2026-05-27 - Demonstration - Synthium exhibits in Startup Alley at Robotics Summit 2026
Synthium was one of 13 MassRobotics resident startups showcased in Startup Alley. The Robotics Summit & Expo ran May 27-28, 2026 at the Boston Convention Center. MassRobotics described the showcase as highlighting resident companies advancing robotics and physical AI automation.
Source
Relations
Relationships
- MassRobotics
Massrobotics Resident Startup - Synthium is listed in the MassRobotics resident startup directory.
- A*STAR
Research Collaboration - Synthium and A*STAR are collaborating on robot-learning research and real-humanoid validation.
Context
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stack adjacency - Robotics Data Infrastructure Layer
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Shared workflows
- LabyrinthAI
workflow adjacency - Robot Learning Data Collection
- Mind Robotics
workflow adjacency - Robot Learning Data Collection
- SenseGlove
workflow adjacency - Robot Learning Data Collection
- Vision Lab
workflow adjacency - Robot Learning Data Collection
- MANUS
workflow adjacency - Robot Learning Data Collection
- Trossen Robotics
workflow adjacency - Robot Learning Data Collection
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workflow adjacency - Robot Learning Data Collection
- StretchSense
workflow adjacency - Robot Learning Data Collection
- XDOF
workflow adjacency - Robot Learning Data Collection
- Maniformer
workflow adjacency - Robot Learning Data Collection
- Jiiov / 极豪科技
workflow adjacency - Robot Learning Data Collection
- Hub
workflow adjacency - Robot Learning Data Collection
Context tags
- Humanoid training simulation platform - Peer Group - Synthium interactive simulation platform generates humanoid training data. https://www.synthium.xyz/about
- Robot learning data collection - Workflow - Live human-interaction sessions collect motion, voice, language and decision data in simulation for robot policy training. https://www.synthium.xyz/
- Robotics data infrastructure layer - Stack Layer - Synthium supplies structured multimodal data for robot learning. https://www.synthium.xyz/about