NdotLight raises early VC to scale robotics training-data platform
What's the deal? NdotLight, a Seoul-based 3D modelling and synthetic data generation platform for robotics, has raised an early VC round of undisclosed size. Backers include Trepont Fund, Samsung VenturesDealroom has a profile for this one. Try Dealroom →, NH Venture InvestmentDealroom has a profile for this one. Try Dealroom →, and the Korea-Israel Industrial R&D FoundationDealroom has a profile for this one. Try Dealroom → (KORIL).
What's the endgame? Led by co-founder and chief executive officer Jay Park, NdotLight develops a proprietary 3D engineering platform for spatial modelling, programmatic synthetic data generation, and physics-based simulations. The company positions itself as the robotics equivalent of what Scale AIDealroom has a profile for this one. Try Dealroom → provides for large language models.
Why now? The platform lets automation developers and industrial manufacturers generate verified training datasets at scale, reducing reliance on slow physical real-world capture cycles.
The new capital will fund three priorities: scaling the proprietary 3D engine, expanding its automated synthetic data pipeline, and accelerating commercial partnerships across manufacturing, defence, and humanoid robotics.
The signal: Robots need vast, verified training data, and gathering it physically is slow and costly. NdotLight is betting synthetic data can fill that gap—and its investor mix, spanning Samsung Ventures and a Korea-Israel R&D fund, points to cross-border interest in the infrastructure layer beneath the robotics boom.
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