Veeda AI
About
About Veeda AI
Veeda AI is developing multimodal world models that learn physical dynamics from sensor data and generate interactive simulated environments. Those environments are intended to let embodied agents practise tasks, fail and receive feedback at a scale that would be costly or unsafe on physical hardware.
Its approach links world generation with interactive robot learning, practice and evaluation. Veeda was founded in 2026 by former Nvidia researchers Sanja Fidler, Zan Gojcic and Huan Ling and operates from Toronto, Mountain View, Zurich and Singapore.
Funding
- 2026-08-19 - Seed - Veeda AI raises more than US$90M in seed financing
Veeda AI raised more than US$90 million in one seed round co-led by Khosla Ventures and Radical Ventures to build multimodal world models for embodied-agent training. - source: radical.vc
Investors
- Khosla Ventures - Lead - VC - 1 funding event - first seen 2026-08-19
- Radical Ventures - Lead - VC - 1 funding event - first seen 2026-08-19
Team
- Sanja Fidler - Co-founder & CEO - Co-founded Veeda and leads its strategy for multimodal world models and interactive Physical AI simulation.
- Zan Gojcic - Co-founder & CTO - Co-founded Veeda and leads the technical development of its multimodal world-model and simulated-environment stack.
- Huan Ling - Co-founder & Chief Scientist - Co-founded Veeda and directs the scientific programme behind its physical-world models and interactive learning environments.
Timeline
Events
- 2026-08-19 - Funding - Veeda AI raises more than US$90M in seed financing
Co-founders Sanja Fidler, Zan Gojcic and Huan Ling previously worked in Nvidia’s spatial-intelligence research organisation. Veeda is building simulated environments in which embodied agents can learn through repeated interaction and feedback before transfer to physical systems.
Source
Context
Comparable profiles
- Physical Intelligence
stack adjacency - Robot Learning Infrastructure
- XYZ Embodied AI
stack adjacency - Embodied AI World Models
- Aether AI
stack adjacency - Embodied AI World Models
- MAUM.AI
stack adjacency - Embodied AI World Models
- ForgeAI
stack adjacency - Embodied AI World Models
- XIRRA
stack adjacency - Embodied AI World Models
- Simple AI / 深朴智能
stack adjacency - Embodied AI World Models
- Simate
stack adjacency - Robot Learning Infrastructure
- Stanhope AI
stack adjacency - Robot Learning Infrastructure
- DexForce
stack adjacency - Embodied AI World Models
- Knowin (诺因智能)
stack adjacency - Embodied AI World Models
- XDOF
stack adjacency - Robot Learning Infrastructure
Context tags
- Embodied AI world models - Stack Layer - Veeda directly develops multimodal world models for embodied-agent learning.
- Robot-learning infrastructure stack - Stack Layer - Interactive simulated environments are the company's core robot-training infrastructure.
- Simulation - Stack Layer - Veeda generates simulated physical environments for training and evaluation.