Funding

AI Startup Visko Raises $10M in Pre-Seed Funding

Sep 2, 2026 | By Devin Jacobs

SUMMARY

Visko raised $10M in Pre-Seed funding.
The funding will support Orbis and AI research.
Visko develops real-time AI video models.

Visko, a Sunnyvale, CA-based AI research company developing real-time interactive world models, has raised $10 million in a Pre-Seed funding round led by Llama Ventures.

The company will use the capital to advance its AI research, grow its team, and expand public access to its real-time video foundation model, Orbis.

Funding Snapshot

Metric	Details
Fundraise Amount	$10M
Funding Round	Pre-Seed
Lead Investor	Llama Ventures
Company	Visko
Sector	Artificial Intelligence
Headquarters	Sunnyvale, California, USA
Key Product	Orbis

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About Visko

Visko is an AI research company developing Live Models, a class of world models designed to run continuously rather than generate static outputs. Its foundation model, Orbis, creates interactive, physics-grounded video in real time with persistent memory and no fixed length.

Core offerings include:

Real-time video generation
Interactive world models
Physics-grounded AI simulation
Persistent-memory video models

Core Technologies / Products / Services

Capability/Product	Application/Use Case
Orbis	Real-time interactive video generation
Live Models	Continuously running AI world models
Latent world model	Predicting physically plausible future states
Interactive prompting	Real-time changes during video generation

Leadership Comments

"Every real-time system before this faced the same wall: the longer a world runs, the more it falls apart. We built Orbis to hold together — physically, visually and narratively — for as long as you want to stay inside it. Starting today, anyone can see that for themselves at visko.ai," said Qing (Will) Yin, founder and chief executive officer of Visko.

Dr. Michael I. Jordan from UC Berkeley, the Chairman of the Advisory Board of Visko, comments, "Visko is pursuing one of the most ambitious directions in video AI: live, stateful models that continuously perceive, predict, and interact with the world in real time while maintaining physical consistency.