Pioneering in Spatial AI
Enter
Reshaping the discrete world into a digital continuum with World-Engine.
Overview
Zeno is a comprehensive platform designed to create a persistent, shared digital layer over the physical world. Our mission is to establish a set of models and a robust system to describe and connect the physical world with dynamic virtual worlds.
This platform offers a business model of next-generation interaction, which could utilize and digitize the space of the physical world. There are many ideas such as AR experiences, robots or AI agents tasks, digital ads, space monetization etc.
Real World Understanding
Spatial Intellgence
High precision fused visual positioning algorithm and vision world model for the platform to determine a pose of an agent in the real world, with the agent's camera and other sensor signals.
Blended Universe for
Humans, Robots & AI Agents
By digitizing physical spaces and overlaying multiple parallel virtual worlds, we offer a blended universe for real world agents, including human beings, robots, smart devices, and virtual world agents, including human controlled avatars, AI-powered NPCs, and other bot-like programs to live together.
Architecture
About us
Yizi Wu
Yizi is a seasoned technology leader and entrepreneur with over 18 years'
experience in software engineering and AI. Yizi was the co-founder of
DeepMirror, an AI company that pioneers spatial intelligence technologies
which bridge the digital and physical worlds. By combining World Model and
spatial perception, DeepMirror enables robots, autonomous vehicles and AR
glasses to understand and interact with real-world environments in real time.
At DeepMirror, Yizi led the development of the overall AI architecture and
World Model.
Yizi previously spent nearly 14 years at Google as Technical Lead Manager,
one of the early members of Google X, contributing to AI products such as
Google Glass, Google ARCore, Google Lens (Multimodal AI Search), and the Google
Developer Platform. He hold both a Master's and Bachelor's degreein Computer
Science from Zhejiang University, including studies at the prestigious
Chu Kochen Honors College.
Taoran Chen
Taoran was previously the Research Scientist of DeepMirror. At DeepMirror,
Taoran led the research of the AI modelling and algorithms.
Taoran is a mathematician with a strong academic background. He holds a BSc in
Mathematics from MIT and a PhD in Mathematics from Cornell University. He was
trained in advanced mathematical theory and problem-solving at two of the world's
leading institutions. His research in Galois theory taught him to study the deep
symmetries underlying algebraic equations. This involves recognizing hidden structures,
reasoning about invariants and working with abstract groups, which translates naturally
into spatial intelligence, a field that seeks to uncover the structural rules of the
physical world. He was a USAMO winner (one of the top 12 scorers on the United States
of America Mathematical Olympiad).
Kevin Chen
Kevin was previously the CFO of DeepMirror. There, he led the company's finance, fundraising,
and strategy.
He has over 16 years of experience in investment and financial management in the US and Asia.
He has held senior roles at leading firms such as Fosun Group, J.P. Morgan, and Morgan Stanley.
His areas of expertise include alternative investments and buyouts. Kevin holds a master's
degree from Columbia University.
Harry Hu
Harry is a Senior Advisor on Science and Technology to the several Government bodies.
With a cross-disciplinary background in AI, spatial intelligence, autonomous driving
and chip design, Harry holds 13 patents and has led two government research projects
with nearly USD 70M in funds.
Harry co-founded DeepMirror, an AI company that pioneers spatial intelligence
technologies which bridge the digital and physical worlds. Prior to DeepMirror,
Harry was COO and CFO of Pony.ai, a NASDAQ listed autonomous driving company.
He drove Pony.ai's growth into Asia's first autonomous driving IPO candidate,
and now integrates spatial AI with embodied robotics to push intelligent systems
from labs into full real-world deployment.