About us
At Osmosis AI Convergence
At Osmosis AI Convergence, we are reshaping the future of autonomous mobility through Embodied AI, paving the way from assisted to fully automated driving. Founded with a singular vision—to retrofit any vehicle to be self-driving, anywhere, at any time—we are dedicated to making universal autonomy a reality.
Our approach mirrors human perception, relying primarily on sight and simplified sensor applications. Unlike many tech companies that increase the number of sensors and functions—overcomplicating processes and introducing more potential errors—we focus on streamlining the system. By simplifying sensor usage, we reduce complexity and enhance reliability.
Having developed our fundamental system, we are now seeking investment to adapt this technology for a small electric van. This next phase involves rigorous testing, certification, mass development, and establishing a robust sales funnel.
For the past two years, we have been accelerating the transition to self-driving technology with software solutions that enable businesses to deploy autonomy into their operations safely, securely, and efficiently. Today, we stand at the forefront of innovation, committed to transforming the landscape of autonomous mobility.
Vision-The future of mobility
Widespread AI technology, like the natural process of osmosis, makes advanced AI technology accessible to everyone.
Mission
To create the simplest and safest device in the market, enabling any vehicle to be autonomous and controlled simply using vision, thus driven like human.
Meet the Teams
Tony Ho
Founder
Tony is the visionary founder of Osmosis AI Convergence Limited, bringing his expertise as a computer vision specialist and developer of autonomous driving algorithms to the forefront of the company. His dedication to creating solutions that positively impact lives fuels Osmosis AI’s pioneering advancements in technology.
Zhang Wei
Algorithm Lead
Wei is an Algorithm Lead specializing in self-driving car algorithms. He holds a degree from Tsinghua University, one of China’s top academic institutions. With over 9 years of experience working at IBM, Zhang has developed a strong background in advanced computing and machine learning, which he now applies to the field of autonomous driving. His expertise spans various algorithmic solutions that drive the development of safe and efficient self-driving technologies.
Leo Francis
Robotic Lead Drive by wire
Leo Francis is a Robotics Lead specializing in drive-by-wire systems for autonomous vehicles. With a strong foundation in programming languages, frameworks, and hardware systems, Leo combines technical expertise with hands-on experience in designing and managing integrated system servers to ensure optimal performance and stability.
Global Investors
Our investors are enabling our revolutionary approach to autonomous vehicles.