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training robots
made easy

We are building a better future where humans and machines collaborate as partners for the benefit of mankind

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Genuine cooperation between artificial intelligence & humans

There are close to 8 billion people on this planet who have an excellent intuitive understanding of human motion. How can we utilize this collective knowledge to train the future generation of humanoid robots?

Mollia’s mission is to empower regular people to teach fundamental skills to humanoid robots through an intuitive interface

Human centered AI Engine

We believe that humanoid robots will become an essential part of our day-to-day lives. We developed the Mollia AI Engine to make it easy for people to communicate with robots in the future.

Adaptive & Trainable

Highly adaptive and trainable software for the kinematic control of our virtual humanoid robot, called Babu.

Realistic Training Environment

The current virtual training environment is implemented in Bullet Physics which we keep within realistic settings.

Platform technology

The software will come with a toolkit for developers creating the path to many novel kinematic-ai based applications.

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Language-like learning system

That describes motion in terms of a unified system of geometric building blocks (words) and a set of high level rules (grammar).

Skill transferability

We developed a more natural approach to robotic intelligence that is able to possess highly transfarable kinematic skills.

Generative learning model

The learning process records principles, hence Babu have the ability to generate its own kinematic solutions for problems.

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Our technology has multiple use cases in the following industries: entertainment (video games, e-sports, film), robotics (humanoid, industrial), healthcare (orthopedic, exoskeletons), space exploration, and defense.

Gaming & E-Sport


We plan to develop a series of play-to-earn NFT and blockchain based video games that uses Mollia’s AI motion engine, where people can train virtual athletes that can compete with each other. Every virtual avatar is a living NFT that can evolve by learning real, actual skills taught by its human owner (coach). The learned skills can be transferred from one game to another, keeping the well trained athletes very valuable across the Metaverse .

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AI & Robotics


Adaptive and trainable robots have many industrial applications, for example when work has to be carried out in hazardous environments. We can use the user generated motion data from the video games to improve the kinematics of physical humanoid robots. Moreover, the best virtual robot trainers might find themselves landing a job at robotics companies to train their actual hardware.

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Later on we plan to give access to the technology through an API that will benefit other industries, such as the healthcare. For example, patients would be able to train their robotic prosthetic parts to function just like their body parts would. Exoskeletons could be train to adopt to the unique motion of their users.

Let's collaborate

We strive to achieve a qualitative change in human-machine interaction. Here is how we want to make it happen.

Download our Vision Deck

The Leadership Team

"Great things in business are never done by one person. They're done by a team of people." Mollia's founding team has over 100 years of experience in venture building, mathematics, psychology, software development, and finance. We are proud that our team is constantly growing and now there are 12 of us working towards our vision: to make robots move like humans.
Ignac Siba

Ignac Siba

Ignac is a Serial Entrepreneur, Angel Investor and Economist, who used to be the regional CFO at Citigroup at CEEA. After his Citi career, he was Managing Director at Economic Development Operation Program, responsible for deploying $3.6Bn. Board member of multiple companies.
Nix Maxwell

Daniel Vincz

Daniel is a Serial Entrepreneur and Computer Engineer. Along with other businesses, he co-founded the INPUT Program, a UN Global Best practice program supporting Hungarian startups. He received the ‘Legend Award’ in Malaysia (2019) and the ‘2050 Youth Award’ in China (2020).
Andras Joo

Andras Joo

Andras holds a PhD. in Psychology. He is a Serial Entrepreneur who has successfully launched and sold multiple businesses. Before, he used to be the Head of the Laboratory at the Hungarian National Institute of Psychology. Andras developed the mathematical foundation of Mollia, with the initial idea going back to 1998.
Daniel Joo

Daniel Joo

Daniel holds a PhD. in Mathematics. He has been a Researcher at Alfréd Rényi Institute of Mathematics of the Hungarian Academia of Sciences since 2014 and has published numerous articles in international publications. He is the lead developer of the core mathematical models for Mollia AI.

If you believe that future video games and robotics should be owned by the community, we want to hear from you. Let's redefine E-Sport so that we can disrupt robotics.

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Development Milestones

You can follow the development of our virtual robot, Babu, from the very beginning. It's been a long and rocky journey so far, with lots of dead ends and failures, but we did not give up (neither did Babu), and today Babu is capable of learning from humans. And this is just the beginning.

We are looking for mentors , advisors , partners who wants to join us on this journey to make this vision a reality.

Let's Start a Conversation

As Alexander Graham Bell put it: "Great discoveries and improvements invariably involve the cooperation of many minds." If you are interested in AI, robotics, gaming, e-sport, blockchain, NFT, business, marketing, startups, or just want to talk, let's start a conversation. Let's build something extraordinary together.

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