The next chapter of intelligence

If AGI is to serve humanity, we must change course.

The intelligence age at a crossroads

AGI 2.0 is the reset

Artificial General Intelligence was meant to elevate humanity but today’s AGI race runs on one idea: bigger models, bigger budgets, ever-larger infrastructure.
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That path leads to one outcome: a world where only a handful of corporations control intelligence itself.

AGI 2.0 is the reset. It’s a shift from model-centric, scale-obsessed AI to adaptive, context-aware intelligence that learns continuously, efficiently, and in real time.

What AGI 2.0 stands for

Standard 1:
Cost-efficient models learning during inference

Today, the costs of developing AGI systems are prohibitively high. To overcome this hurdle, models must be able to learn and adapt while they are being used (during inference), and do so without dramatically increasing costs. This shift from massive one-off training runs to continuous, lightweight learning would break the current economic bottleneck.

Standard 2:
Full ownership and control of models and data

The lack of clear ownership and intellectual property rights is a major barrier to progress. If the goal is truly to empower people, they must be able to own their machine learning model outright, not just rent access from someone else.

They must also own and control the data they use to train or fine-tune that model, including where it is stored, how it is used, and who can access it. And they must retain the intellectual property created through their models and data, ensuring that private training data doesn’t simply become free fuel for someone else’s platform.

Standard 3:
Dynamic interface powered by natural language

Today’s static, pre-designed software interfaces are another barrier to AI adoption. Users must learn the tool before they can benefit from it.

By contrast, a dynamic, natural-language-driven interface would let users simply describe what they want in plain language and have the system build or adapt the interface on the fly. In short, AI should adapt to the user, not the other way around.

The foundations of an open intelligence era

AGI 2.0 is designed to be owned, shaped, and governed by the many, not the few.

Sustainable intelligence creation

AGI shouldn’t cost billion-dollar to train and serve.

AGI 2.0 makes intelligence affordable by enabling models to learn during inference, not through endless retraining cycles. This keeps innovation open, competitive and economically accessible.

Ownership and
sovereignty

True empowerment requires true ownership.

AGI 2.0 protects the right to build and fully own your intelligence without feeding it into someone else’s platform.

Adaptive and interoperable intelligence

Intelligence should evolve with you.
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AGI 2.0 replaces static plug-ins and siloed tools with systems that adapt in real time, reason across contexts, and connect to each other seamlessly.

Impact

Why it matters

AGI 1.0 built on scale and static training has reached its limits. Its economics don’t work. Its power is too concentrated. And it leaves most of the world in the role of users, not owners.

‍AGI 2.0 is a course correction.
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It turns intelligence into infrastructure and puts its creation back in their owner's hands. If we get this right, AGI will become the great equaliser of the Intelligence Age, not its gatekeeper.

"We must ensure that intelligence itself remains a public good, not a private empire."

Dr. Yichuan Zhang
CEO & Chief Research Officer

Our values

Our values reflect the future we’re working towards for our team, our technology and the world we serve.

We build with purpose

Every product we create is designed to solve real problems, deliver meaningful impact, and move the world forward responsibly.

We drive impact

We measure success by the value our technology creates, not the noise it generates.

We simplify

We design technology that feels natural and intuitive.

Experience

Our teams

We are researchers, engineers, and operational leaders, with experience spanning a variety of disciplines, all working together to build reliable GenAI systems.

Research

Our research team, composed of leading experts in machine learning, computer vision, and natural language processing, is dedicated to advancing the forefront of GenAI technology.

Business

Our business team drives strategic growth and fosters partnerships, ensuring we create value and deliver innovative solutions to our clients.

Product

Our product team is focused on designing intuitive, high-impact solutions that meet the evolving needs of our users and shape the future of AI technology.

Engineering

Our engineering team builds robust, scalable systems that power the next generation of AI, ensuring reliability, performance, and cutting-edge capabilities.

Mission

Intelligence as a public good

Our mission is to make General Learning Intelligence (GLI) and the power of AI accessible to all. Only then will Artificial General Intelligence fulfil its original promise to be the great equaliser of the Intelligence Age.