Inner AI

Practical AI R&D

Inner AI is a new kind of AI R&D lab which creates practical end-user products

based on foundational research breakthroughs.

Fully-remote team of deep-tech generalists — the world’s very best.

Our Story

An Iterative Path to

Harnessing AI

An Iterative Path to Harnessing AI

Harnessing AI requires not just low-level computer science and mathematical research, but also deep thinking about what practical applications can take advantage of this new power.

The “D” in “R&D” is critical: it’s only by considering the development of practical applications that the correct research directions can be targeted.

Research Focus

Beyond AGI to

Practical AI Applications

While the quest for Artificial General Intelligence (AGI) captures headlines, Inner AI is carving a niche in utilizing existing AI models to solve real-world challenges.

The extraordinary work of entities like OpenAI and Anthropic paves the way, yet we recognize a critical gap in applying these advancements to practical uses.

Our research is dedicated to uncovering new applications for AI, focusing on the potential of foundational models to revolutionize industries and enhance daily life.

Building Our R&D Capabilities

A Team Like No Other

The strength of Inner AI lies in our small, agile team of brilliant generalists, each bringing curiosity, enthusiasm, and a profound technical understanding to our collaborative efforts. Using modern AI tools, we've demonstrated that even complex challenges can be overcome with innovative thinking and a deep understanding of foundational principles.

We believe that people will be very surprised to discover what a small team of nimble, creative, open-minded people can accomplish.

Innovation and Responsibility

Original Research

and AI Safety

Original Research

and AI Safety

At Inner AI, our commitment to innovation is matched by our dedication to safety and ethical considerations. Whilst AI is becoming more and more capable, the dangers to society from poor algorithmic decision making have been with us for years.

We believe in learning from these years of experience, and thinking deeply about how to align the applications of models with the needs of people today.

How can we help you?

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