BlueberryML · London

The geometry AI thinks in.

BlueberryML learns the shape of human domains — how people learn, how people feel, who a character is — and licenses it, so AI systems reason over structure and know where they are.

The learning manifold is in production in schools across India. →

How it works

Knows where it is. Decides fast. Talks well.

A language model on its own is fluent but has no sense of place: every turn starts again from a prompt.

A manifold on its own knows exactly where someone is, but can't say a word.

Put a fast System 1-type decision layer between them, and you get a system that knows where it is, decides quickly and talks well. Neither half can do that alone.

How the method works →

The manifold

slow · learned · persistent

Where are we, and where should we go next?

System 1

fast · calibrated · typed

What happens now? On every turn, in milliseconds.

The language model

fluent · flexible · steered

How do we say it?

Every turn is evidence. Evidence moves the position.

The personality substrate

Characters that grow, feel and remember.

Most AI characters are handed notes about themselves: a long prompt, a Markdown file, a store of past conversations to retrieve. Ours live in a geometry. It's the manifold we care about most, and where BlueberryML is heading.

  1. 1. Learning gives growth.

    The learning manifold already tracks a trajectory: where someone was, where they are, where they’re heading. A personality needs exactly that sense of change over time.

  2. 2. Emotion gives an inner state.

    Valence, arousal, warmth and attention move turn by turn and settle back to baseline. Traits hold steady underneath.

  3. 3. Context gives memory and relationship.

    What happened between this character and this person, and how it changed them both.

  4. 4. Together they form a substrate:

    something a character lives in, not a description it’s handed.

In production

At national scale, today.

Chrysalis, our K-12 partner worldwide, runs the learning manifold across its schools in India. Schools and K-12 organisations anywhere: Chrysalis is the place to start.

~600,000

children in Chrysalis schools

Sovereign by design

We never touch your data.

We help you train a manifold where your data already lives, then license it to you to run there. The data always stays sovereign: under your control, in your jurisdiction, and yours.

Trained where your data lives.

We help you train your manifold on your own infrastructure, in your own jurisdiction. The data never leaves your control, and it never comes to us.

Then licensed to you.

Once it’s trained, you run the manifold locally under licence, under your brand. Learner records, voices, transcripts and results stay with you, and you own them.

The models around it, too.

We help build the rest of the stack, such as speech recognition, voice and scoring models, to run on your own hardware. That’s what makes sovereign AI possible.

How we handle data →