Tokio

A brand OS
Intelligent layer between your brand and everything AI produces
Your brand, fully known
Drop in PDF guidelines, images, PSD files, text. Tokio reads everything and builds a structured, semantic model of your brand — a real single source of truth that understands your brand the way you do.
Every discipline, one graph
From brand vision and tone of voice to sonic identity and motion guidelines — every brand discipline lives as a structured node. Not a folder of PDFs. A model that knows how your brand thinks.
You set the standard
Every brand element is yours to approve or reject — from a single tagline to a full visual identity. Tokio learns from every decision and sharpens its understanding of what on-brand means to you.
No more contradictions
When two sources disagree on the same element, Tokio surfaces the conflict. See them side-by-side. Decide once. The truth lives in the graph — not scattered across decks and email threads.
The intelligence layer
Semantic connections computed across every brand element reveal where your brand holds together — and where it's under tension. The graph is what makes output validation possible, at scale.
Generate. Validate. Ship.
Output nodes are coming. Generate Google Slides, Photoshop files, social assets and campaigns directly from your brand graph. Every output validated against your knowledge before it ships.
The CMO's control room
Every team, every region, every output — governed by a single brand intelligence. Assign roles, organise by project or market, and keep every brand decision traceable back to a source of truth.
Privacy by constitution
The revised Federal Act on Data Protection — in force since September 2023 — applies directly to AI. Transparency, human oversight, and impact assessments for high-risk systems are statutory requirements. Switzerland has held EU adequacy status since 2000, reconfirmed under GDPR in 2024. Here, privacy is a constitutional right — not a policy.
What is a Brand OS?
A Brand OS is the living model that governs how your brand thinks, speaks, and expresses itself — consistently, at every scale. Where a brand guidelines PDF is a static document, a Brand OS is an active intelligence: structured, queryable, and always current.
How is this different from brand guidelines or a DAM?
A PDF is read by people and ignored by AI. A DAM stores assets but doesn't understand them. Tokio models your brand as a semantic knowledge graph — every discipline structured, connected, and machine-readable. The difference between filing information and knowing it.
What happens when two documents contradict each other?
Tokio detects the conflict automatically and surfaces both versions side-by-side. You decide once which is canonical. The resolution lives in the graph — not buried in an email chain.
Who decides what is true about our brand?
You do. Nothing enters the knowledge graph without human approval. Every extracted element is reviewed before it becomes brand truth. Tokio surfaces the intelligence; your team ratifies it.
Is my data used to train AI models?
No. Your brand documents and extracted knowledge are used solely to build your graph. They are never used to train shared models or made accessible to any other organisation.
How quickly can we get started?
If you have existing brand documents, you can have a populated knowledge graph within minutes. Upload your guidelines, review the extracted nodes, and Tokio builds the model. The richer your source documents, the richer the graph.
What is coming next?
Output Nodes: generate Google Slides, Photoshop files, social assets, and campaigns directly from your brand graph — every output validated against your brand knowledge before it ships.

A brand OS

Intelligent layer between your brand and everything AI produces

Your brand, fully known

Drop in PDF guidelines, images, PSD files, text. Tokio reads everything and builds a structured, semantic model of your brand — a real single source of truth that understands your brand the way you do.

Every discipline, one graph

From brand vision and tone of voice to sonic identity and motion guidelines — every brand discipline lives as a structured node. Not a folder of PDFs. A model that knows how your brand thinks.

You set the standard

Every brand element is yours to approve or reject — from a single tagline to a full visual identity. Tokio learns from every decision and sharpens its understanding of what on-brand means to you.

No more contradictions

When two sources disagree on the same element, Tokio surfaces the conflict. See them side-by-side. Decide once. The truth lives in the graph — not scattered across decks and email threads.

The intelligence layer

Semantic connections computed across every brand element reveal where your brand holds together — and where it's under tension. The graph is what makes output validation possible, at scale.

Generate. Validate. Ship.

Output nodes are coming. Generate Google Slides, Photoshop files, social assets and campaigns directly from your brand graph. Every output validated against your knowledge before it ships.

The CMO's control room

Every team, every region, every output — governed by a single brand intelligence. Assign roles, organise by project or market, and keep every brand decision traceable back to a source of truth.

Privacy by constitution

What is a Brand OS?

A Brand OS is the living model that governs how your brand thinks, speaks, and expresses itself — consistently, at every scale. Where a brand guidelines PDF is a static document, a Brand OS is an active intelligence: structured, queryable, and always current.

How is this different from brand guidelines or a DAM?

A PDF is read by people and ignored by AI. A DAM stores assets but doesn't understand them. Tokio models your brand as a semantic knowledge graph — every discipline structured, connected, and machine-readable. The difference between filing information and knowing it.

What happens when two documents contradict each other?

Tokio detects the conflict automatically and surfaces both versions side-by-side. You decide once which is canonical. The resolution lives in the graph — not buried in an email chain.

Who decides what is true about our brand?

You do. Nothing enters the knowledge graph without human approval. Every extracted element is reviewed before it becomes brand truth. Tokio surfaces the intelligence; your team ratifies it.

Is my data used to train AI models?

No. Your brand documents and extracted knowledge are used solely to build your graph. They are never used to train shared models or made accessible to any other organisation.

How quickly can we get started?

If you have existing brand documents, you can have a populated knowledge graph within minutes. Upload your guidelines, review the extracted nodes, and Tokio builds the model. The richer your source documents, the richer the graph.

What is coming next?

Output Nodes: generate Google Slides, Photoshop files, social assets, and campaigns directly from your brand graph — every output validated against your brand knowledge before it ships.