Hand your heaviest content work
to a team that runs on your rules.

Product pages in bulk, sales follow-ups, support answers — drafted by specialists that work from your tone, your catalog and your channels. Nothing goes out until someone on your team signs it.

Thirty minutes, a calendar link, no form.

Tisser on a tablet, resting on a cobalt velvet chair

In production at

Everyone can make things with AI. Far fewer can use what comes out.

Nobody needs convincing that the models are good. The gap opens right after: work you can trust, rules that hold, a line back to what it returned. Everyone at the table hits that differently.

Marketing

“Two people, same brief, two different answers.”

My best people spend the week checking, chasing and redoing instead of making.

IT and compliance

“Half of this is already running, and I don't know through what.”

I need to know what's in use, where our data goes, and who signed off before it ships.

Leadership

“We keep spending, and I still can't show what it's returned.”

I want to know it's going somewhere, not just costing more every quarter.

A marketing lead leaning back in a butter-yellow chair by a window, at ease

The workspace

Your brand. Your team.
Your rules. One place to work.

The AI workspace that actually knows your brand — and hands back finished work. Five screens, in the order it happens.

Your brand,
written down once.

Voice, audience, claims, compliance, channels — your whole brand lives in one place. Every agent and every workflow works from it, so everything Tisser makes sounds like you. Without explaining it again for every job.

Specialists, not one
generic assistant.

A copywriter, a market analyst, an image specialist, an orchestrator. Every agent has a role, a memory and your brand context. Not one tool that does everything — a team where each one adds what the others don't.

Change the model,
not the rules.

GPT, Claude, Gemini, Nano Banana — pick the best model per task, or let Tisser pick for you. Your context and your rules stay underneath, whichever one runs it.

Images too.
On brand too.

Generate and edit visuals that fit your brand, in any ratio. From packshot to editorial portrait, right next to the copy — so the words and the picture come out of the same source.

All your work,
per project.

Launches, campaigns, markets — every project is its own space with its own context, chats and files. Everything the team makes stays together, and stays findable.

  1. Brand context
  2. Your agents
  3. Model choice
  4. On-brand images
  5. Project spaces
The workspace context screen: nine cards covering brand, audience, product, rules, channels, proof, campaigns, competitors and sales play
The agent overview: a copywriter, orchestrator, image specialist, market analyst and more, each with their own role
The model picker open in a new chat, listing GPT, Claude, Gemini and Nano Banana side by side
The image editor: a prompt on the left, aspect ratio options, and the generated portrait on the right
The projects overview, each project card showing its own chats and files

See it on your own work.

A live walkthrough with someone who built it — your rules, your material, your questions.

Request a demo

From conversations to operations.

A chat window gives you an answer. Give Oscar one brief and he puts a team on it — specialists working at the same time, on your rules, handing back a finished package.

Scroll
Martin
“Set up a campaign for the holidays.”
Oscar Orchestrator
Sets the workflow and splits the work.
Delegating
Rafa Analytics Lead
Historical data and seasonal trends.
Analysing
May Brief Builder
Audience, channels and constraints.
Gathering context
Nora Strategist
Pillars and campaign logic.
Setting strategy
Lynn Copywriter
Copy for blog, social and app.
Writing
Rick Designer
Visuals for every channel.
Designing

CampaignPackage

Content, visuals and a report,
ready to roll out.

See it in action.

Step 1 / 5
The brief

Your team sleeps.
The work doesn't.

Flows run through the night — research gathered, drafts built, first passes done. What's waiting in the morning is work, not a to-do list. And nothing has gone out: it's queued for someone to put their name on it.

Talk to a human

Three things a ChatGPT or Claude
subscription won't give you.

Draft · rule check

The fastest running shoe in the Netherlands, honestly.

It knows what you can't say

Claims get checked against your own rules while the draft is still open — not after it went out.

A new model doesn't reset your rules

Your rules sit above the model. When a better one ships it appears behind the same door, and nothing you wrote down has to change.

Built for the security review

Hosted in the EU, GDPR-compliant and AI Act-ready, on ISO 27001-certified Google Cloud infrastructure. Everything encrypted in transit and at rest.

The team behind it

You are not left with a login.

Behind the platform sits a team of specialists — our own, plus the AI hub we co-founded. That’s who shows up when the rules need writing.

  • Onboarding with a builder

    Not a support portal. The person who set up your rules walks your team through them.

  • Your rules, written with you

    We sit down with brand, legal and marketing and turn what you already know into rules the engine can follow.

  • Answers inside a working day

    One named contact, reachable in your own channel. No ticket queue.

  • A review before anything scales

    We check the first weeks of output together and adjust the rules before you widen the tap.

What people ask first.

Not answered here? Email us and we reply within one working day.

Who checks it before it is published?

Someone on your team, by name. Anything going outside the company waits for them, and every decision is logged with a timestamp.

We already have brand guidelines. Do we start over?

No. Most brands start by writing down what already exists: the book, the spreadsheet, the exceptions people keep in their heads.

What does it cost?

One price per brand, per month — what shapes it is on the pricing page. It scales with how much runs through the rules, not with seats.

Where does our data live?

In the EU, on ISO 27001-certified Google Cloud infrastructure. Your text stays yours and is not used to train models; what is committed per model provider is on the security page.

How is this different from ChatGPT with a good prompt?

A prompt is a suggestion and it lives with one person. Rules are written down, apply to everyone, and the work stops for approval before it goes out.

Bring your own work.

Thirty minutes with someone who built it. We run it through the rules with you, and you keep the notes.

A calendar link, no form. A builder on the call, not a script. Your material stays yours.

Ask AI about Tisser: