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The AI Native Data Layer.
Data as your foundation_

Stop squeezing your business into a CRM package. An AI Native Data Layer flips it around: one open data layer, fully in-house, that every solution connects to. From dashboard to webshop to AI agent. Built the way you work, not the other way round.

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The concept in two minutes

Broadcast in De AI Storm on Dutch business channel RTL Z and on RTL 7: why it makes more sense to start digitalisation from your business data rather than from the software, and where things go wrong with separate systems. The interview is in Dutch.

de_ai_storm · rtl_z & rtl_7 Data is the foundation of an organisation. The software around it is replaceable. Play the TV item (in Dutch)2:00
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definition

What is an AI Native Data Layer?

An AI Native Data Layer is an open, central data layer that's fully in-house, built on PostgreSQL, that all your business software connects to. Your data forms the foundation; solutions like dashboards, AI chat and agents are built around it and can be swapped out without losing any data. New to the concept? What is a data layer explains it first, separate from our approach.

The difference with a CRM in one sentence: with a package, your business adapts to the software; with an AI Native Data Layer, the software adapts to your business.

your existing systems stay in place
CRM Accounting Email ERP Scheduling Excel

AI Native Data Layer

one open, central data layer, fully in-house, built on PostgreSQL

Dashboards AI chat Agents Webshop Reports
solutions built around the way you work
your data forms the foundation: the systems above feed it, the solutions below build on it
benefits

Why businesses switch

The market is moving from monolithic packages to composable architecture. Here's what that delivers in practice.

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No per-user costs

No per-seat licences that go up every year. Just low, transparent infrastructure costs, no matter how many colleagues are working in it.

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One source of truth

Every system writes to the same database. Everyone sees the same complete customer view, and reports appear in seconds.

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Custom-built in days

With AI, every solution is built around the way you work, in days instead of months. A new front end or dashboard is no longer a project.

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Existing systems stay

Accounting, email, ERP and scheduling get connected via MCP and APIs. Nothing has to be replaced, everything just starts working together.

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AI that actually works

Agents and AI chat are only as good as the data they run on. One rich, clean data layer makes every AI application better right away.

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Never locked in again

The data layer is open, portable PostgreSQL. You can always leave, even from us. That keeps everyone sharp, including us.

the_promise

Big ambitions, small start. You only build further when you're ready for it.

€0 per user
no per-seat licences
0 source of truth
every system, one database
0% your data
open, portable postgres
days not months
new solution live

Want to see how the platform fits together, including an interactive demo? Check out the platform page. Curious how secure it is? Read about security and GDPR.

frequently_asked_questions

What else would you like to know?

What is an AI Native Data Layer?

An open, central data layer that's fully in-house, built on PostgreSQL, that all your business software connects to. Instead of locking data inside a CRM package, your data forms the foundation, and solutions like dashboards, AI chat and agents are built around it.

What's the difference with a regular CRM?

With a CRM, your business adapts to the package: the vendor's data model, licensing model and way of working. With an AI Native Data Layer, it's the other way round: the data layer is yours, every solution is built around the way you work, and you pay no per-user costs.

Do I have to replace my existing systems?

No. Accounting, email, ERP and scheduling simply stay in place and get connected via MCP and APIs. Data flows automatically into the foundation. You can always replace something later, whenever you want.

Is an AI Native Data Layer secure enough for GDPR?

Yes. The data layer runs on EU hosting with row level security, encryption at rest and in transit, and daily backups. The underlying infrastructure is SOC2 Type II and ISO 27001 certified. Because the environment is yours, you can verify this yourself instead of just taking a vendor's word for it.

Which businesses is this a good fit for?

SMEs that have outgrown stand-alone tools and Excel, but are too small for a six-figure implementation. Typically: an outdated or outgrown CRM, data scattered across systems and mailboxes, and nobody with a complete customer view.

How do I get started with an AI Native Data Layer?

With a data scan: we map out where your data currently lives and what its quality is. The data foundation follows in weeks, not months, and you connect solutions step by step. Every step delivers something right away, and nothing is wasted work.

whitepaper

The AI Native Data Layer

Why the data layer replaces the package: the reasoning behind the composable model, for anyone who wants to understand before they believe.

  • Why the classic CRM model breaks down for growing SMEs
  • What an AI Native Data Layer actually is and how it works
  • The comparison: monolithic package versus composable platform
  • What AI changes about the cost and speed of custom development
  • Security and GDPR: why in-house can be more secure than a suite
  • The growth path: from data scan to full platform

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Ready to take your data back into your own hands?

In a thirty-minute call we look at where your data lives today, where it gets stuck, and which first step pays off right away.