Your employees already put client email into ChatGPT. Private AI keeps your data in your own hands.

Case files, tickets, and reports pile up; the knowledge sits with a colleague who will soon be gone. We have AI prepare that work from your own documents, with the source attached. Your employee decides. All on our own hardware in the Netherlands, nothing sent to ChatGPT, Copilot, or Azure.

Schedule a no-obligation call Start the AI-Readiness Scan

We build your software faster with AI
New software or extensions to what you already have, built with our own AI agents. Faster, and following fixed ways of working.
We bring AI into your application, app, or website
Intelligence inside your existing TMS, WMS, portal, or mailbox. The work is ready where your people already work.
We make AI smarter and more autonomous
Agents that carry out tasks on their own, based on your own knowledge and following your rules.
We host your AI
On our own GPU cluster, shared or dedicated, or on-premise at your site.

440+ sources

820,000+ documents

860,000+ fragments searchable

Answers in seconds

Trusted by healthcare, logistics and industry

How organisations use it

Not a chatbot that gives answers, but a platform that prepares work. Four applications in production on our own GPU cluster in the Netherlands; we use three of them ourselves every working day.

Support and tickets

Ticket, subject "FW:". What do they want? A thread of 100+ emails: do you need to act, or do they? And then the customer calls to ask how things stand.

Open the message and know whose turn it is

Above every ticket is a fresh summary: what it is about, what was agreed, who needs to act. Every ticket gets a status such as "Input needed" or "Waiting on third party". The customer calls, you click, you know.

"Waiting on third party": nothing for you today

More about AI process automation →

Sales

A company views your pricing page three times this week. You never hear about it and call a cold list this afternoon.

Every morning: who to call today, and why

You see which company keeps coming back and what it looks at. For that conversation, the decision makers, the latest news, and opening questions are ready. Email replies are ready as drafts in your own style, and promises and deadlines are remembered.

No warm lead overlooked again

Knowledge

The client calls about something discussed in March. The report is somewhere, with a colleague who no longer works here.

Agreements from months ago, in one question

Meeting reports, notes, and documents are summarised automatically, per client and per person. A colleague approves what is settled. AI agents then answer "what did we agree?" from that approved knowledge.

A person approves, the AI works with it

More about the RAG platform →

Municipalities

A resident at the counter with a question you get twice a year. The colleague who knows is off today.

The answer, with the legal article attached

The civil servant asks the question and gets the answer with the legal article next to it, ready to check. If there is no source, the assistant says so instead of making something up.

800,000+ legal articles, one question

How the RAG platform works →

The building blocks behind these applications: the RAG platform for answers from your own knowledge, with the source attached, and AI process automation for work that is ready before an employee picks it up.

Schedule a no-obligation call

Unsure whether you need private AI, or whether ChatGPT, Copilot, or Azure OpenAI will do? Read when to choose private AI

Or would you rather build it yourself with Claude, Codex, or Copilot? Build it yourself or outsource

4.9

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"Always available, always delivering. quality over quantity mindset. also, great at suggesting and thinking about what is best for the customer. 11/10 rating. would and will definitely recommend."

Vincent van der Veen

11 maanden geleden

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Your data, your control

Four guarantees. Non-negotiable.

Own hardware in the Netherlands

No Big Tech cloud. Hosting, development, and data on our own servers, within Dutch borders.

No outsourcing

All employees VOG-screened, rescreened every three years. Employed in-house, no freelancers.

Data isolation

Your environment is fully separated. No data to third parties, no training material, not even for model improvement.

ISO 27001

Certification expected Q4 2026. Security as a core pillar, not an afterthought.

Shared cluster, dedicated cluster, or on-premise at your site: you choose, and it always runs in the Netherlands. We connect it to your existing systems via an API.

Compliance and legislation

Dutch Digital Government Act & BIO

Architecture aligns with BIO principles. Data sovereignty and auditability built in.

EU AI Act

Full audit trail, no external API calls, control over the entire deployment chain. Model responsibility lies with the provider.

How does it work?

Three steps. No hassle.

Discovery

We map out your data, processes and needs. Within a week you know what's possible.

Implementation

We set up your private AI platform and connect it to your existing systems.

Results

Your team works faster, customers are better served and knowledge is no longer lost.

Frequently asked questions

How quickly will we see results?

First results are typically visible within a few weeks. After connecting your data sources, employees can immediately start asking questions. Value grows as more sources are connected.

Do we need technical expertise in-house?

No. Wabber manages the entire platform: installation, maintenance, updates and monitoring. Your team uses it like a chat interface, no technical background required.

What if the AI gives a wrong answer?

Every answer includes a source reference so your employee can verify it. The AI delivers a draft, the human makes the decision. All interactions are anonymously logged in an audit trail. Through a feedback loop, errors are structurally fed back and the platform continuously improves.

What does private AI cost?

A custom AI project starts at €25,000, depending on the application. We start with a single process and expand once the return is proven. Some solutions are available as SaaS with a monthly subscription, which lowers the entry point. After an introduction you receive a concrete estimate. More on costs and choices

Does it work on our own documents and data?

Yes, that is what it is built for. We connect your own sources, such as documents, manuals, websites, and data from your systems, and keep them up to date automatically. Every answer refers to the source document. Your data does not train a public model.

Can't I build this myself with Claude or Copilot?

For an internal tool, often yes, and faster than through us. As soon as the system is critical, needs to integrate with other systems, or works with sensitive data, it pays to have it built and managed. Read the trade-off

2025-11-20

LLM: from standalone chatbot to knowledge architecture

Most AI implementations fail not because of the technology, but because of the architecture around it. A chatbot without a structured knowledge source gives unreliable answers. That costs trust: internally and externally.

2025-11-06

ISO Certification Start

This week we took the first step toward our ISO certification with a gap analysis. This gives us insight into what's already in good shape and where areas for improvement remain.

2025-08-28

n8n: Process Automation with AI

Manual workflows cost time and break at scale. An RMA request that is manually assessed, calculated and confirmed easily takes an hour. Automation brings that down to seconds.

Within a week you know what private AI can do for you

In a no-obligation conversation we map your data and processes and tell you honestly what AI will deliver.