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80% of AI projects fail. Not ours.

We eliminate operational friction in six weeks. Fixed price, live in production. With AI fully on your own data, not shared with public models. People first, then data, then technology. Always in that order.

Three pillars. One triangle.

To succeed with AI, you need to close the triangle. People, data, and technology must work together seamlessly. Not as separate projects, but as a system. The triangle only works when all three sides are strong.

The triangle of hypereffectiveness: People, Data, Technology
1. People

We start on the work floor

Every AI engagement starts with conversations. Not with your IT department, but with the people who do the work. Your planner, your quality manager, your team leader. How do they think? What information are they missing? Where do they lose time?

That knowledge is the raw material for everything we build. Because an AI agent that doesn't fit how your team works won't be used. And a solution that isn't used delivers nothing.

That's why we involve your stakeholders from day one. Not as spectators, but as co-owners. They decide what gets built. They test it. And they're the first to work with it.

2. Data

From silo to foundation

Your data is everywhere. In SAP, Exact, Excel, emails, people's heads. Most organisations don't have a data problem. They have a connection problem. Data that doesn't come together is data that doesn't work.

We pull your data out of the silos and make it centrally available on BrainGrounds. That's the foundation. Only when your data is centralized can you put it to work.

No big-bang migration. We start with the data your first use case needs. Lean, fast, and immediately usable.

3. Technology

From data to action

With your data centrally on BrainGrounds we put it to work. The most concrete first step: BrainChat, a private AI chatbot on all your company data. Your team gets real-time answers to operational questions without searching through systems. From there we build further: a planning optimisation that runs on its own, a forecasting model that signals shortages before the customer calls, a report that prepares itself. The technology behind it: AI agents running on a private AI language model.

Your data stays sovereign. It is never shared with public AI models like ChatGPT or Microsoft Copilot. All processing happens within your own data environment on BrainGrounds.

Why do we do this? To free people from tasks a computer can do better. So they can do what makes us uniquely human.

Seven principles we never deviate from.

1

People first, technology follows

We start every engagement on the work floor. Not in the boardroom, not with IT. With the people who do the work. Their knowledge, their frustrations, and their way of working determine what we build. Technology that does not align with how people work does not work.

2

Not a project, but a partnership

We don't do standalone projects with hourly billing and a final report. We enter a partnership with guaranteed results. Your success is our success. Literally. We only do well when you see returns.

3

Stakeholders as co-owners

The people who will work with the solution help build it. Not after the fact in a demo, but from the very first conversation. That creates buy-in, quality, and solutions that actually get used.

4

Data that works, not data that reports

We don't build dashboards. We build systems that think ahead and act. The difference: a dashboard tells you what happened. Our solutions tell you what to do now.

5

Production, not pilots

We don't do endless pilots. Once the business case holds up, the solution goes into production. Your team works with it. For real. That means: faster results, faster learning, faster adjustments. The first version doesn't have to be perfect. It has to work.

6

Every step finances the next

We start with the use case that delivers the most value. That one finances the second. And the second finances the third. That's how you build a flywheel without the investment spiralling out of control.

7

The business case decides

If the business case doesn't add up, we don't start. No nice-to-have projects, no AI for AI's sake. Every euro you invest must demonstrably deliver more. We verify that upfront, not afterwards.

You don't become hypereffective with a project.

Hypereffective is the state reached when the most important frictions are eliminated: people, data and technology work together without resistance. Not a single project, but a continuous process.

That's why we're your partner. Not your vendor. We work as long as there's inefficiency to find. You decide what we tackle and when.

From inspiration to production. No pilot in between.

Step 1

Diagnostic conversation (30 min)

What: Which friction costs you the most time and money? How big is the impact? Which solution fits?

How: In 30 minutes we determine together which operational friction has the biggest impact. Concrete, with numbers.

Result: A concrete sprint proposal: which friction, how many weeks, fixed price. Not an advisory report.

Investment: Free, no obligations.

Step 2

Production

What: With a go, we build the solution and put it into production. No pilot, no sandbox. Your team works with it.

How: In two-week sprints. Every sprint delivers working functionality. Your stakeholders are involved at every step. A private AI language model on your own data. Your data stays sovereign.

Result: A working solution that eliminates the friction and supports your team every day. Measurable results within weeks, not months.

Investment: Fixed sprint price, no hourly rates. Each sprint finances the next.

Step 3

Scale

What: The first use case is running. Now we build further.

How: Every next use case goes faster because the platform is already in place and your team is already accustomed to the way of working. We prioritise based on expected ROI.

Result: A flywheel. Every step funds the next. Your organisation becomes hypereffective step by step.

From first friction to hypereffectiveness

The entry point is always a friction. You choose based on what costs you the most. After six weeks that friction is eliminated and the next becomes visible.

Questions about our method

The BrainStax method is built on three pillars: People, Data, Technology. Always in that order. We start with the people on the work floor, connect their data via a private AI language model on BrainGrounds, and build solutions that eliminate operational friction. The most concrete first step is BrainChat: a private AI chatbot on all your company data. Your data stays sovereign: never shared with public AI models. Six weeks, fixed price, live in production.

Technology that does not align with how people work will not be adopted. And a solution that is not adopted delivers nothing. That is why we start every engagement on the work floor, not with IT. We identify which friction costs the most time and money before building anything.

1. People first, technology follows. 2. Not a project, but a partnership. 3. Stakeholders as co-owners. 4. Data that works, not data that reports. 5. Production, not pilots. 6. Every step finances the next. 7. The business case decides.

It starts with a free 30-minute diagnostic conversation. Business case holds? Then the first friction is eliminated within 6 weeks. Fixed price: Sprint 1 starts at EUR 12,500 one-off plus EUR 2,500/month. Each next sprint tackles the next friction. No endless pilots, no open-ended invoices.

The diagnostic conversation is free and without obligations. In 30 minutes we determine which friction costs you the most and which solution fits. The session ends with a concrete sprint proposal, not an advisory report.

Yes. BrainStax uses a private AI language model on the BrainGrounds data platform. Your data is sovereign: it is never shared with public AI models like ChatGPT or Microsoft Copilot. All processing happens within your own data environment.

Which friction costs your organisation the most?

In a 30-minute diagnostic conversation we determine which friction costs you the most time and money. Business case holds? Six weeks later, live in production. Fixed price.