The thesis

Why data infrastructure changes what a business is worth.

Most businesses past half a million in revenue have the same problem. The data exists, but it is scattered across 15 different tools. Decisions that should be backed by numbers are made on instinct. The founder is the single point of knowledge, and that makes the business fragile and hard to value.

We connect that data into one intelligent layer. Once connected, you can see everything: where revenue comes from, where it leaks, which channels actually work, which team members perform, and where the bottlenecks are.

That visibility directly changes the economics. CAC drops because you stop spending on channels that do not convert. Retention improves because you catch churn signals early. Operational overhead shrinks because AI handles the repetitive work. And the business becomes sellable, because the knowledge lives in the system, not in anyone's head.

A business running on gut feel with €1M in revenue might be worth 2-3x EBITDA. The same business with full attribution, predictable collections, and systems-driven delivery is worth significantly more. That delta is the value we create.

We do not just consult and walk away. We build the systems, help operate them, and when we see real potential we also invest and guide the path to scale or exit. We have skin in the game because we believe in the infrastructure we build.

What we build

Three pillars. One integrated system.

Clients can start with one pillar and expand. Cross-pillar integration is where the real leverage lives.

Data OS

Integrations, dashboards, attribution, AI agents, intelligence layer. The technical spine that connects everything and makes every other system smarter.

Sales OS

Closer floor install, pipeline management, scripts, CRM configuration, sales team onboarding and training. Built from real sales floors, not theory.

Marketing OS

Content strategy, production pipeline, ad performance, attribution, audience development. Full engine from creative to conversion to measurement.

Enterprise value

Where the value shows up.

Every system we install pulls one or more of these levers. These are actuals from implementations, not projections.

Reduce CAC

Real attribution by channel stops you spending on what does not convert. 56% CAC reduction achieved across multiple implementations.

Cut operational waste

Structured processes and AI automation replace manual work. 42% efficiency gain and 27% less cost overrun at Crebos.

Increase predictability

SOPs, dashboards, and real-time tracking make the business legible. HenriPay was investment-ready within weeks. Raised €5M+ in their first round.

Make the business sellable

PE firms evaluate acquisitions based on visibility, predictability, and scalability. We install all three. The business stops depending on one person and starts running on a system.

The difference

You have tried the alternatives.

Agency Hire a dev team Outscaled
What you get Campaigns and reports Code to your specs Production infrastructure that runs your business
Data Siloed per channel. No unified view. Whatever you know to ask for Every source connected into one layer
AI Maybe a chatbot on the website Only if you can spec it yourself AI agents built into the architecture from day one
Who understands your ops Nobody. They run ads. Nobody. They write code. We have operated 15+ businesses ourselves
Timeline Ongoing retainer, no end date 6-18 months if it ships at all Phase 1 live in weeks
When they leave Performance drops immediately Code nobody understands System keeps running, learning, compounding

Also available

AI and data consulting.

Not every business needs us to build and operate the full system. Some have an internal team that can execute but need the right guidance on what to build, how to structure data, and where AI actually adds value.

We offer standalone consulting for companies that want to implement AI and data infrastructure with their own team. You get the strategy, architecture, and roadmap. Your team does the building with our guidance along the way.

What you get
01
AI utilization audit
Where AI can replace manual work in your specific operations
02
Data architecture plan
How to structure your data layer so everything connects
03
Implementation roadmap
Step-by-step plan your team can follow to build it themselves
04
Ongoing guidance
Regular check-ins to keep the build on track and solve blockers

Get started

See what this looks like for your business.

Whether you want a free consulting call or you are ready to get a quote, both start here.

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