The Internet Communication Study 2025/26 shows who uses AI in Germany: ChatGPT reaches 87.5% of the youngest, autonomous AI shopping meets resistance, email…
July 2, 2026 · 5 min read
For software companies and their investors
AI lowers the cost of imitation. What stays defensible sits deeper: data, workflow depth, trust, economics. We build that foundation with you, in 90 days.
30 minutes. No obligation.
4 %
of DACH software companies actively build AI products
Own analysis 2026, n = 5,690
In the AI era, buying decisions are made where imitation can't reach. As feature sets lose their edge, what counts is how deeply a product is anchored in the customer's business.
The question is the same: which part of the business stays defensible when imitation gets cheap?
At the same time, adoption stalls on the customer side: 88 percent of companies use AI somewhere. Only 39 percent see bottom-line impact. Between experiment and operation lies a gap, and your customers are standing in front of it.
The bridge to the majority is your moat.
Fixed scope, one moat: real data, workflow depth or trust. Built in 90 days, with your team, in live operation. At the end there is a number.
We instrument your product's first measurable compound cycle: operating data no model can reproduce.
We identify and build the one or two integration points that are hardest to replace in your customers' daily work.
We make reliability visible: traceability, human-in-the-loop, and compliance your customers can verify.
Stage 1
Stage 2
Stage 3
Every mandate works on exactly one lever, for 90 days, measured on one number. The scaling audit decides which one comes first.
Lever 01
Acquisition & Sales Efficiency
Measure the chain from first contact to close, rebuild the weakest stage, cut CAC payback.
View this leverLever 02
Pricing & Monetization
Survey willingness to pay, rebuild pricing metric and tiers, build expansion into the model.
View this leverLever 03
Retention & Expansion
Couple onboarding to first success, steer cohorts by early signals, lift NRR.
View this leverLever 04
Delivery Costs & AI Productivity
Measure cost per customer, rebuild the constraint, anchor AI in the process.
View this lever01 · Quick start
Regulation, AI signal, delivery costs: three quick checks show where your business stands today. A first diagnosis before we talk.
The window
The window is open. Geoffrey Moore, author of Crossing the Chasm, calls 2026 the decisive year for the leap to the majority. Build the bridge later, and you compete against someone already on the other side. So far, only around 4 percent of established DACH software companies are hiring dedicated AI product roles.
Own analysis 2026, n = 5,690 · Moore: diginomica 2025
For Investors
We take on one clearly defined lever per company. Four fields we know in depth. After 90 days the lever is measurable in operations, your team builds along and takes over.
Our approach to buy-and-build is a platform foundation. The acquired companies share data, AI and playbooks and keep running their own business. That preserves the market proximity you paid for while still building a shared capability. Once built, the foundation carries every further acquisition: integration turns from a one-off project into a repeatable step.
90
Days per lever to the number
5
Layers in the scaling audit
5,690
Companies in our own analysis
Freely accessible, no form.
The Internet Communication Study 2025/26 shows who uses AI in Germany: ChatGPT reaches 87.5% of the youngest, autonomous AI shopping meets resistance, email…
July 2, 2026 · 5 min read
How smaller, niche B2B SaaS companies build a defensible castle, on their own data, deep workflow, regulation and a physical layer.
June 24, 2026 · 8 min read
Around six percent of companies turn AI into real bottom-line value. Four levers and a well-dug moat separate the winners from the expensive rest.
June 14, 2026 · 9 min read
02 · The conversation
30 minutes, your product, an honest assessment of where you are copyable and where you are not.