Founder working on a laptop on a mountain summit

AI-native company

Starting afresh with today's knowledge:
How small can your team be?

AI-native means processes, data and AI agents are part of the company from day one. Small teams look after customers and ideas, agents handle the rest. We build the company behind your idea with you, at a fixed price and ready to launch in a few weeks.

Discuss your idea →Classic vs. AI-native ↓
weeks to launch
8-12
weeks to launch
per step
Fixed price
per step
starting points: start-up, spin-off, new line of business
3
starting points: start-up, spin-off, new line of business

What AI-native does differently

What would you do differently if you started afresh with today's knowledge?

You would not fill positions first, you would build workflows. Keep data in one system from the start, let customers serve themselves and use people where judgement, trust and creativity count. The result: small teams that achieve what whole departments used to.

  • Workflow first, then the role

    Every recurring task is first built as a workflow with an agent. You hire for what remains and needs people.

  • Agents as team members

    Research, draft quotes, first replies in support, receipt capture, scheduling: agents work around the clock, with clear rules and handovers.

  • One system, one set of data

    Customers, quotes, projects and figures sit in one connected system from day one. No spreadsheet islands that are expensive to merge later.

  • Customers serve themselves

    A configurator instead of quote loops, a portal instead of status calls, online booking instead of scheduling back and forth. This scales without new hires.

  • People for judgement and relationships

    Decisions, responsibility, negotiation, creativity and customer relationships stay human. That is exactly what the team has time for.

  • Revenue per head as a key figure

    Growth no longer means more heads. What is measured is how much value each person creates with their agents.

Comparison

How do classically founded and AI-native companies differ in daily work?

Most clearly in the functions that used to need new staff with every revenue step. We work out together which differences apply to your idea.

  • Sales

    Classically founded

    Sales team researches, writes, follows up

    AI-native founded

    Agent researches and prepares, a person holds the conversations and closes

  • Quotes

    Classically founded

    Costing and quote by hand, days per quote

    AI-native founded

    Configurator or agent drafts in minutes, a person approves

  • Customer service

    Classically founded

    Hotline and inbox with a growing team

    AI-native founded

    Agent answers standard questions around the clock, team resolves special cases

  • Administration

    Classically founded

    Bookkeeping, invoices, dunning with dedicated staff

    AI-native founded

    Receipts, invoices and reminders run automatically, tax adviser reviews

  • Marketing

    Classically founded

    Agency or department for content and campaigns

    AI-native founded

    Agents draft content and variants, a person sets direction and brand

  • Knowledge

    Classically founded

    Sits in people's heads, leaves with employees

    AI-native founded

    Documented from the start and retrievable by asking

  • Growth

    Classically founded

    More revenue needs more staff

    AI-native founded

    More revenue needs better workflows, staff grows slowly

Matthias Schneider
AI-native companies, set up properly, can work from day one with a single person as effectively as companies with 10 years of experience and a large team.
Matthias Schneider

Already reality

What individual founders and small teams have already achieved with AI.

Not a vision of the future: these companies show how much an AI-native team can achieve today.

  • 1 founder

    Base44: sold for US$80m within 6 months

    Maor Shlomo built his AI platform for apps practically on his own, won over 100,000 users and sold it to Wix in June 2025. He hired his first employee only a few weeks before the sale.

  • 0 employees

    Photo AI: around US$1.6m annual revenue, solo

    Pieter Levels runs his AI photo studio without a permanent team, with a margin of over 85%. Together with his other products he earns around US$3m a year, with no employees at all.

  • Around 45 people

    Lovable: US$100m annual revenue in 8 months

    The AI tool from Stockholm reached this figure with a team of around 45 people, which is over US$2m revenue per head. By the end of 2025 annual revenue had grown to around US$400m.

  • No investors

    Midjourney: profitable almost from the start

    The AI image generator managed without venture capital and without a marketing department, and with around 100 employees achieves revenue in the hundreds of millions.

Figures according to the companies or media reports (including Calcalist, Inc., Indie Hackers, Sifted), as of 2025/2026.

Team calculator

How small can your team be for your revenue target?

Enter your revenue target and planned team size. With the third slider you estimate what share of routine work workflows and agents take over. The calculator shows how many people this would need in the classic way.

  • Worked example based on your own assumptions, not a forecast
  • What share is realistic depends on the business model
  • We clarify this in the first conversation and in the strategy

Your AI-native team

Revenue per head

€500,000

Traditionally, that would mean about

~12 people

Simplified calculation: team size ÷ (1 − share of routine work). No guarantee, for orientation only.

How we realise your idea

How does your idea become an AI-native company?

In four steps that build on each other. You bring the idea, market and customers. We bring business model experience from over 1,000 successfully supported projects and the technical implementation. After each step you decide afresh.

  1. 1

    Sharpen the idea

    Pin down target customer, offer, price and business model. What has to be right for it to work, and how do we test that quickly?

    Workshop · Fixed price

  2. 2

    Blueprint for team & agents

    Which workflows exist, what do agents take on, what do people, where does which data flow? The result is the blueprint of your company.

    Strategy · Fixed price by scope

  3. 3

    Build the operating system

    CRM, automations, AI agents, self-service for customers, quoting and billing process. Fully set up and tested, not a construction kit.

    Fixed price by scope · 8-12 weeks

  4. 4

    Launch & grow

    Support at launch, fine-tuning the agents with real customers, exchange in the Mastermind and, if you wish, the route into new markets.

    Support · Mastermind · Go Global

Scenarios

What does an AI-native company look like in practice?

Four scenarios from different starting points: a new start-up, a spin-off from an existing business, a new line of business and a knowledge business that is meant to scale.

  • New start-upB2B serviceTender service for trades

    Three founders, one service that would otherwise need an office of twelve

    Idea
    Trade businesses find suitable public tenders and have the documents prepared, for a monthly fee.
    Set-up
    One agent searches and rates tenders against the customer profile, a second prepares documents, customer portal, billing and onboarding run automatically.
    People
    Sales to businesses, quality checks of the documents, further development of the offer.
    Team
    3
    Agents
    6
    Ready to launch
    10 weeks
    Growth
    without an office team

  • Spin-offfrom a mechanical engineering firmSpare parts online

    Spare parts business as a separate company with two employees

    Idea
    Sell spare parts online for the company's own machine fleet and compatible third-party machines, as an independent company.
    Set-up
    Spare parts assistant for customers via serial number or photo, shop connected to the parent company's warehouse, support agent, automatic invoicing and shipping.
    People
    Look after key accounts, resolve special cases, expand range and partners.
    Team
    2
    Agents
    5
    Ready to launch
    12 weeks
    Basis
    existing data

  • New line of businessTrade businessDigital bathroom planning

    From bathroom renovator to online planning brand

    Idea
    End customers plan their bathroom online, receive a guide price and book the work with the business or with partner businesses in the region.
    Set-up
    Product configurator with pricing logic, agent for queries and appointment booking, partner portal for businesses, automatic commission billing.
    People
    Review plans, win partners, take responsibility for brand and customer experience.
    Team
    2
    Agents
    4
    Ready to launch
    10 weeks
    Model
    Platform

  • Scaling knowledgeSpecialist consultantEnergy efficiency for commercial customers

    From solo consultant to an advisory product with an agent

    Idea
    The knowledge of an experienced consultant as a digital product: commercial customers upload data and receive a well-founded initial analysis.
    Set-up
    Analysis agent based on the methodology and earlier projects, report template, online payment, upsell to personal in-depth consulting.
    People
    Review results, in-depth consulting, develop the methodology further.
    Team
    1 + 1
    Agents
    3
    Ready to launch
    8 weeks
    Customers
    nationwide

Example scenarios for illustration. Team sizes and timings depend on the business model.

EU AI ActPeople stay

What stays with people, and what does the law require?

The EU AI Act introduces obligations in stages, for example customers must be able to tell when they are talking to an AI. AI-native therefore does not mean without people: responsibility, liability, decisions of consequence and customer relationships stay with people. We build agents with clear limits, handovers and logs so that you stay in control.

As of: 10/2026 · simplified summary, not legal advice

Clarify in a conversation →

Before we talk

What founders and business owners want to know beforehand.

Your question is not here? In the initial conversation we take 30 minutes for your specific topic.

No. You need an idea, an understanding of the market and the willingness to make decisions. We take care of the technical implementation, agents and automations, and show you how to manage them day to day.

For founders with a concrete idea, for business owners building a new line of business or a spin-off, and for owners who want to rethink their existing company with today's knowledge.

Then you want to know early. In the first step we examine what has to be right and test it with little effort before the complete system is built. After each step you decide afresh.

You do. Systems, configurations, workflows and data belong to your company. We rely on established tools rather than a proprietary build that would make you dependent.

That depends on the programme and the federal state. Many programmes for consulting and digitalisation require an existing company, so the chances are better for spin-offs and new lines of business of existing firms. We check this case by case. As of: 10/2026.

Sharpening the idea takes a few weeks, building the operating system typically 8 to 12 weeks. Many companies start with a first core and add further agents once real customers are on board.

Discuss your idea

Tell us your idea. We will show how small the team can be.

45 minutes, free of charge and confidential. You present your idea, we outline which parts agents and workflows can take over and what it takes to get started.

  • Reply within one working day
  • Your idea stays confidential, NDA on request

Discuss your idea

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