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Efficiency through AI on your own premises, for German mid-sized companies.

COMPBRAIN in operation

You ask in plain language, and the answer comes backed by your own documents, on your own premises.

By when should WZ-10017 be finished according to the shop floor report?

09:27

auto 09:27

According to the shop floor report, WZ-10017 should be finished by 31 Jan 2026.Q1

WZ-10017 (connector housing) will not be finished by 31 Jan 2026.Q4

Sources (6)
  1. Q1Shop floor report·WZ-10017 – stuck·Giuseppe Nowakgiuseppe.nowak@intern.local· WZ-10017As of 2026-01-24 · Score 0.03279 · shopfloor/new/202601241358918000.d12e136a6c00.kiwi
  2. Q2Shop floor report·WZ-10433 – Peter Ferraripeter.ferrari@intern.local· WZ-10433As of 2025-08-15 · Score 0.02655 · shopfloor/new/202508151527242400.85ce811e465f8.kiwi
  3. Q3Shop floor report·WZ-10202 – Thomas Haasthomas.haas@intern.local· WZ-10202As of 2025-06-03 · Score 0.02395 · shopfloor/new/202506031396537200.5462d84358e7.kiwi
  4. Q4Shop floor report·WZ-10001 – stuck·Markus Haasmarkus.haas@intern.local· WZ-10001As of 2025-03-07 · Score 0.01613 · shopfloor/new/202503071366830600.05c5399c8b53.kiwi
  5. Q5Change notice·Customer change request·Matthias WolberAs of 2025-02-14 · Score 0.01613 · zeichnung/new/202502141366830600.05b4b8872b53.kiwi
  6. Q6Shop floor report·WZ-10045 – Sebastian Langsebastian.lang@intern.local· WZ-10045As of 2025-01-22 · Score 0.01587 · shopfloor/new/202501221363935600.6260a88ba8a3.kiwi
Run: retrieval 3162 ms · withheld 25 ms · generation 1566 ms · valid: yes · qwen2.5:7b · trace a395f423-7c98-4b6c-bcf3-fc2327b20ea8

The target picture

COMPBRAIN infrastructure

Your data sources feed one central knowledge base. The AI works on top of it, locally in-house or in the cloud in Germany.

Data sourcesERPMESPLCdocumentsstaffknow-howshift logs& notesmore2D process map3D vector databaseIndustry knowledge layerLocal AI infrastructurein-houseCloud AI infrastructurein GermanyChat functionAutomation
  1. 2D process map
  2. 3D vector database
  3. Industry knowledge layer
  4. Local AI infrastructure in-house
  5. Cloud AI infrastructure in Germany
  6. Chat function
  7. Automation

From concept to operation.

What we actually build

Process mapping and analysisDigitalisation strategyEmail automationProcess automationLocal AI assistantsConnecting isolated systemsAutomated quotationFinancial analysisReport automationA central knowledge baseProcess mapping and analysisDigitalisation strategyEmail automationProcess automationLocal AI assistantsConnecting isolated systemsAutomated quotationFinancial analysisReport automationA central knowledge baseProcess mapping and analysisDigitalisation strategyEmail automationProcess automationLocal AI assistantsConnecting isolated systemsAutomated quotationFinancial analysisReport automationA central knowledge base

Why act now?

Fewer workers, the same workload. The balance lies in the process.

What is heading towards these companies, and where the balance can come from.

The bottleneck

>0 million

fewer people in the labour force by 2029

  • That is the workforce of 20,000 companies with 50 employees each
  • In mechanical and industrial engineering, finding a skilled worker takes 98 days
  • From 90 days on, the risk that a position is never filled counts as high

- Fachkräftemonitoring für das BMAS (skilled labour monitoring for the Federal Ministry of Labour), medium-term forecast to 2029, research report 670, Zika et al., pp. 30 f. and 45 f. (November 2025)

0%

of working time for reports and documentation

  • A full day a week, and around 30 percent for managers
  • For one in three the burden has risen within two years
  • 325,000 additional hires from 2022 to 2025, purely for new requirements
  • Plus a sickness rate of around eleven percent of scheduled working time

- IW-Kurzbericht 94/2025, Ein Tag pro Woche für Bürokratie (one day a week for bureaucracy), Hammermann/Röhl, employee survey with 5,000 respondents (18 November 2025)

- McKinsey, HR Monitor, 5,500 respondents in ten countries; reported by Deutschlandfunk (15 April 2026)

The lever

0%

of working hours are technically automatable

  • In Germany, feasible with technology that already exists today
  • Not a forecast of job losses, 86 percent of capabilities stay in demand
  • 82 percent of the potential sits with AI agents, only 18 with robotics
  • In manufacturing too, it is planning, quality control and the supply chain
<0%

of companies achieve measurable results with AI

  • Almost nine in ten companies use AI in at least one area
  • The difference is not the tool
  • Embedding AI into existing routines yields little
  • It becomes measurable when handovers disappear and workflows are rebuilt

As of August 2026

Why not simply use the cloud?

Hybrid AI infrastructure

The points the decision comes down to.

Sensitive data stays in-house

  • The COMPBRAIN Box sits within your company
  • Capitalised on your own balance sheet
  • Your data stays with you, even after the contract ends

Access stays in-house

  • The system runs offline in your network, with no link to the open internet
  • Access via your local network, into the workshop if needed
  • Remote maintenance and model updates can only take place after your approval
  • You decide which data is classified as sensitive

Costs you can plan with

  • Fixed prices for the agreed term
  • No billing by usage or tokens
  • Add-on features bookable individually, never automatically
  • No quotas that slow your usage down

A system that knows your business

  • Cloud models reflect the average case
  • The result: imprecise answers about your processes
  • Your system works with your data, and only for you
  • Company knowledge in one place instead of scattered across systems

Location is not jurisdiction

  • A German data centre is not a German legal jurisdiction
  • Cloud can be useful for non-critical data, but not for every activity
  • US providers fall under the CLOUD Act, even hosting in Frankfurt
  • Data processing agreements govern access legally, not technically
  • On your own premises the question does not arise

When the engagement ends

  • Server, data and knowledge base stay on your premises
  • The AI software is licensed, and the licence ends with the contract
  • Your digitized company knowledge stays complete and readable
  • Setup and interfaces are documented, and the documentation is yours

Our approach

Three steps to noticeably
less effort

From the digital foundation to COMPBRAIN — keep scrolling.

STEP 01

Establish digitization

Digitize processes and set them up to last.
Lay the foundation for local AI.

Capture processesStructure dataDigital base

STEP 02

Automation

Automate workflows and lift efficiency to a new level.
Save time and free up capacity.

WorkflowsTime savedIntegrations

STEP 03

COMPBRAIN

A central knowledge base that turns your know-how into a local asset.
COMPBRAIN.

Local modelsAgentsCOMPBRAIN

How we work

From the first idea to continuous optimization

Our process — transparent and easy to follow.

Phase 01

Understand & Plan

Step by step.

  1. Potential analysis

    We get to know your company and your goals — free and non-binding.

  2. Conceptual draft

    First solution approaches and an honest assessment of the potential.

  3. Second meeting

    We present the approaches and sharpen focus and scope together — free of charge as well.

Phase 02

Execute

Analyze, digitize and automate your core processes.

  1. Core process analysis

    Every core process is examined on three levels: revenue, cost and time.

  2. Analyze and connect the systems

    Creating one unified data foundation by bringing your systems together.

  3. Digitize and automate core processes

    Recurring steps run automatically from now on — reliable and traceable.

Phase 03

AI & Advantage

Your knowledge becomes a tool — local AI works alongside you.

  1. COMPBRAIN

    We consolidate your company knowledge in one place — as the foundation for AI.

  2. AI implementation

    Local AI goes into production — tailored precisely to your processes.

  3. Continuous optimization

    We measure, adjust and improve continuously — for a lasting advantage.

Ready for the first step?

Book a potential analysis →

Side by side

Cloud or hybrid

Three points where the two routes differ.

What it is aboutAI from the cloudCOMPBRAIN on your premises
Data locationWith the provider, often under US lawOn your premises, under German law
Usage limitA token quota, depending on the planUnlimited, with no token billing
Company knowledgeThe average from the webYour terms and processes

The left column describes the common case for public cloud services. Individual providers handle individual points differently, so check the specific offer.

Where we stand

Not yet incorporated, already building

Where we stand right now, in full transparency:

  1. Market research among mid-sized firmsUnder way
  2. Talks with companiesUnder way
  3. Prototype in developmentUnder way
  4. First pilot installationsStill ahead
  5. Incorporation after funding approvalStill ahead

Company

Your contacts

Two founders. No overhead. 100 % focus on measurable execution.

Ready for the next step?

Free potential analysis, 15 – 30 minutes Non-binding, via Google Meet