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AI agency · Munich & Upper Bavaria

AI agency in Munich

We build AI agents that work in the background so your team can deliver in front. In production, not as a demo.

Neufahrn bei FreisingOn site in MunichB2B, mid sized firmsGDPR compliant
94 %
Less effort
23 h to 84 min per event
800+
Meetings processed
fully automated, in Japanese
<4 s
Response time
RAG across 7 channels
0
Errors
over eight events in production
AI agency
An AI agency is a company that builds AI systems for other companies and keeps running them afterwards. The difference to consulting lies in the last part: consulting ends with a recommendation, an agency ends with a system that runs day to day.
01 The problem

Most AI projects end as a demo.

A workshop, a prototype, a presentation. Then nothing happens. The technology is rarely the reason.

What is missing is someone who owns the system once the applause fades: connected to your data, monitored, documented, with a person who still answers the phone after handover.

The name comes from Kabuki theatre. Kuroko are the stagehands dressed in black who move everything while staying invisible. Software should work the same way.

88 % use it, a third scale it
88 % of surveyed organisations use AI regularly in at least one business function. Nearly two thirds have not started rolling it out across the enterprise, and only 39 % report any effect on operating profit at all. That distance between trying and running is what this page is about.
Source: McKinsey, The state of AI in 2025, Global Survey, 5 November 2025, 1,993 respondents across 105 nations. mckinsey.com
02 Services

What we build for companies in Munich

Six areas from one team, from the first assessment to running the system.

01

AI agents & RAG systems

Agents that make your company knowledge searchable and handle tasks on their own. Every answer comes with the source it came from. More on this under RAG systems.

LangGraphpgvectorAnthropicOpenAI
02

Process automation & RPA

Recurring work disappears into the background: moving data, reading documents, connecting systems, triggering notifications.

n8nPower AutomatePythonOCR
03

AI consulting & strategy

Before anything is built: where does AI pay off in your company and where does it not. You get a prioritised roadmap instead of a technology list.

AssessmentRoadmapTraining
04

Software & client portals

The surface where your AI becomes usable: portals, dashboards and websites, built lean and maintainable by your own team.

Node.jsPostgreSQLWebflow
05

Compliance & documentation

Article 50 transparency obligations have applied since August 2026. You receive the technical documentation you must keep as the operator.

EU AI ActGDPRDPIA
06

Operation & further work

After handover the system stays looked after: monitoring, model updates and a client portal where you can check the current state at any time.

MonitoringSupportPortal
03 Proof

Three projects, three numbers you can check

No "significantly improved". Every figure below comes from a running system and is broken down in the case study.

04 Positioning

Consultancy, freelancer or agency

All three can be the right answer. An honest comparison so you can tell which fits.

CriterionLarge consultancySingle freelancerKuroko Labs
First working systemMonths, often after a studyFast, but tied to one personWeeks, then in operation
Who does the workOften junior consultantsThat one personThe managing director
After go liveA new engagementRisk if they drop outSupport including portal
BillingDay ratesHourly rateFixed project price
EU AI Act documentationAt extra costUsually not at allPart of the handover
Best suited forCorporates, transformationOne clearly scoped taskMid sized firms, 10 to 250 staff

Scroll sideways for all columns →

05 Process

Seven steps you can follow live

Every project runs through the same stations. In your client portal you can see at any time where it stands, including chat, concept PDFs and proposed appointments.

The first two steps are free of charge. You only decide once the concept and the price are in writing.

Step 1

Enquiry

A short conversation: what should get better, and what is in the way today?

Step 2

Consultation

We look at your processes and your data situation and say openly whether AI pays off here.

Step 3

Concept

Approach, effort and a fixed price, in writing and before anything is built.

Step 4

Development

Built in short cycles, visible in the portal instead of behind a closed door.

Step 5

Review

You test with real data, we sharpen it up.

Step 6

Handover

Handover with training and complete technical documentation.

Step 7

Operation

Monitoring and further development. The system stays looked after.

06 Location

Why an agency nearby makes a difference

Kuroko Labs sits in Neufahrn bei Freising, in the north of the Munich area. From here it is about 25 minutes to Munich central station on the S1 and roughly 10 minutes to the airport.

That is not a marketing detail. AI projects rarely fail on the models. They fail because nobody can get at the knowledge inside the company. Two hours in the same room beat ten video calls.

We work remotely when that is faster and come over when that works better.

Office
Poccistraße 5
85375 Neufahrn bei Freising
Getting here
S1, approx. 25 min from Munich Hbf
approx. 10 min from Munich Airport
Second market
Japan, with on site meetings in Tokyo and Osaka
Registration
HRB 312188, Munich District Court
07 Investment

What a project costs

Most agencies say nothing here. We would rather you know before the first call whether we are a fit.

Projects from
5,000 EUR. Smaller automations and well scoped agents usually sit in this range.
Billing
A fixed project price based on the concept, not a day rate.
Payment
50 % on order, 50 % after acceptance. Proper invoices, no prepayment without a concept.
First call & assessment
Free of charge, including the verdict that your case is not worth doing.
Running costs
Hosting, model usage and support are stated in the concept before you sign.
Contract language
German, English or Japanese. Delivery and invoicing from Germany in euros.
08 Orientation

How to spot an AI agency that delivers

Five questions you should ask any provider, including us. If the answers dodge, you know enough.

Our answers are on this page: numbers in the case studies, prices further up, compliance in our transparency notice.

  • Does it show real numbers? „Significant efficiency gains“ is not a number. Ask for before, after, the period and a measurement you can recalculate.
  • Does it name a price? Anyone unwilling to give an order of magnitude before the third meeting is selling consulting instead of solutions.
  • Who actually builds it? Ask to meet the person who will work on the project, not only the one who sells it.
  • What happens after go-live? A system without care is outdated within a year.
  • Who is liable for compliance? Since August 2026 transparency obligations are operator obligations. The documentation for that has to come out of the project.
09 Data protection & regulation

AI that stands up to an audit

GDPR

Data stays where it belongs

Processing on EU servers, data processing agreements in place, deletion concepts documented. On request on-premise in your own infrastructure.

EU AI ACT

Transparency obligations since 08/2026

As the integrator we supply the technical documentation you have to keep as the operator, including the risk classification. Details in our transparency notice.

TRACEABLE

Answers with a source

Our knowledge agents back every statement with the place it came from. Where the system finds nothing, it says so instead of guessing.

10 Common questions

AI agency Munich: common questions

What does an AI agency in Munich charge?+
Projects start at 5,000 EUR. We quote a fixed project price based on the written concept rather than a day rate, so you know the total before any work begins. The first call and the potential assessment are free of charge.
Do you work with companies that have no German-speaking staff?+
Yes. We run projects in German, English and Japanese. Contracts, documentation and handover can be delivered in English, while invoicing stays in euros from Germany.
How quickly can we see something running?+
A well scoped automation is usually in production within a few weeks. The event platform for Élysée Events went from concept to launch in six weeks. Larger knowledge systems take longer but produce usable intermediate builds early.
Are you based in Munich itself?+
Our office is in Neufahrn bei Freising, in the northern part of the Munich area. That is about 25 minutes from Munich central station on the S1 line and roughly 10 minutes from Munich airport, which matters when your team flies in.
What about GDPR and the EU AI Act?+
Processing runs on EU servers, data processing agreements are in place, and deletion concepts are documented. Since August 2026 the transparency obligations under Article 50 apply, and we hand over the technical documentation you need as the operator.
Can the system run entirely on our own infrastructure?+
Yes, where the data cannot leave your building. In our meeting dashboard project the speech recognition runs locally on customer hardware for exactly that reason.
Who actually builds the system?+
The managing director works on the project. You will not be introduced to a senior consultant and then handed to a junior team after signing.
How do you measure whether the project paid off?+
Before we start we record the baseline, for example the handling time per case or the error rate. After go-live the same figure is measured again. At Élysée Events that was 23 hours of work per event before against 84 minutes after. Without a baseline measurement there is no hard evidence later, which is why it belongs in the concept.
Can AI be integrated into our existing systems?+
As a rule yes, and it is the normal case rather than the exception. We connect existing databases, mailboxes, file stores and line-of-business applications through their interfaces; where there is none, we work with automation on the surface or with text recognition. In the RAG project seven different sources fed into a single search system in parallel, among them documents, mailboxes and meeting transcripts.
Do you also work with Japanese companies?+
Yes. Two of our three case studies come from Japanese manufacturers and ran in Japanese and Thai. For groups with operations in both Germany and Japan that means one partner for both sides.
11 Read on

Related topics

Next step

Tell us about one of your processes.

Thirty minutes, free of charge and without a sales pitch. At the end you will know whether AI is worth it for your case, including when the answer is no.

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