AI agency in Hamburg
We are based at Spielbudenplatz in St. Pauli and work with companies across the metro region — on site for workshops and afterwards in implementation.
Davies Meyer is an AI marketing agency based in Hamburg at Spielbudenplatz 24-25. We support companies from use case selection through technical implementation to enabling their own teams. On-site meetings in Hamburg and the metro region can be arranged at short notice; implementation then runs remotely.
Our approach: creative engineering
We work neither as tool consultancy nor as a classic production agency, but in between: creative engineering means building the production chain behind the creative work — templates, generative modules, checkable brand rules and delivery as one system. The creative judgement stays with the team, the multiplication becomes an engineering task.
The concept stays human
Idea, visual language and tone are created as before. What follows is what gets automated: variants, formats, language versions, delivery.
Brand rules the machine can check
Colour, typography, logo usage, forbidden claims — stored as rules that apply automatically before approval instead of sitting in a PDF guideline.
Production as a chain, not a tool
Template, generative module, validation step, approval and delivery interlock. A single tool without that chain only moves the manual work elsewhere.
Impact measurable at creative level
We evaluate not only the campaign but the individual attribute: hook, composition, colour world, length. That feeds the next production round.
What we take on
On-site workshops
Strategy and use case workshops at your offices or with us in St. Pauli.
Implementation & integration
From pilot to production, connected to your existing systems.
Team enablement
Training for marketing, sales and leadership — hands-on rather than a tool show.
Governance & compliance
GDPR-compliant setups and EU AI Act disclosure duties handled properly.
How the engagement runs
- 01
Assessment
We review your processes, data situation and existing stack, and document where AI realistically creates impact today — and where it does not.
- 02
Prioritisation & business case
Use cases are ranked by effort, impact and risk. Every candidate gets a transparent calculation instead of a gut estimate.
- 03
Pilot in production
We build the first use case all the way into real operations — including system integration, approval flow and measurement points.
- 04
Scaling & enablement
What works gets rolled out and handed over: playbooks, training and governance, so you do not stay dependent on us.
Frequently asked questions
30 minutes, a concrete assessment
Describe your use case briefly — we will say plainly whether and how it pays off.