AI Product & MVP Development in Munich
The best AI Product & MVP Development in Munich, at the best available price.
A real, production-grade build you can put in front of users or investors. Frontend, backend, mobile, the agentic AI underneath, and the cloud or private infrastructure it runs on, as one engagement rather than four vendors.
Munich's economy is built on large engineering and financial corporations: carmakers and their suppliers, industrial technology groups, and some of the world's biggest insurers and reinsurers. Software here is bought by corporate IT and procurement departments with long qualification processes, and the startup scene around the Technical University of Munich often sells deep tech into those same corporations.
Munich founders, many of them out of TUM, are usually building deep tech or industrial software for corporate buyers. The build produces a product that can survive a corporate IT qualification: documented architecture, access control, audit logs and EU hosting.
What you get
- Full-stack build on Next.js, Node or Python, with a database and API design that survives past the MVP
- AI where it earns its place: LLM features, retrieval over your own documents, agent flows that call real tools, voice
- Auth, payments, analytics and an admin surface, not a demo that breaks on the second user
- Deployment across AWS, GCP or Azure, or private and on-premise hosting where the data demands it
- Clean, documented code on your own infrastructure, written to make us replaceable on purpose
Final pricing depends on scope, features and complexity, so we settle it on a call before any work starts.
Invoiced in USD or EUR, payable by Wise or bank transfer.
Request a callback
You speak to the engineer who does the work. No sales rep, no deck.
Who builds here
On-Premise LLM Deployment
Munich's insurers and engineering groups hold some of the most sensitive data in Europe, from claims files to unreleased designs, and they rarely allow it to reach a shared model API.
What Munich companies build with us
Get it built at $0.
That is not a discount. It is when you pay. The work is split into checkpoints with acceptance criteria written down before anything starts, and each checkpoint is invoiced only after you have seen it and accepted it. No deposit.
- $0 to start
- You hold every dollar until a checkpoint is delivered and you accept it. No approval, no invoice.
- Fixed cost, unlimited features
- Or hire the team outright: one fixed monthly cost, unlimited feature development, any stack.
- The engineer takes your call
- The person on your first call is the one who architects and writes it. No account managers, no bench time.
A US agency quotes $50,000 to $150,000 for the same build and asks for 40 to 50% of it before a line is written. Account managers, project managers, sales commission and bench time. None of it appears in your product.
Three stages, nothing hidden.
Twenty-minute call
You talk to the engineer who will build it, not a sales rep. We scope the problem and you get told plainly if this is the wrong fit.
Fixed proposal in 48 hours
Fixed price, fixed timeline, defined deliverables, in writing. No hourly billing surprises and no open-ended scope.
Weekly demos until it ships
Working software every week, direct access over Slack or WhatsApp, and documentation handed over at the end.
What actually applies here.
Regulation and data
GDPR and the BDSG apply, and private companies in Bavaria are supervised by the Bavarian State Office for Data Protection Supervision (BayLDA). Works council co-determination under Section 87(1) no. 6 of the Works Constitution Act is routine in Munich's large employers, so any tool that can monitor staff needs early agreement. Automotive suppliers are usually asked for a TISAX assessment, and vehicle software falls under the UNECE R155 cybersecurity rules. Insurers have applied DORA since January 2025, which replaced BaFin's VAIT for firms in its scope. Germany's NIS2 act has applied since December 2025. The EU AI Act has been in force since August 2024: general-purpose model rules applied from August 2025 and transparency duties from August 2026, while the 2026 Digital Omnibus moved the main high-risk obligations to December 2027 for stand-alone systems such as hiring or credit scoring, and August 2028 for AI built into regulated products.
Contracting and payment
You contract with an individual consultant based in India. Invoices in EUR or USD, paid by Wise or bank transfer. Your accountant handles an overseas supplier in the usual way, and any documentation they need is provided before access is granted.
Working hours
Four or more hours of daily overlap across your morning, Central European time, with same-day replies on working days.
Can you work with a TISAX or corporate IT qualification process?
Yes, on the engineering side. That means documented architecture, named limited-privilege access in your accounts, and evidence for your security questionnaire. The assessment itself belongs to your organisation, and we supply the technical material it needs.
Can the model run on our own hardware in Bavaria?
Yes. A private deployment can run on servers you own or in an EU region of your cloud account. Nothing is sent to a third-party model provider, and you keep the weights, configuration and logs after handover.
Is three days realistic?
For a working, demoable version of a core idea, yes, and that is what the three-day build is. A full production system with billing, admin and hardening takes weeks, not days. We will tell you which one your situation actually needs.
Do we own the code?
Entirely. It ships into your repository on your own cloud accounts, documented so your team or your next hire can pick it up without us.
Can you also host the AI model privately?
Yes, and as part of the same engagement. If compliance means inference cannot leave your network, the serving layer and the application are built together rather than handed between vendors.
MVP Development
A working MVP in as little as 3 days, from $1,000. Production-grade, not a throwaway prototype.