AI Product & MVP Development in Frankfurt
The best AI Product & MVP Development in Frankfurt, 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.
Frankfurt is continental Europe's main financial centre, home to the European Central Bank, the Bundesbank, Deutsche Börse and a dense cluster of banks, asset managers and payment firms. It is also one of Europe's biggest data centre and internet exchange locations. Software is bought through vendor risk management, outsourcing registers and information security reviews, and almost every buyer is either regulated or supplies someone who is.
Fintech and regtech founders in Frankfurt sell to institutions whose vendor reviews ask about resilience, exit plans and incident handling. The build is designed to answer those questions: audit logs, documented recovery and EU hosting from the first release.
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
Frankfurt's banks and their suppliers work under DORA third-party risk rules, and a model hosted inside their own environment is far easier to put through that review than a new external AI provider.
What Frankfurt 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
Banks, insurers, investment firms and payment institutions have applied the EU's Digital Operational Resilience Act (DORA) since January 2025, covering ICT risk, incident reporting, resilience testing and the register of ICT third-party providers; for firms in its scope it replaced BaFin's BAIT. BaFin also keeps market surveillance powers over AI used in regulated financial activities under Germany's July 2026 AI implementation law. GDPR and the BDSG apply, with the Hessian Commissioner for Data Protection supervising private companies, and works councils have co-determination rights over tools that can monitor staff. 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 within DORA third-party risk requirements?
Yes. Expect to provide information for your register of ICT third-party providers, follow your access and incident procedures, and keep work inside accounts you own. Exit is simple because the code, infrastructure and documentation are yours from the start.
Can everything stay in Frankfurt data centres?
Yes, where your cloud account or hardware is there. Deployments can be pinned to a Frankfurt cloud region or to your own servers, with the model, serving layer and logs all kept inside that boundary.
How does the time difference work with Frankfurt?
Four or more hours of daily overlap across your morning, Central European time, with same-day replies on working days. The work is remote from India, and reviews, incident calls and demos are scheduled inside that window.
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.