AI-first mobile studio · est. 2001
Ship the product. Build the capability to keep shipping.
Build a new mobile product or evolve the one already in front of you. We deliver it alongside your product and engineering team. On embedded build engagements, we also hand over the specifications, review rules, tests, and release gates your team can keep using.
Teams arrive in one of three situations: an existing team needs an AI-first delivery system, an existing app needs safe agent access, or a new mobile product depends on AI for its core user value.
The challenge
You want AI in your product. The safe path is not obvious.
AI can draft code in hours. Someone still has to own the architecture, the security review, and the release.
Agents need access to systems that were never built for them. Legacy systems, GDPR, budgets, and unclear ownership slow every decision, for good reasons.
Carrying those questions while the roadmap keeps moving is hard.
We believe AI should make your senior engineers faster. It should not replace their judgment.
That is AI-assisted engineering, not vibe coding.
Already have an AI-built app? Take the 12-question readiness check.
Why M-Squad
We have been on your side of the table.
We have built mobile products for more than 20 years. We know what it takes to move a product forward inside a real organization.
We help product and engineering teams shape, prototype, and deliver mobile apps, AI agents, Agent Gateways, and digital product systems across Germany, DACH, and Central Europe.
We work best alongside internal teams, from early product concept and architecture to implementation support and launch readiness.
We use AI as a force multiplier for senior engineers, not as a replacement. Senior engineers keep responsibility for your architecture, security, and release.
Go deeper: our AI-first approach, how to choose your build path, or more about us.
What senior AI delivery looks like in practice
Operator self-care app, AI-first prototype
Could the next version of a ~3M-customer mobile operator app become a platform, not just a rewrite? One senior engineer, working with AI, built a working prototype in four days: secure login, an AI assistant with live account tools, voice, and an Agent Gateway concept. A prototype, not a production launch.
See our work →GenAI Wednesday
Daniel Melter of M-Squad co-founded and co-organizes GenAI Wednesday (opens in a new tab), Munich's community for founders, builders and investors exploring generative AI in practice. 80–120 practitioners meet every month or two for real case studies. It keeps us close to where AI is actually being built and shipped.
“Great talk: engaging, informative, entertaining, professional. And great networking.”
Webcroft, open source
Webcroft (opens in a new tab) is an open-source set of AI skills for building websites. Our co-founder Daniel Melter builds it as a personal project, supported by M-Squad. The AI writes the pages. A test gate of accessibility, SEO, and tone checks decides what ships. Its GitHub repo still uses the working name website-builder.
Your path
Three steps to a first release
- Talk it through One call to map your situation, constraints, and goals.
- Prove it small A prototype or Lighthouse Project: one journey, a small blast radius, a reviewable first step.
- Build it with your team We deliver alongside you and hand over the specifications, tests, and release gates.
You keep the codebase, the decisions, and the practices. No lock-in.
Want the detail? See our full process.
What we do
What we help teams deliver
We help product and engineering teams shape, prototype, and deliver AI-first mobile apps, in-app agents, Agent Gateways, backend workflows, admin dashboards, and prototype-to-MVP product systems. Each one can be your first step, or the build that follows it.
Mobile Apps
Move a consumer or internal mobile product from decision to tested, release-ready software.
Explore Mobile Apps →AI Agents
Help users and staff complete real tasks, with explicit permissions, useful fallbacks, and human handoff.
Explore AI Agents →Agent Gateway
Let approved assistants complete product tasks while your business keeps consent, rules, and auditability in control.
Explore Agent Gateway →Product Systems
Make the product work beyond the screen with the flows, APIs, dashboards, and operational tools behind it.
Explore Product Systems →Strategy & Prototyping
Test a new product or service idea, prototype the risky part, and make a build, change, or stop decision.
Explore Strategy & Prototyping →Production-Readiness Audit
Get a senior go/no-go verdict on an AI-built app, plus the evidence and remediation path behind it.
Explore Production-Readiness Audit →See all services, or weigh up a build path: compare React Native, Flutter, native, and web in our mobile app technology guide.
Why now
AI moves at warp speed. Your first step should not wait.
AI tools change in months, not years. The company-wide plan will take time, for good reasons. Your first step does not have to.
Many teams want to start. But the first step is not obvious, and support across the organization is uneven. So AI-written code arrives here and there, without a shared structure. Often it arrives faster than anyone can review it. Without shared review rules, a missed issue can turn into rework just before a release. That builds pressure, and it opens a gap between the people who build and the people who sign off.
The rules do not wait either. The transparency rules of the EU AI Act (opens in a new tab) have applied since 2 August 2026. If people interact with an AI in your product, they usually have to be told so, plan or no plan.
So why not pick one thing that can make a real difference in a few weeks? Start with a small team and one project. See how it works in practice, and how it resonates across your organization.
Before and after
What changes for your team
The goal: your team ships with AI on a steady rhythm. Here is the change we work toward with you.
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Before AI writes code faster than your team can review it.
After Your engineers review each change against agreed tests and review rules.
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Before Agent access waits on legal, security, and data questions, for good reasons.
After Approved AI agents, from ChatGPT to Siri, can take a few defined product actions, such as checking an order. Actions require consent and leave an audit trail.
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Before The company-wide AI plan is still taking shape.
After One Lighthouse Project gives that plan real evidence.
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Before AI-written code and AI features make releases harder to predict.
After Each release goes through the same tests, AI evals (repeatable checks of what the AI says and does), and release gates.
What that can look like: a working AI prototype for a ~3M-customer operator app. One senior engineer, AI-assisted, built it in four days as an internal sprint. A prototype, not a production launch. See the operator case in our work.
A working product. A team that can keep moving it.
Best fit
Who we work best with
- Consumer services building or rebuilding a mobile product
- Teams adding AI agents to customer or operations workflows
- Companies with mobile apps, accounts, service data, and backend complexity
- Corporate product and innovation teams testing new product and service ideas
- Product teams and founders that need a working prototype, MVP, or build partner
- International mobile and AI companies entering Germany or DACH
Probably not a fit for one-off landing pages, logo design, or projects without product or engineering depth.
Ready for your first safe step?
Tell us where you are. We will help you find the smallest step that matters.