AI software development that does more than demos.

We build AI-powered software that replaces manual work. The apps and platforms we build are in daily use, including our own app with 60,000 users. That's where we bring AI: cleanly connected, GDPR-compliant and ready for real-world use.

Louis Nell, Managing Director of KNGURU
Louis Nell, Managing Director of KNGURU
  • App screen for Red Bull Salzburg
  • Scoops: recipes from food creators in the app
  • App with jobs and teams for tradespeople
  • App for booking e-shuttle rides
  • App for booking offices and rooms
  • Community app for dog owners with map and chat
  • App with bedtime stories
  • Augenzeuge: tips and messages in the app
  • Daycare app with attendance, schedule and chat
  • RadlScout: find and sell bikes
  • Funellab: website for recruiting through social media
  • Elaris: website for an electric car

Not just developers, but real advisors for your software

Plenty of teams build impressive AI prototypes that never reach production. We come from product development and have done design, code and operations for over 7 years. That's why we build AI features the way software should be built: tested, maintainable and connected to your systems.

Where AI fits into your software

What matters is where AI adds real value to your product. We'll tell you honestly which of the three paths fits your project.

  1. 01

    Smart apps with AI

    New products with AI built into the concept from day one. From copilots to content that adapts to each user.

  2. 02

    AI-powered development

    We use AI in how we build, too. That means faster prototypes, shorter rounds and more time for the quality that matters.

  3. 03

    AI integration into existing systems

    Your software is already running? We add AI features through clean interfaces, without rebuilding your system.

Software development with React Native, cloud and AI technologies

We use technologies that keep your software stable and fast, even with lots of users.

Front-end
React NativeReactNext.js
Back-end & infrastructure
FirebaseNode.jsSupabaseRailway
Integrations
RevenueCatStripeGoogle APIsGitHub
Design & prototyping
FigmaFigJamIllustratorAfter Effects
AI
GeminiClaudeChatGPT

AI software development: compared to traditional development

The difference is in the process: AI gets you from concept to a working product faster.

  1. 01

    After one month

    The traditional way, you're still in workshops, requirements and early wireframes. With AI, you're already clicking through a prototype built in days, not weeks.

  2. 02

    After two months

    The traditional way, the designs are still going through feedback rounds. With AI, core features and integrations are already being built and tested.

  3. 03

    After three months

    The traditional way, the product is still stuck in approvals and planning. With AI, a first version can be live and learning from real user feedback.

AI software development: built by real developers, made faster and smarter by AI

  1. Requirements & feasibility

    We clarify what your software needs to do and where AI really helps. Honestly, even if the answer is “no AI”.

  2. Concept & architecture

    UX design and technical architecture: which model, which data, which integrations. The data privacy concept is part of it.

  3. Prototype with real AI

    We build in short rounds with React and modern cloud infrastructure. You see a working prototype with real AI early, not at the end.

  4. Development & launch

    We build the software, launch it and watch how it runs in real life. AI products get better when you measure and improve them in daily use.

Founders & companies who trusted us with their ideas & apps.

Nine out of twelve reviews say the same thing: we push back when something won't work for users.

  • OMR Reviews Proud Partner 2026: UX Agencies
  • OMR Reviews Proud Partner 2026: App Development Agencies
  • German Stevie Awards 2026: Gold for PetPlanner

Good reasons to use AI in your business

AI software development means more than adding a chatbot or connecting an API.

  1. 01

    Less manual work

    AI takes tasks off your team's plate that are still done by hand today. From an assistant for daily work to a system that runs a whole process on its own.

  2. 02

    More from your data

    Many companies have valuable data but can barely get to it. We turn it into software that analyzes, spots patterns and reacts in real time.

  3. 03

    New capabilities in your product

    AI can teach your product things it couldn't do before. Built around your data, your systems and your goals, not around an off-the-shelf tool.

Why AI projects without a clear use case fail

  1. 01

    Poor data and lack of integration

    AI is only as good as the data behind it, and without context even a strong model delivers nothing useful. If the solution runs next to your tools instead of inside them, nobody ends up using it.

  2. 02

    Lack of user acceptance and poor UX

    Even technically strong AI fails when people don't understand or trust its results. Then they quickly go back to doing the work by hand.

  3. 03

    How we build AI that truly delivers value

    We first ask where AI takes work off your team or improves decisions, then build it into the tools your team already uses. We make results easy to follow, test early in daily use and keep improving after launch.

Looking for AI software development that delivers?

Wondering if we're the right partner for your project? Get in touch and we'll talk through the possibilities together.

How much does AI software development cost?

It depends on the scope, since a built-in AI feature is a different job from a full platform. After a free initial call, you get an honest assessment of the effort and the alternatives.

Which AI technologies do you use?

Language models (LLMs) and other models depending on the use case, RAG so the AI can use your own knowledge, and custom AI agents. All built with React and modern cloud infrastructure.

Do you build complete products or just AI features?

Both. We build AI into existing software or develop new products from scratch, with design, development and operations from one team.

Is the software GDPR-compliant?

Yes, data protection is part of the architecture from the start, from choosing the model to hosting that meets European requirements.

How long does an AI software project take?

A first working prototype is often ready in a few weeks. We plan the full build in stages so you see results early.

Do you work remotely or on-site?

We work remotely and support clients all over Germany, from Berlin and Hamburg to Munich. On-site meetings are possible by arrangement.

Book your free call.

We look at your plans with you as if they were our own. If the build isn't worth it, we'll tell you, even if that means no project.

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