Prototyping & Validation
We believe the fastest way to reduce uncertainty is to build something real. A proof of concept is a working prototype that focuses on the core functionality of your idea. Instead of long planning cycles, we deliver tangible results in weeks, allowing you to test both technical feasibility and business value. This proof of concept focuses on the core features of your idea, helping you validate complex use cases, gather feedback, and make investment decisions.
Technically sound, strategically aligned
Our proofs of concept combine our strengths in platform development and AI integration, ensuring what we build is both technically sound and strategically aligned with your goals. To give you an idea of the tools and software we use or keep an eye on, we’ve built our very own Techradar
Our fast and low risk approach helps you innovate sooner, reduce uncertainty, and bring new solutions to market with confidence, while serving as a research and validation phase within a limited scope and timeframe. The outcome demonstrates feasibility and potential but does not constitute a fully functional or production-ready system and is intended solely as a basis for further development, validation, and decision-making.
AI Discovery Track
We guide you from first principles to concrete decisions, in three focused tracks. Each track stands on its own, but together they form a clear path from ideas to execution.
Foundation Phase
Before tools and models, you need alignment. This phase establishes a common language around AI across business and technology.
What we do
- Demystify AI, LLMs, and automation in plain language
- Explore what is and isn’t realistically possible today
- Map AI concepts to your business context
- Identify early opportunity areas and constraints
What you get
- A shared AI baseline across stakeholders
- Clear understanding of risks, limitations, and hype
- Initial opportunity hypotheses worth exploring further
Proof of Concept
Turn ideas into something real, fast.
In this track, we validate assumptions by building. Not a polished product, but a focused experiment that answers one key question: does this actually work for us?
What we do
- Select one high-impact use case
- Design and build a lean AI proof of concept
- Test with real data and real users
- Measure feasibility, value, and effort
What you get
- A working prototype
- Concrete learnings instead of opinions
- Clear signal: pursue, pivot, or stop hypotheses worth exploring further
Roadmap
From experiments to deliberate execution.
The AI Roadmap translates insights into a clear, prioritized plan. It aligns technology, people, and process, so AI initiatives don’t stay stuck in pilot mode.
What we do
- Prioritize validated AI use cases
- Define technical and organizational prerequisites
- Identify build vs buy decisions
- Outline governance, risk, and capability needs
What you get
- A pragmatic AI roadmap
- Clear next steps and sequencing
- Confidence to invest with intent
Use Cases
Accross industries we have implemented a range of use-cases with our pragmatic approach:
