The right AI system starts with the right problem.
For companies that know AI could help but need someone to define the problem precisely and build the solution well.
The problem
Most AI projects don't fail because the technology doesn't work. They fail because the problem was never properly defined, the solution was built at the wrong level of complexity, or nobody thought about what happens after it ships.
The gap between “we think AI could help here” and a working system is smaller than most companies expect. But it requires someone who will take the time to understand the business before choosing the technology, and who can build something reliable enough to hand over.
That's what SmartAI Labs does.
What SmartAI Labs does
Every engagement starts with deep research into the domain and the business. The real problem gets defined before any code is written. Requirements and constraints matter more than technology choices. The result is a system that solves the right problem at the right level of complexity.
Prove it out.
A concept or hypothesis that needs testing. A working prototype that answers one question: does this actually work? Typically 1–2 weeks.
Build the MVP.
The concept has been validated and needs to become a real system. Reliable, documented, ready for users or for an engineering team to take further. Typically 3–8 weeks.
Novel applications and products.
Problems where it's not obvious AI can solve it, or domain expertise that could become a scalable product. Scoped individually, built methodically.
How it works
1. Understand the problem.
Before anything gets built, the real work is defining exactly what should be built and what shouldn't. Deep domain research, honest assessment of whether AI is the right approach, and a clear picture of what success looks like.
2. Scope it precisely.
A clear proposal: what gets built, what the deliverables are, the timeline, and the cost. No ambiguity, no open-ended engagements.
3. Build it.
Working deliverables at each milestone, not a reveal at the end. Where the project requires encoding business logic or domain knowledge, SmartAI Labs works closely with the client's team. Otherwise, the work happens independently and progress is delivered at milestones.
4. Hand it over.
Documentation, walkthrough, and everything needed to run the system independently. Every engagement is designed to end with the client fully self-sufficient.
Built by
Founded by Guillaume Picard after building AI systems at Apple, Electricity Maps, and FORCE Technology, and delivering AI projects for over 20 companies across industries.
Based in Copenhagen. Working across Europe and the US.