We create clarity, build algorithms and run data-driven analyses with AI technologies like decision science, GenAI, LLMs and machine learning.
We use simulation, optimisation and data analysis to answer the questions your business can't solve with intuition and Excel. We find the answer with your data, your constraints, your numbers — so you can simulate, test and decide instead of guessing.
We don't build reports.
We build answers you can act on.
OUR APPROACH
The real potential of AI isn't in automating what you already do. It's in giving your people a better basis for decisions, challenging old assumptions and opening up options you didn't know were possible. Even modest improvements in decision quality can move the bottom line by several percent.
That takes business understanding — from the shop floor to the board. Without it, AI is just an expensive pilot project that no one uses.
We always start with a no-strings chat. We meet, get to know your setup — what works, where the pain is, and what you've already tried. No preparation needed on your side.
We map out where and how AI can actually create value, starting from what makes your business unique. Interviews with key people, a look at your data, scoring by potential, impact and readiness.
A prioritised roadmap with business cases and an action plan — including things you can solve without us.
We give you a data-driven answer to the big business questions. We model your business with your own data, so you can simulate scenarios and test the consequences. What drives the costs? Where is there real room to move?
A model that answers your questions, and an action plan with concrete numbers.
When the question keeps coming back, we build a tool you can use yourselves. A dashboard that shows what costs the most. An algorithm that plans the routes. A model that forecasts demand. Tailored decision support — built for your daily work, not for a demo.
Technical depth and commercial experience in the same team. Together we have 25 years of experience building what's too complex for Excel. Tue builds the engine. Anne-Cathrine pins down the problem. Together we go from business question to data-driven answer.
CTO & Co-founder
PhD in mathematical economics and operations research. Has spent 15 years solving problems that are too complex for Excel and too important for gut feeling. Builds algorithms, machine-learning models and simulation solutions that run in production — across aviation, energy, transport and pharma.
CEO & Co-founder
Background in philosophy, psychology and AI research. Has introduced AI solutions in manufacturing, logistics and healthcare — not as tech projects, but as business decisions. Translates between business need and technical possibility. Makes sure we solve the right problem, and that the solution gets used, not just delivered.
30 minutes. The questions you're already sitting with. Afterwards you'll know what's worth pursuing.
