A varde is a Norwegian cairn.
Stacked stones on a ridge or a summit, built by whoever came first so that whoever comes next can find the route across open terrain. Most Norwegian summits have one. Nobody owns them, and they outlast the people who built them.
A varde is built to be useful to the people who arrive after it. We hold the work to the same test: the system stays once we go, the people who use it own it, and it keeps running when conditions change.
Between us we have spent two decades inside the institutions we now work with: management consulting and investment banking, a decade turning research into governed digital tools serving millions at MIT and the World Economic Forum, and engineering at the scale of a two-trillion-dollar sovereign wealth fund and an AI platform on more than ten thousand construction sites.
We trained at UC Berkeley, NTNU and Princeton, in AI, machine learning, finance and public policy. We have shipped around fifty production integrations, built the systems behind hospital groups, fund managers, law clinics and foundations, and spoken on AI across four continents.
What we share is a conviction that the hard part of AI in an institution is not the model. It is the data underneath it, the governance around it, and the people who have to run it after we leave.
