Kapllan Labs exists to build enduring AI capability in the Nordics.
We focus on building the knowledge required to develop advanced AI capability over time, close to our own languages and institutions.
We are not building toward a single app or a single model. We are building the knowledge, methods, technical competence and systems understanding required to develop advanced AI capability over time.
We believe critical AI competence should not only be rented from external systems. It must also be developed locally, close to our languages, institutions, industries, values and real world problems.
Kapllan AI is a lab where research, engineering and practical application come together. The systems, models, tools and products that emerge are the outcome of that process working.
Five ways to work with the lab. All of them leave capability behind.
Bring us a hard problem. Keep the method.
A real problem from your organisation, run as a research engagement: scoped, measured, written up. You keep the system and the reasoning behind it.
Fluent is not the same as correct.
Models adapted to one field, on your data, in your language, held to your rules of evidence.
Nordic speech, built from the ground up.
Voice and transcription for the Nordic languages, with the evaluation that proves they hold in the room.
Systems that ask before they guess.
Reading, planning the next step, escalating when unsure, inside the processes you already run.
We would rather be unnecessary.
Your team trained alongside ours and the system handed over running, so the competence stays in the building.
We train in house, and we watch the numbers.
Where the names come from, drawn out loud.
From the rack to the review console, we run the whole pipeline ourselves.
Metal
Enterprise racks, GPU nodes and storage we own and operate, for everything that runs day to day.
Frontier compute
Frontier clusters back the stack when a run needs more than the house can give.
Cluster
Virtualisation, networking and scheduling across the nodes, one addressable cluster.
Data
Collection, cleaning, dedup and versioning of the corpora we train on.
Training
Pretraining and post training runs, tracked end to end with every checkpoint kept.
Evaluation and review
Automated evals plus our own human review console, where native speakers judge the output.
Serving
Inference on our own hardware, behind our own gateway, with the data staying here.
Observability
Every node, job and run scraped and dashboarded, so nothing about a run is a guess.
We are building the capability, not just the product.
If that is the kind of work you want to do, or the kind of partner you have been looking for, we would like to hear from you.
hello@kapllan.ai →