Einar K. Holt
Founder & Partner
Einar er fra Trondheim og grunnlegger av Tenki Labs, et norsk AI selskap med røtter på NTNU som publiserer AI forskning i verdensklasse. Han studerer informatikk ved NTNU.
Who we are
Tenki was started around one observation: three developments are acting on Norwegian companies at the same time. Data regulation, AI that's already in daily use, and a new infrastructure for work. We believe the interesting work lies in answering all three together, not one at a time.
· Founders
The people building Tenki.
Oscar G. Westbye
Co-founder & Partner
Oscar har ansvar for forretningsutvikling, operations og økonomistyring i Tenki Labs. Han studerer Industriell økonomi og teknologiledelse ved NTNU, med teknisk fordypning i datateknologi. Han er spesielt interessert i hvordan KI-teknologien påvirker næringsliv og samfunn.
Andreas Grønbeck
KI-Ingenør
Andreas studerer maskinlæring og kunstig intelligens ved Universitetet i Oslo, med særlig interesse for matematikken og statistikken bak moderne modeller. Han Jobber med lokal inferens og KI-infrastruktur som kjører på egne servere, uten at data forlater huset. Opptatt av å forstå systemer fra bunnen av, fra gradientalgoritmer til lavnivåprogrammering i C.
· We're not alone
«Små, spesialiserte språkmodeller skal ikke erstatte store kommersielle frontier-modeller. De gir tilgang til språkteknologi som kan tilpasses, kjøres lokalt, fullt kontrolleres og driftes kostnadseffektivt.»Small, specialised language models aren't meant to replace large commercial frontier models. They make language technology available in a form you can adapt, run locally, fully control, and operate cost-effectively.
This is exactly the approach we build for Norwegian SMBs: local models, Norwegian infrastructure, full control.
· Backdrop
Three forces, acting at the same time.
We often talk about "the AI shift" as if it were one movement. It isn't. Three developments are acting in parallel on Norwegian companies, and it's the combination, not any one of them alone, that's interesting to understand.
Data sovereignty
Europe is introducing rules that data about Europeans must be controllable from Europe. For the data that matters, like client documents, accounts, and source code, where the systems live isn't a minor detail anymore.
Shadow AI
People already use ChatGPT, Copilot, and Gemini at work. Client documents, salary figures, customer lists pass through them every day. Not because anyone is careless, but because the tools work.
Competitive pressure
AI is a new infrastructure for work, much like the internet was in the '90s. The companies that didn't adapt to the internet largely don't exist anymore. That shift didn't come gradually either.
· Our answer
How we work with AI.
We build on three layers because solving just one of the problems isn't enough. Local infrastructure without competence becomes an expensive server cabinet. Competence without your own systems becomes consultancy hours. The combination is the whole job.
Infrastructure
We make sure the machines running the AI sit where the data belongs.
Implementation
We build the systems that actually make AI useful in a working day, connected to the data and shaped by the task.
Competence
We train people so the team owns the system itself. Tenki shouldn't be an indispensable black box.
Want to work with us?
Tell us what you do, and we'll be honest about whether we think we can help, or whether you should talk to someone else.