
Empowering businesses with AI.
AI connected to the systems you already own and tied to a number it has to move — governed well enough to stay in production.
Follow the speed of AI
The challenge
Pilots that never ship
A demo lands well, and then it stalls: the data it needs sits behind three systems, nobody owns the output, and there's no answer to what happens when it's wrong. The pilot quietly becomes a screenshot in a deck.
Our approach
Tie it to a number and a system
We connect AI to the systems you already own and hold it to a metric it has to move. Then we build it like any other production system — tested, monitored, audit-logged, with a human in the loop where the stakes require one.
Results
AI that stays in production
The same platforms and audit standards we use for regulated financial systems, applied to AI. That's the difference between something that survives its first bad week and something that doesn't.
Our AI services
Agents that carry out real work across the systems you already run, integrated through MCP and your existing APIs — scoped deliberately, with the boundaries and approvals written into the design.
Retrieval-augmented assistants grounded in your own documents and data, so answers trace back to a source rather than being trusted on faith — for the people you serve and the teams behind them.
Models trained and retrained on a schedule you control, with evaluation harnesses, audit trails and human review built in — so you can show what the system did, why, and how it has performed since.

Selected work

AI & Data
Sýn — An AI-native data platform
Iceland's telco and media group replaced a legacy warehouse estate with a self-running Databricks lakehouse — AI on both sides of the platform, and roughly half the run-rate.

AI
Kvika — Five generations of a credit decision engine
Scored in seconds, explainable to a regulator, and defended on evidence — five model generations of credit decisions on one operating layer, governed years before anyone called it MLOps.

AI
MTK: AI-driven development, held accountable
AI now writes a serious share of our code. MTK is how we make sure that never lowers the bar — spec first, tests second, AI-generated code third.
Moberg Delivery Framework
01
Innovate
Start from the business case — where the growth is, and what the data says about it.
02
Engineer
Build on proven foundations — accelerators shaped by a decade of production systems.
03
Accelerate
Live next quarter, not next year — weeks to tailor, evidence at every gate.
04
Scale
We stay to run it with you — operating and evolving what we build.