The full catalogue — case studies by solution and industry, partnerships, and company milestones. Every entry drawn from a real engagement.
Two strong answers to the same modernization question — a neutral comparison across use cases, skills, cost, AI, governance and CI/CD.
Read the post →Mobile development and quality assurance across four digital-therapeutics apps — including the medically verified Meno!.
Read the case study →Grocery, e-commerce and pharmacy data unified on Databricks — with CI/CD and DevOps introduced mid-flight.
Read the case study →A full webshop end-to-end — backend, every integration, frontend — that carried the business through a model transition.
Read the case study →The backend of Erste Card Club's transaction app rebuilt from scratch — without interrupting the clients using it.
Read the case study →Flutter development inside a Deutsche Telekom-group delivery organisation — built to a global telco's bar.
Read the case study →User portal and back office shaped in a two-day discovery, shipped as an MVP, growing feature by feature.
Read the case study →How Netgíró's credit models evolved through five generations on one operating layer — versioned, monitored, retrained on schedule since 2018.
Read the case study →Conversational analytics over the farm lakehouse: biomass, feed and harvest questions answered with citations, under the platform's governance.
Read the case study →Deal-level margin known before a campaign runs — group-buying and BNPL analytics on a shared data foundation.
Read the case study →Bronze / Silver / Gold across an investment bank — every Gold figure walkable back to a Bronze event, ROI 80%+ in year one.
Read the case study →Five scorecard generations and audited monthly ECL production — ~2× reduction in risk losses after rollout, defended in board meetings since 2018.
Read the case study →Forecasting biomass and harvest windows from farm, feed and environment data — production decisions made weeks earlier.
Read the case study →Payments, loan management and automated credit scoring built from the ground up — 2,000+ merchants, backend and mobile app run by us since 2013.
Read the case study →Kick-off September 2022, first transaction April 2023, 50M+ transactions in 18 months — portals, APIs, hosted checkout and a Shopify plugin.
Read the case study →Mobile self-checkout for Iceland's largest grocery chain: scan as you shop, pay in the app, walk out — retail-floor reliability on consumer UX.
Read the case study →Infrastructure for a payment facilitator built from scratch: gated deployments, secrets discipline and audit trails from the first commit.
Read the case study →DWH consolidation, then a 10 TB Medallion lakehouse, then full cloud migration — ROI 80% / 83% / 57% in year one, by stage.
Read the case study →Campsites, mobile homes, villas and holiday houses sold through four storefronts — unified property data, search and booking underneath.
Read the case study →How Moberg started: a Zagreb start-up, an Icelandic BNPL client, and the decision to do serious engineering for long horizons.
Two years in: a merger that fixed the focus on Iceland, and a data engineering & science department founded years ahead of the market.
Sales, marketing and risk models live across fintech — and the operating habits that made model number two cheaper than model number one.
Versioned infrastructure, CI/CD on every pipeline, a governed multi-tenant lakehouse: the year transformation became repeatable.
Why a bank bought into its engineering partner, and what changed the day the relationship became structural.
Kick-off to first transaction in seven months; 50M+ transactions in eighteen. What it takes to launch payments infrastructure that fast.
AIOps and AI-driven engineering in production — applying the discipline we sell to the way we ourselves run platforms.
What the Azure Data & AI designation means, how it was earned, and what it changes for clients on the Microsoft stack.
A second platform designation, and the next chapter: governed, conversational access to enterprise data and actions.
Ármann Þorvaldsson's words, unpacked: the projects, the platform and the 40% stake that followed.
How a 40% acquisition turned into the structural backbone of the company.
Designation in the Microsoft AI Cloud Partner Program for sustained data & AI delivery.
Lakehouse architectures, pipelines and AI workloads on the Databricks platform.
Whatever is on your mind — a plan, a question, a challenge — we're happy to think it through with you.
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