We let the numbers do the talking. Here's what happens when mid-market Irish businesses get serious about their data.
Case studies
Every number here comes from an actual client engagement. Not projections. Not estimates.
A growing Irish logistics company had invested in a data platform two years earlier. What started as a promising move had become a liability. Costs were climbing 20% per quarter with no visibility into why. The entire architecture was held together by one engineer. When pipelines broke, board reports were delayed. The CFO couldn't justify the spend.
We started with a 5-day AI Readiness Sprint. By Day 4, we'd identified over EUR 50,000 in annual compute waste from poorly configured clusters and redundant jobs. By Day 5, the team had a prioritised roadmap covering architecture, cost optimisation, and team upskilling.
"For the first time, I could explain our data strategy to the board with confidence."
A national retail group with over 500 locations was running on 12 different data systems. Monthly reporting took two weeks of manual consolidation. Store performance data was always 3 weeks out of date. The board had been asking for real-time insights for over a year.
Rather than a big-bang migration, we started with one use case: store performance reporting. We built a unified data layer that pulled from their top 4 systems, delivered a live dashboard, and trained the team to maintain it.
"We'd been trying to solve this for three years. Layke did it in three months."
A fast-growing AI company was processing increasingly large datasets. Their initial data setup, built by the founding engineers, was already creaking at 10GB. With Series A funding secured and aggressive growth targets, they needed architecture that wouldn't need rebuilding every six months.
We designed a scalable data architecture from day one. Modular, cost-efficient, and built to handle 100x their current volume. The engineering team was involved throughout, so they owned it from day one.
"They built us something that just works. We haven't had to think about data infrastructure since."
What people say
From engineering leads to the C-suite. Here's what they say after working with us.
"They didn't just audit our platform. They helped us understand it. For the first time, our data team and our finance team are speaking the same language."
"I needed to justify our data spend to the board. Layke gave me the numbers and the narrative. The sprint paid for itself within two months."
"Most consultancies hand you a PDF and disappear. Layke stayed until our team could run it themselves. That's rare, and it's why we'd recommend them to anyone."