Data pipelines, analytics and cloud infrastructure engineered so the rest of your software — and your AI — has clean inputs, observable systems and a platform that scales without surprises.
You can't build reliable software — or trustworthy AI — on messy data and fragile infrastructure.
Numbers scattered across tools that never reconcile, so reporting is manual, slow and rarely trusted.
Different teams quoting different figures because there's no clean, central data layer.
Manual deployments, no monitoring and outages you only learn about from customers.
A bill that climbs every month with no clear link to usage and no one accountable for it.
We make data flow cleanly and infrastructure run predictably — the groundwork that makes AI and software dependable.
Reliable ETL/ELT that consolidates your data into a clean, queryable single source of truth.
Dashboards and reporting that turn that data into decisions people actually trust.
Infrastructure as code, CI/CD and monitoring so deployments are safe and systems observable.
Practices that keep data trustworthy and infrastructure boring — in the best way.
Scheduled, monitored data flows with validation and alerting, so bad data is caught before it spreads.
Centralised logging, metrics and alerting across services so issues surface early.
Reproducible, version-controlled infrastructure with Terraform — no fragile manual setup.
Architectures that keep regulated data in EU regions, GDPR-aligned by design.
Right-sizing, autoscaling and usage visibility to keep cloud spend predictable.
CI/CD with automated tests, staged releases and tested rollback so shipping is low-risk.
Structured, sprint-based delivery with visibility at every stage — and your existing systems protected throughout.
We map your goals, systems, data and constraints, then produce a written scope with timeline and fixed-price proposal before any build.
A solution architecture mapped to your environment, with a phased delivery roadmap agreed up front.
Working software reviewed every two weeks. Continuous progress you can see and steer.
Functional, performance and security testing plus user acceptance in a production-mirroring sandbox.
Phased go-live with monitoring from day one, training, documentation and ongoing optimisation.
Cloud-agnostic where it helps, opinionated where it counts.
Recurring data and cloud engagements.
Consolidating scattered data into one warehouse with dashboards leadership actually trusts.
Moving on-prem or legacy systems to the cloud with infrastructure as code and monitoring.
Preparing clean, structured data layers that AI integrations and RAG systems can build on.
Stabilising flaky infrastructure and bringing runaway cloud bills back under control.
Engineering depth, API-first thinking and GDPR-aligned delivery — focused on systems that last.
We connect the whole stack. Data and cloud aren't a silo for us — they're the foundation our AI and software work depends on.
GDPR & residency first. We design for EU data residency and compliance from the architecture stage.
Everything as code. Reproducible infrastructure and pipelines — no undocumented, hand-configured servers.
Cost-aware engineering. We treat your cloud bill as a design constraint, not someone else's problem.
We work across Azure, AWS and GCP. For Irish enterprises we often recommend Azure for its EU data-residency options and Microsoft ecosystem fit — but we choose based on your existing systems, compliance needs and budget.
Yes — that's a common starting point. We assess your sources, build reliable pipelines into a clean warehouse, and add validation so quality improves over time rather than degrading.
Often, yes. AI is only as good as its inputs. A clean, well-structured data layer dramatically improves the accuracy and reliability of AI integrations and RAG systems.
Usually. We audit usage, right-size resources, introduce autoscaling and add cost visibility. Many clients see meaningful monthly savings after optimisation.
Yes — we provide monitoring, maintenance and on-call support on retainer, or set your team up to run the platform with documentation and training.
Tell us about your systems and reporting pain. We'll map a path to clean data and reliable infrastructure.