Futuristic cyberpunk cityscape with neon lights

Artificial intelligence that works for your business

We build, train, and deploy AI systems that solve real problems. From predictive models to language processing pipelines, our team in Limerick delivers measurable results.

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Who we are

A small team with deep technical roots, based in Limerick since 2019.

We started Premium AI Offerings because too many businesses were paying for AI projects that never shipped. Our founders spent years inside research labs and enterprise software companies before deciding to do things differently. We keep teams lean, scope tight, and timelines honest.

Every engagement begins with a data audit. We look at what you actually have, not what a slide deck promises. If your data isn't ready, we say so, and we help you fix it before burning budget on model training. That honesty has kept clients coming back for five years running.

Our office sits in the heart of Limerick, close to the University of Limerick talent pool and the growing tech corridor along the Shannon. We hire locally, collaborate with research groups at UL and LIT, and contribute to open-source ML libraries whenever we can.

We work across healthcare, fintech, logistics, and retail. Each vertical has its own quirks. Medical imaging classification demands different validation than fraud-detection scoring, and we bring domain-specific experience to each project rather than applying a one-size-fits-all playbook.

Our AI engineering team at work in our Limerick office
127
Projects delivered
94%
Client retention rate
6
Years in operation
18
Engineers on staff

What we build

Six core capabilities, each backed by production-tested infrastructure.

Machine learning models

We design supervised and unsupervised models for classification, regression, and clustering. Our standard delivery includes a trained model, an API wrapper, monitoring dashboards, and a retraining schedule documented in plain English.

Natural language processing

Sentiment analysis, entity extraction, document summarisation, and chatbot development. We fine-tune transformer architectures on your domain corpus so the system understands your terminology from day one.

Computer vision

Object detection, image segmentation, and video analytics. We have deployed defect-detection systems on factory lines that reduced manual inspection time by 73% for a Cork-based manufacturer.

Predictive analytics

Demand forecasting, churn prediction, and risk scoring. We connect directly to your data warehouse, build feature stores, and deliver predictions via REST endpoints or batch CSV exports, whichever fits your workflow.

AI strategy consulting

Not every problem needs a neural network. We run two-week discovery sprints to map your data landscape, identify the highest-ROI use cases, and produce a costed roadmap with realistic timelines. Some clients save more by learning what not to build.

MLOps and infrastructure

Model deployment, CI/CD for ML pipelines, GPU cluster management, and drift monitoring. We set up your infrastructure on AWS, Azure, or on-prem Kubernetes so your data science team can ship models without waiting on DevOps tickets.

How we work

Four phases, clear milestones, no surprises on the invoice.

Discovery

We spend one to two weeks interviewing stakeholders, auditing data sources, and defining success metrics. You get a written brief with scope, cost estimate, and risk assessment before any code is written.

Prototyping

A working proof of concept in three to six weeks. We use real data, not synthetic samples, so the prototype performance is a genuine preview of production accuracy.

Production build

Hardened code, automated tests, containerised deployment, and documentation. We hand over a system your own engineers can maintain, not a black box that only we can operate.

Support and iteration

Monthly model performance reviews, retraining when data drifts, and on-call support with a four-hour response SLA. We treat launched models like living systems because that is exactly what they are.

Frequently asked questions

Honest answers to the things clients ask before signing.

Discovery sprints start at €8,000. A full ML pipeline from prototype to production typically falls between €30,000 and €120,000 depending on data complexity and integration requirements. We quote fixed prices after discovery, so there are no hourly-rate surprises.
Yes, model training requires access to your data. We sign NDAs and data processing agreements before any transfer. For clients in regulated industries, we can work entirely within your VPC or on-premises environment so data never leaves your network.
That is more common than you might think. We offer data engineering services to clean, normalise, and enrich datasets before modelling begins. Sometimes this phase alone delivers value by revealing patterns in your existing records that were hidden by inconsistent formatting.
Most clients have a working prototype within six weeks of kickoff. Production deployment adds another four to eight weeks depending on integration complexity. We ship incrementally, so you see progress at every sprint review rather than waiting for a big reveal at the end.
We have deployed models into Python, Java, .NET, and Node.js environments. Our APIs are stack-agnostic, and we provide SDKs and integration guides tailored to your platform. If you run on a legacy system, we have experience wrapping models behind REST interfaces that older applications can call without refactoring.

Get in touch

Tell us about your project and we will reply within one business day.

47 Barrington Street, Limerick, V94 H2X8, Munster, Ireland

Our office in Limerick at night