We build machine learning models, automate repetitive workflows and extract real value from your data. Based in Galway, working with companies across Ireland and Europe.
We started AI Clarity Quest in 2019 because too many AI projects were failing. Companies spent months on proof-of-concept models that never reached production. We wanted to change that.
Our team of twelve includes machine learning engineers, data architects and domain specialists who have shipped models for logistics companies, healthcare providers and fintech startups. Every project begins with a question: what decision will this model improve? If we cannot answer that clearly, we go back to the whiteboard.
Galway gives us access to strong engineering talent from the university and a growing tech community. We like it here. Our clients span Dublin, London, Amsterdam and beyond, but our roots stay on the west coast.
Six core capabilities, each refined through dozens of real-world deployments. We scope, build, validate and maintain.
We train regression and classification models on your historical data to forecast demand, churn, equipment failure or credit risk. Most clients see a usable prototype within four weeks and a production model inside three months.
From document classification and entity extraction to customer-support chatbots, we fine-tune large language models on your specific vocabulary. One insurance client reduced manual claims triage time by 62% in the first quarter.
Object detection, image segmentation, quality inspection on manufacturing lines. We work with standard cameras and edge devices so you do not need expensive hardware upgrades. Typical accuracy targets sit above 95%.
We connect AI models to your existing ERP, CRM or warehouse management system through APIs and workflow engines. The goal is zero manual handoff between a model prediction and the action it triggers.
Bad data kills good models. We audit your pipelines, consolidate fragmented sources and build clean, version-controlled data lakes. Two clients discovered that fixing their data pipeline alone improved existing model accuracy by over 20 points.
Not sure where to start? We run a two-week discovery sprint: we map your operations, identify the three to five highest-value AI opportunities and estimate ROI for each. You get a prioritised roadmap, not a 200-page report.
Plenty of consultancies talk about AI. Here is what makes our approach different.
We measure success by models running in production, not by impressive demo notebooks. Every engagement includes a deployment plan from day one, with monitoring and retraining schedules baked in.
You will not be passed to junior analysts after the sales call. Our engineers average nine years of experience and each one has shipped at least five production ML systems.
Fixed-price sprints or monthly retainers. We quote after discovery, never before, because guessing a price before understanding the data leads to scope creep and frustration on both sides.
We operate under GDPR and follow ISO 27001 practices. Client data stays on EU-based infrastructure. We can work with anonymised or synthetic datasets when regulations require it.
Real feedback from teams we have worked with over the past three years.
"They built a demand forecasting model for our 12 warehouses in under eight weeks. Stock-outs dropped 41% in the first quarter after go-live. The model retrains itself weekly with minimal oversight from our side."
"We had tried two other vendors before. Both delivered Jupyter notebooks and left. AI Clarity Quest delivered a containerised API, monitoring dashboards and a runbook. Night and day difference."
"Their NLP pipeline processes 3,000 patient referral letters a day for us. Extraction accuracy sits at 97.2% and the system flags edge cases for human review. It saved our admin team roughly 14 hours per week."
Tell us about your project or ask a question. We respond within one business day.
Whether you have a specific model in mind or just want to explore what AI could do for your operations, drop us a line. We are happy to do a free 30-minute scoping call.