Practical AI that fits your business
We build machine learning models, automate repetitive workflows, and turn raw data into decisions you can act on. Based in Wales, working with teams across the UK and beyond.
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We build machine learning models, automate repetitive workflows, and turn raw data into decisions you can act on. Based in Wales, working with teams across the UK and beyond.
Start a conversation
We started AI Optimax because too many AI projects stall between proof-of-concept and production. Our founding team spent years inside large enterprises watching promising models gather dust in notebooks nobody maintained. That experience shaped everything about how we work today.
Every engagement begins with a measurable goal: reduce invoice processing time by 40 percent, flag defective parts before they ship, predict next-quarter churn within a 5 percent margin. If we cannot define the target in numbers, we push back until we can.
Our office sits at 3 Adele Brae, Hansen Green, CQ60 2RN, Wales, United Kingdom, but most of our delivery happens remotely. We pair with your internal developers through shared repositories, weekly demos, and a documentation-first culture that means the knowledge stays with you after we leave.
Each service below maps to a specific business outcome. We scope, build, test, and hand over, with training for your team included in every package.
We train supervised and unsupervised models on your historical data, validate them against hold-out sets, and package them as API endpoints your applications can call. Typical turnaround from kick-off to first production prediction: six to ten weeks.
From ticket classification and sentiment scoring to document summarisation and chatbot design, we handle text at scale. Our NLP pipelines process English, Welsh, and twelve other languages with fine-tuned transformer architectures.
Quality inspection on production lines, medical image annotation, retail shelf analysis: our vision models detect, classify, and segment objects in images and video streams. We optimise for edge deployment when latency matters.
Demand forecasting, churn prediction, dynamic pricing: we connect your transactional databases to time-series and regression models that refresh nightly. Dashboards surface the numbers; alerts fire when thresholds cross.
We connect AI outputs to the tools your team already uses: ERPs, CRMs, email platforms, Slack. Automated pipelines handle document ingestion, data validation, report generation, and exception routing without human bottlenecks.
Not ready for a full build? We run two-day workshops that help leadership teams identify their highest-value AI use cases, estimate costs, and draft a 12-month roadmap. Participants leave with a prioritised backlog, not a vague slide deck.
Each phase ends with a deliverable you can review, test, and approve before we move forward.
We audit your data sources, interview stakeholders, and define success metrics. This phase usually takes one to two weeks and produces a scoping document with cost and timeline estimates.
A working model trained on a sample of your data, tested against baseline performance. You see accuracy, latency, and edge-case behaviour before committing to a full build.
We scale the model, harden the pipeline, write integration code, and deploy to your cloud or on-premise infrastructure. Monitoring and alerting go live on day one.
Documentation, recorded walkthroughs, and live training sessions for your engineers. Optional retainer agreements cover model retraining, drift detection, and feature updates.
It depends on the task. For tabular classification problems, a few thousand labelled rows is often enough to build a useful prototype. Image models may need tens of thousands of examples, though transfer learning from pre-trained networks reduces that number dramatically. During discovery we assess what you have and tell you honestly whether it is sufficient.
A focused single-model engagement (discovery through deployment) ranges from £15,000 to £60,000 depending on data complexity, integration depth, and compliance requirements. Strategy workshops start at £4,000 for a two-day session with up to ten participants. We provide a fixed quote after the discovery phase so there are no surprises.
Yes. We deploy to AWS, Azure, and GCP, and we have experience with on-premise GPU clusters for clients in regulated industries. We match the tooling to whatever your ops team already manages.
All data stays within your infrastructure or a dedicated environment that you control. We sign data processing agreements before any transfer, apply anonymisation where possible, and follow ICO guidance on automated decision-making. Our internal security review runs before every engagement starts.
You own the code, the models, and the documentation. If you want ongoing support we offer monthly retainers that cover model monitoring, retraining on fresh data, and priority bug fixes. Many clients start with a retainer and gradually move maintenance in-house as their team gains confidence.
Describe your challenge in a few sentences and we will reply within one business day with an honest assessment of whether AI is the right fit.
3 Adele Brae, Hansen Green, CQ60 2RN, Wales, United Kingdom