Artificial Intelligence consultancy, Scotland
Most firms know they need AI somewhere. Few know where it will actually pay off. We figure that out first, then build it. No pitch decks full of buzzwords. Just working models, tested against your own data, delivered on a fixed timeline.
Talk to our engineers about your data
What we build
Each engagement starts with a two-week audit. We look at your data, your team's capacity, and your actual business problem before proposing any technology.
We build regression and classification models that forecast demand, churn, or equipment failure. Typical accuracy improvements over spreadsheet baselines: 18–35%. Models run on your existing infrastructure; no new cloud subscriptions required.
From ticket classification to contract summarisation, we fine-tune language models on your domain vocabulary. One logistics client cut manual document review time from four hours per day to forty minutes.
Quality inspection, inventory counting, safety monitoring on factory floors. We train detection models with as few as 300 labelled images when transfer learning applies, and deploy to edge devices or standard servers.
A model is useless if the data feeding it is stale or messy. We design ETL pipelines, set up monitoring dashboards, and write the integration code that connects your AI to production systems.
A one-day or two-day session with your leadership team. We map every process, score each one for automation potential, and leave you with a prioritised roadmap. Even if you never hire us again, you walk away knowing exactly where AI fits.
Proof, not promises
Demand forecasting model reduced over-ordering waste by 22% across 1,200 SKUs. The model retrained weekly on fresh sales data and ran inside their existing Azure tenant. Project took nine weeks from kickoff to production.
An NLP pipeline classified incoming correspondence and extracted key dates, parties, and obligations. Staff who previously spent half their morning on email triage now handle the same volume before 10 a.m.
A computer vision system inspected printed labels at line speed, catching misprints that human inspectors missed roughly 6% of the time. Deployed on two NVIDIA Jetson units bolted to the existing conveyor.
How it works
We listen. You describe the problem, the data you have, and the outcome you want. If AI isn't the right tool, we say so.
Our engineers review sample data under NDA, assess quality and volume, and identify gaps. You receive a written feasibility report with honest confidence intervals.
We train a working model on a subset of your data and test it against a holdout set. You see real metrics on real records, not a demo on cherry-picked examples.
The model connects to your production systems. We write monitoring scripts, set alert thresholds, and document everything so your own team can maintain it.
We train your staff, hand over all code and model artefacts, and offer a month of free support. After that, ongoing retainer packages start at 8 hours per month.
Questions we hear often
It depends on the task. For tabular prediction problems, a few thousand labelled rows is often enough. Image classification can work with 300–500 labelled images if we use transfer learning from a pre-trained backbone. During the data audit we give you a concrete minimum, not a vague "more is better."
The data audit is £2,400 fixed fee. Full build projects range from £12,000 to £65,000 depending on scope. We quote fixed price after the audit, not hourly. If the project runs over, that is our problem, not yours.
No. We work on UK-region cloud instances or on-premise hardware. Training runs happen within the jurisdiction you specify. All data handling follows UK GDPR requirements, and we sign a Data Processing Agreement before any data transfer.
Not to get started. We handle the build and deployment. If you want to bring model maintenance in-house later, we provide training sessions and full documentation. Several clients run their models independently within six months of delivery.
We set a target metric during the audit phase. If the prototype does not hit it, we discuss options: more data collection, a different modelling approach, or a partial refund. We have cancelled two projects in five years because the data simply could not support the goal, and refunded the build fee both times.
Get in touch
We respond to enquiries within one working day. If you prefer a call, ring us directly or leave your number in the message and we will phone you back.
11 Henrietta Drive, Newton Bergstrom, Scotland, WG7 4LI, United Kingdom
