Most AI projects stall at the proof-of-concept stage. Ours don't. We take your messy spreadsheets, scanned invoices, or sensor logs and turn them into working models you can query from your own systems within two weeks.
Show me a prototype in 5 days
Each project starts with a specific pain point. Here are four we hear most often from operations leads and CTOs.
Insurance claims, supplier invoices, compliance forms. Your team reads them, classifies them, and keys data into another system. Our document-parsing models extract structured fields from PDFs and images in under two seconds per page, with human-review routing for low-confidence items.
Document parsing AIWhen that person is on holiday, nobody trusts the numbers. We train time-series models on your historical sales, weather feeds, and calendar events, then expose a forecast API your ERP can call nightly. The model retrains itself every Sunday at 02:00.
Forecasting engineA classification model reads each incoming ticket, assigns priority (P1 through P4), tags the product area, and routes it to the right team. Average triage time drops from 47 minutes to under 8 seconds. False-routing rate sits below 3% after the first month of feedback loops.
Ticket classificationCamera-based defect detection on the production line flags scratches, dents, and colour mismatches before packaging. We fine-tune a vision model on 500 labelled images from your own line, then deploy it to an edge device bolted next to the conveyor. Inference takes 80 ms per frame.
Visual inspectionNo 18-month roadmap. No committee of consultants. Here is what the first engagement looks like.
We review a sample of your data on a shared screen. If the signal is too weak or the problem is better solved with a rule engine, we say so and save you the budget.
We connect to your source: S3 bucket, database replica, SFTP drop, or a shared folder. Cleaning, deduplication, and schema mapping happen here.
Baseline model first, then iterative tuning. You get a confusion matrix and precision/recall numbers you can share with your own team for validation.
REST API, webhook, or batch job. We deploy to your cloud account so you own the infrastructure. Monitoring dashboards come included.
Every correction your team makes feeds back into the next training cycle. Accuracy climbs month over month without manual intervention.
We track results for 90 days post-launch. These numbers come from client dashboards, not marketing slides.
A logistics firm in Edinburgh used our invoice parser to cut accounts-payable processing from 14 minutes per document to under 4. The model handles 23 supplier formats without template configuration.
Demand forecasting for a food distributor reduced over-ordering waste by 18%. The model ingests weather data from the Met Office API alongside three years of order history.
A SaaS platform with 12,000 monthly support tickets deployed our classifier. Median first-response time dropped from 3 hours 12 minutes to 26 minutes because tickets land with the right team immediately.
It depends on the task. For text classification, 300 labelled examples per category often gives us a usable baseline. Image models typically need 500+ per class. During the scoping call we review what you have and tell you honestly whether it is enough or whether we need to augment.
Your infrastructure, always. We deploy to AWS, GCP, or Azure accounts you control. If you prefer on-premise for compliance reasons, we package the model as a Docker container with a simple REST interface. You keep the weights, the code, and the data.
First projects range from £8,000 to £25,000 depending on data complexity and integration depth. We quote a fixed price after the scoping call, not a day rate. If the prototype fails validation, you pay only for the scoping phase.
Yes. We sign NDAs before seeing any data. For healthcare or financial clients, we work inside your VPN and never copy data to external storage. All training happens on machines within your security perimeter.
We offer a monthly support plan that covers monitoring, retraining triggers, and drift detection. If accuracy drops below your agreed threshold, we retrain automatically. Most clients stay on the plan for the first year, then bring maintenance in-house once their team is comfortable with the tooling.
Describe the problem. We will reply within one working day with an honest assessment of whether AI is the right tool for it.
Visit or post
81 Woodland Close, Nether Hills, Scotland, YA25 5OS, United Kingdom
Call
+44 7881 218175
Email
[email protected]
