We build predictive models, automated data pipelines, and decision-support tools for companies that have real data but no data science team. Based in Manchester, working across the UK and Europe.
Talk to our analysts about your data
Common problems
You probably have more data than you think. The bottleneck is rarely the data itself. Here are the patterns we see when new clients reach out.
Sales forecasts, stock levels, churn estimates: your team makes these calls manually. The spreadsheet is three years old. Nobody trusts the numbers, so nobody uses them. We replace that spreadsheet with a model trained on your own transaction history, refreshed weekly.
Someone on your operations team copies invoice data from PDFs into your ERP every morning. It takes two hours and the error rate hovers around 4%. Our document-extraction pipeline reads those PDFs, validates the fields, and pushes clean records straight into your system in under a minute.
A previous vendor built a prototype, presented a slide deck, then disappeared. The model drifted within six months. We include twelve months of monitoring and retraining in every engagement, with clear handover documentation if you later hire internally.
You want evidence that a project will pay for itself before signing a large contract. Our diagnostic phase lasts two weeks and costs a fixed fee. At the end you receive a written feasibility report with projected savings, so you can decide with numbers in front of you.
Methodology
Every project follows this structure. Timelines vary, but the sequence doesn't.
We audit your existing data sources, interview the people who actually use them, and map the gap between what you have and what a model would need. The output is a feasibility document with cost estimates and expected accuracy ranges.
Using a representative sample of your data, we build a working model and a lightweight interface your team can test. This is not a demo on synthetic data; it runs on your records, behind your firewall if required.
The validated model moves into your live environment. We handle integration with your existing databases, APIs, or cloud services. Monitoring dashboards go live at the same time, so you can see accuracy and latency from day one.
Data changes. Customer behaviour shifts. Seasonal patterns appear. We retrain models on a schedule agreed during the diagnostic, and alert you if performance drops below the threshold we set together. After twelve months, you can renew, bring the work in-house, or walk away with full documentation.
Outcomes
Aggregated across 23 engagements delivered between 2022 and 2025.
Capabilities
Time-series models trained on your sales, weather, promotional calendars, and supplier lead times. Output plugs directly into your inventory or procurement system. Typical accuracy improvement over Excel-based forecasts: 18–25 percentage points.
Invoices, purchase orders, delivery notes, insurance claims. We combine OCR with a fine-tuned language model to read structured and semi-structured documents, validate extracted fields against your master data, and push clean records into your ERP or data warehouse.
A classification model that scores each active customer on their likelihood of leaving within the next 90 days. Scores refresh daily. Your account managers receive a prioritised list every Monday morning with the top 20 accounts to contact.
Your policies, procedures, and technical manuals indexed and searchable through a conversational interface. Staff type a question in plain English and get a sourced answer with a link to the original document. Runs on-premise or in your private cloud tenant.
Questions
Reach us
Describe what you are trying to predict, automate, or extract. We will reply within one working day with an honest assessment of whether we can help.
21 Jordan Yard, Manchester M1 5AN, Greater Manchester, United Kingdom
We are based in Manchester city centre, a short walk from Piccadilly station. If you prefer a face-to-face conversation before committing, we are happy to meet at our office or yours.
