AI software that turns chaotic data into clear answers
We build prediction models, document parsers and automation pipelines for mid-size businesses across England. You bring the spreadsheet nightmares; we bring the algorithms.
Send us your messiest data problemThe problems we actually solve
Most AI pitches start with the technology. We start with the pain. Here are four situations where our AI software replaces weeks of manual work with minutes of computation.
Your team re-keys data from PDFs into spreadsheets
Invoices, purchase orders, delivery notes: someone on your team copies numbers by hand from scanned documents. Our document parser extracts fields, validates them against your schema and pushes clean rows straight into your accounting system. One logistics client cut their data-entry hours from 40 per week to under 3.
You only notice customer churn after it happens
A churn-prediction model trained on your own transaction history can flag at-risk accounts 6 to 8 weeks before they leave. We build that model, connect it to your CRM and set up weekly alert emails so your retention team acts while there is still time.
Pricing decisions rely on gut feeling
If your margin calculations happen in a spreadsheet that one person understands, you have a single point of failure and a slow feedback loop. We replace that with a demand-forecasting model that recalculates optimal prices every night, factoring in competitor data, seasonality and stock levels.
Support tickets pile up with no triage
A classification model reads incoming tickets, assigns priority, routes them to the right team and suggests a draft reply. Average first-response time for one e-commerce client dropped from 14 hours to 22 minutes after deployment.
What we build
Every engagement produces a working system, not a slide deck. Here is the range of AI software we deliver.
Predictive analytics
Churn scoring, demand forecasting, lead conversion probability. We train models on your historical data and expose predictions through a REST API or a simple dashboard.
Document intelligence
We parse invoices, contracts, medical forms and shipping labels. OCR plus a fine-tuned extraction model returns structured JSON you can push into any database or ERP.
Computer vision
Quality inspection on production lines, shelf-stock monitoring in retail, damage detection for insurance claims. We train object-detection and segmentation models on your own image sets.
System integration
A model sitting in a notebook helps nobody. We connect our AI software to Salesforce, SAP, Xero, Shopify or your own internal tools via APIs and scheduled jobs.
Automation pipelines
Scheduled ingestion, transformation, model inference and output delivery. We build pipelines that run nightly or in real time, depending on your latency needs.
Model retraining and monitoring
Data drifts. We set up monitoring dashboards that track accuracy over time and trigger retraining runs when performance drops below a threshold you define.
A small team, on purpose
We are seven engineers and data scientists based in England. No project managers relaying messages between you and the person writing the code. When you call, you talk to the person training the model.
Every client gets a shared Slack or Teams channel with direct access to the engineer assigned to their project. Weekly 30-minute check-ins keep scope honest. We have turned down work that needed a 50-person team because pretending otherwise wastes everyone's time.
From first call to production in five steps
We do not sell annual licences for software you might use. Each project has a fixed scope, a fixed price and a defined finish line.
1. Discovery call (30 min, free)
You describe the problem. We ask about data sources, volume and existing systems. By the end of the call we can tell you whether AI is the right tool or whether a simpler approach would work better. Honest assessment saves months.
2. Data audit (1–2 weeks)
We connect to your data, profile it for quality issues and produce a short written report: what is usable, what needs cleaning, what is missing. This report is yours to keep regardless of whether you proceed with us.
3. Prototype model (2–4 weeks)
We train a first model and share accuracy metrics in plain language. You see real predictions on real records and decide whether the numbers justify a production build.
4. Production build (3–6 weeks)
The model gets packaged into an API or batch pipeline, connected to your systems and deployed on infrastructure you control. We write documentation your own developers can follow.
5. Handover and optional support
You own the code and the model weights. If you want ongoing monitoring and retraining, we offer a monthly retainer. If you want to run it yourself, we make sure your team is ready before we step back.
Things clients ask before signing
Send us your messiest data problem
Describe what you are dealing with. We will reply within one working day with an honest assessment of whether AI software is the right fit.
