Applied AI
AI that does one specific job inside your system, rather than a demo.
Document reading, data extraction, prediction and language features, built into the software you already run. We have shipped OCR, data-management and visualisation systems; the free consultation gives you a straight answer on whether AI belongs in yours.
- 5OCR, data and visualisation systems
- 35systems delivered in total
- 18sectors
- 12years building
What you get
Less repetitive work, patterns you can act on, and a product that adapts to its user.
Three things applied AI can do for an organisation, and the condition attached to each.
Repetitive work handled by software, reviewed by your people.
Classification, extraction and routing tasks automated, with a human check kept wherever a wrong answer would be expensive.
Patterns in your data you can act on.
Models trained on your own records to forecast demand, flag anomalies or surface trends. We measure the accuracy and report it to you, so you are never asked to take it on faith.
Search, recommendations and interfaces that adapt to the user.
Smarter search, personalised content and assistants inside your existing product, with the plain version kept as a fallback.
Services
Four kinds of AI work, each delivered so your team can keep it running.
Models come with their training pipeline; integrations come with documented data handling. Nothing you receive needs us in order to keep running.
Machine learning models
Custom models trained on your data for prediction and automation, delivered with the training pipeline so your team can retrain them as the data changes.
Natural language processing
Text analysis, sentiment detection and conversational interfaces over your documents and support channels.
Computer vision
Image recognition, object detection and visual inspection. Our OCR library API already reads text out of images for other systems.
AI integration
Existing models and third-party AI APIs wired into the applications you already run, with the data flows documented and access under your control.
Use cases
Where it pays off, and where we will tell you it does not.
Six problems AI is good at. If a rules-based system or a spreadsheet would do the job, the consultation will say so.
Predictive analytics
Forecast demand, behaviour and outcomes from your historical data.
Chatbots and assistants
Answer routine questions at any hour with context-aware responses, and hand off to a person when the question is not routine.
Document processing
Extract and classify data from forms, invoices and scanned documents. This is the OCR work we have already shipped.
Recommendation systems
Personalised content and product suggestions inside your own platform.
Visual quality inspection
Defect detection from camera images on a production line.
Fraud and anomaly detection
Flag suspicious transactions or records as they happen, for a person to review.
Work in this area
Where we have already done this.
5 of our 35 delivered systems involve OCR, data management or visualisation: the groundwork applied AI is built on. They come from four sectors; the full list is on the work page.
All 35 systems
How we work
Five stages. You receive something you own at each.
- 01Insight
A written scope and the findings behind it.
- 02Strategy
The specification and architecture, with a fixed price for phase one.
- 03Build
Working software every sprint, in your own repository.
- 04Launch
The production release and the tests that verify it.
- 05Support
Documentation, a warranty, and named response times if you want them.
Start with a free consultation on your system.
Bring the process you want automated, or the data you suspect has something in it. We spend a working session on it and you leave with written findings, including a plain answer on whether AI is the right tool.