Machine learning for one specific job
Sorting documents, spotting patterns in your data, or answering routine questions. We start with the problem, then choose a model that is accurate enough to trust.
Narrow, measurable jobs done well.
The useful cases are narrow and measurable: sorting incoming requests, flagging unusual records, or drafting a first answer for a person to check.
Sort documents and requests by themselves
Invoices, complaints, leave requests and purchase orders are read and filed into the right place. Anything the model is unsure about goes to a person.
- Classifies emails, PDFs and tickets
- Pulls out names, dates and amounts
- Summaries and first-draft replies
- Low-confidence items go to a person
See next week’s demand before it arrives
Forecasts built from your own sales history, so you can plan stock, staff and cash with a sensible range instead of a guess.
- Sales and demand forecasts
- Stock and reorder planning
- A range you can plan around, not one number
- Shown inside the software you already use
Answer the routine questions, hand over the rest
An assistant that answers the questions your team hears every day from your own documents, and passes anything sensitive to a person.
- Answers from your own policies and FAQs
- On your website, app or WhatsApp
- Hands refunds and complaints to your team
- Every conversation can be reviewed
Read text from photos and scans
Bills, receipts and forms photographed on a phone are read and typed into your system, ready for someone to confirm.
- Reading text from photos and scans
- Checking product images
- Spotting visible defects
- Fields filled in, a person confirms
Suggest what customers are likely to want
Personal suggestions based on what people actually order together, shown at the moment they are deciding.
- “Goes well with” suggestions
- Based on real order history
- A reason shown with each suggestion
- Easy to switch off or adjust
Flag the payment that does not look right
Records that are far outside the usual pattern are flagged and held for someone to check, instead of being found at month end.
- Unusual payments and refunds
- Stock that moves in odd ways
- Duplicate or suspicious entries
- A manager decides, not the model
What is machine learning for a business?
Three things worth knowing before you start, in plain words.
Software that learns a task from examples
Machine learning is software that improves a specific task by studying examples, instead of following only hand-written rules. A model studies past documents, photos or customer records, then helps with a repeatable decision.
- Sorting incoming requests
- Flagging unusual records
- Drafting a first answer for a person to check
From your data to a model you can trust
in 5 stages
Scroll down and follow one project, from the first look at your data to a model that is watched and retrained after launch.
Data discovery
We identify your data sources, understand the problem and agree what the model must achieve to be worth using.
- One specific job, defined in writing
- What data exists, and what is missing
Data engineering
We collect, clean and transform the data into a structured form, because messy records make an unreliable model.
- One format for dates, names and units
- Gaps filled or clearly marked
Model development
We design, train and tune the model with standard tools, choosing the simplest one that is accurate enough.
- Python, Scikit-learn, PyTorch or TensorFlow
- Hosted AI APIs where they fit better
Validation & testing
We test the model on your own real examples and show you where it is right, where it is weak, and what we do about it.
- A plain test report
- Rules for the cases it gets wrong
Deployment & monitoring
We put the model into the software you already use, watch how it performs and retrain it when your data changes.
- Live accuracy monitoring
- Retraining on fresh examples
Six ways we put ML to work
Each one starts from a specific problem in your business. Open one to see what it covers.
Predictive analytics
Forecast customer behaviour, sales trends or demand using your historical data.
Fraud & risk detection
Find records that do not fit the usual pattern, using real-time data.
Natural language processing
Chat assistants, summaries, sorting, sentiment and translation for the text your business handles.
Computer vision
Reading text from photos, checking product images and spotting defects.
Recommendation systems
Product or content suggestions based on how your customers actually behave.
Intelligent automation
Repetitive tasks handled by machine-learning workflows inside the software you already use.
Less repetition, more control
The same way every time
Repetitive work handled consistently, without tired-afternoon mistakes.
Faster sorting
Documents, tickets and records reach the right place sooner.
Fewer manual checks
People check the unusual cases instead of every single record.
Tested before it goes live
Measured on your own real examples, with the weak spots written down.
Inside your software
Results appear in the tools your team already uses, not a separate demo.
You stay in control
A person reviews what matters, and every decision can be checked later.
Current, well-supported tools
We choose the simplest tool that does the job well, and build it into the software your team already uses.
Where would you like to start?
Try one job first, add AI to software you already use, or just talk it through.
Start with one problem
Prove it works on your data before going further.
- One specific job, agreed in writing
- A look at the data you already have
- A model tested on your own examples
- A plain report: where it works and where it does not
- A clear go / no-go decision
Add AI to what you use
For businesses with software and data already in place.
- Connected to your current systems
- Results shown where your team works
- Review queue for unsure cases
- Monitoring after launch
- Retraining when your data changes
A consultation, at no charge.
- Tell us the problem in your own words
- Hear whether ML is the right tool
- Or whether a simple rule is enough
- No obligation to go ahead
Questions we hear a lot
Have a job you wish ran by itself?
Tell us what you want to build. We will reply with a practical plan, a realistic timeline, and a price you can understand.