We turn the data you already have into forecasts you can plan around: demand and sales prediction, churn and risk scoring, customer segmentation and anomaly detection, delivered as an API your product can call rather than a slide deck.
Machine Learning Services We Offer
Models trained on your own history, measured against a baseline you agreed first.
Demand & Sales Forecasting
Know what next quarter looks like before you commit to the stock, the staff or the spend.
- Seasonality and trend modelling
- Stock and staffing forecasts
- Scenario comparison for planning
Churn & Retention Scoring
See which customers are about to leave while there is still time to do something about it.
- At risk customer scoring
- The reasons behind each score
- Trigger lists pushed to your CRM
Customer Segmentation
Segments built from actual behaviour rather than the assumptions your marketing plan inherited years ago.
- Behaviour based segmentation
- Lifetime value modelling
- Campaign lists per segment
Fraud & Anomaly Detection
Catch the transactions and events that do not fit the pattern, and put them in front of a human to judge.
- Unusual transaction flagging
- Rules combined with model scoring
- Review queue for your team
Data Pipelines & Feature Engineering
Most of the work in a model is the data before it. We build the cleaning and joining that makes it possible.
- Cleaning and joining your sources
- Feature stores and versioning
- Scheduled retraining pipelines
Model Deployment & Monitoring
A model in a notebook helps nobody. We serve it behind an API and watch it after launch.
- Models served behind an API
- Drift and accuracy monitoring
- Retraining when performance slips
Our Machine Learning Process
An honest answer on feasibility first, before anyone budgets for a model.
Assess The Data
We look at what you collect, how clean it is, and whether the question you are asking is answerable at all.
Build & Train
A simple baseline first, then better models, each measured against the target you agreed up front.
Deploy
The model goes behind an API your product calls, with versioning and a rollback that actually works.
Monitor & Retrain
Accuracy is tracked over time and the model is retrained as your data and your market shift.
ML Technologies We Work With
Standard, well supported tooling, so your model is not trapped in something exotic.
- Python
- TensorFlow
- PyTorch
- scikit-learn
- Pandas
- XGBoost
- MLflow
- Jupyter
- FastAPI
- PostgreSQL
- AWS & Azure ML
- Docker
What You Get
How we keep a machine learning project from becoming an expensive experiment.
Forecasts You Can Plan Around
Predictions with a stated accuracy and a confidence range, so you know how much weight to put on them.
Built On Your Own Data
Models trained on your history and your customers, not a generic benchmark from another industry.
Reasons, Not Just Scores
Each prediction comes with the factors that drove it, so your team can act on it rather than trust it.
Measured Against A Baseline
We prove the model beats the simple approach before recommending you pay to run it every day.
Served As An API
Delivered as something your product can call in production, not a notebook that only runs on one laptop.
Watched After Launch
Drift monitoring and scheduled retraining, because a model that was accurate last year may not be now.
What would you do with three months' notice?
Tell us what you would like to see coming: demand, churn, cash or risk. We will tell you whether your data can support it before you spend anything.
Get in touch
We are here to help you with your queries.