Service
Data Science & Machine Learning
Most businesses already hold the data that answers their hardest questions. We turn it into models your team can act on: a weekly list of customers likely to leave, a demand forecast your buyers trust, a risk score attached to every application.
Sound familiar?
- You find out a customer has left only after they cancel.
- Stock-outs and overstock eat margin because forecasts live in spreadsheets.
- Marketing treats every customer the same because nobody has segmented them properly.
- Fraud or bad debt is caught by hand, late and inconsistently.
What we build
Data Science & Machine Learning services
Predictive analytics
Models that estimate an outcome before it happens, from conversion to late payment.
Customer churn prediction
A ranked list of at-risk customers with the reasons, refreshed on a schedule.
Customer segmentation
Groups built from real behaviour, so offers and messages fit each group.
Forecasting
Demand, revenue and capacity forecasts with honest uncertainty ranges.
Fraud detection and risk scoring
Scores that flag unusual transactions or risky applications for review.
Recommendation systems
Product and content recommendations from purchase and browsing history.
Classification and regression
Custom models for any yes/no or how-much question your business asks often.
Decision intelligence
Turning model outputs into rules, alerts and dashboards people actually use.
What you get
Deliverables
- A model trained and tested on your data
- A written evaluation in plain language
- Scores delivered where your team works (dashboard, CRM, spreadsheet or API)
- Code and documentation you own
Technology
Tools we use
Chosen for your situation, not by habit.
Pythonscikit-learnXGBoostPyTorchSQLMLflowAWS / Azure / GCP
Solutions
Specific problems we solve
Predictive analytics: know what's likely to happen, and act first
Your historical data already shows patterns: which customers drift away, when demand peaks, which accounts pay late. Predictive analytics turns those patterns i…
Read more →Customer segmentation built from what customers actually do
Age and location say little about what a customer will buy next. Behaviour does. We group customers by how they buy, use and engage, then make those groups usab…
Read more →Machine learning development, from first model to production
A model is only useful once it runs reliably on new data. We build machine learning models end to end: data preparation, training, honest evaluation, deployment…
Read more →Data science consulting that ends in a working result
Many consulting projects end in a slide deck. Ours end in something your team uses: a model, a forecast, a dashboard or an automation, with a clear owner and a …
Read more →Have a problem your data could solve?
Tell us about it. A free 30-minute consultation, an honest view of what's possible, and no obligation.