Solutions
We partner with teams to turn classification research into systems they can rely on — starting small, measuring honestly, and building only what proves its value.
Engagements
A focused engagement to understand your data and the decision it should support, and to show what a model can realistically deliver — before you commit to building one.
Models designed around your problem, your constraints and your definition of success, with evaluation that reflects how the model will actually be used.
From notebook to production: we help put models where decisions are made, with the monitoring needed to keep them trustworthy over time.
Process
Each stage ends with a clear result and a decision point, so you never commit further than the evidence supports.
Your decision, your data, and what a good outcome looks like.
A working model on your data, measured against a simple baseline.
Rigorous testing for accuracy, robustness and fairness.
Integration into your workflow, with monitoring and handover.
Industries
Credit risk, fraud and anomaly detection, transaction categorisation.
Triage and risk stratification, cohort selection, lab and assay data.
Quality control, defect classification, predictive maintenance signals.
Churn prediction, lead and opportunity scoring, segmentation.
Exception detection, demand classes, supplier and shipment risk.
Routing and categorising records, forms and structured submissions.
FAQ
Structured, tabular data — the rows and columns in databases, spreadsheets, logs and forms. Mixed numeric and categorical fields, missing values and imbalanced classes are normal and expected.
Often less than people expect. Many useful classifiers are built from hundreds or a few thousand labelled examples. An assessment will tell you whether your data is enough, and what would improve it.
Data handling is agreed in writing before any data is shared — where it is stored, who can access it, and how it is returned or deleted. Please do not send datasets before that agreement is in place.
Ownership of models, code and results is set out in the engagement agreement. Our default is that you own what is built for you.
Yes. We integrate with the systems you already run and aim to hand over work your team can maintain.
Tell us about your data and the decision you need to make.