Predictive and ML Models
Predictive & ML Models
Stop reacting to last month's numbers. Predict next month's.
We build forecasting, recommendation, scoring, and anomaly-detection models on your own historical data — validated against real outcomes, deployed behind an API your product can call, and monitored so accuracy doesn't quietly decay.
Sales & Marketing
Score leads by conversion likelihood, forecast the quarter from pipeline behaviour, and predict which accounts are drifting before renewal.
Supply Chain
Demand forecasts at SKU and location level, lead-time prediction, and reorder points that respond to actual volatility instead of a fixed buffer.
Finance & Risk
Credit and underwriting scores, cash-flow projection, fraud and duplicate-payment detection, and early warning on receivables.
Manufacturing
Failure prediction from sensor telemetry, defect classification from line imagery, yield forecasting, and downtime risk by shift.
Retail & E-commerce
Personalized product ranking, price elasticity modelling, basket and lifetime-value prediction, and return-risk scoring at checkout.
People & Operations
Attrition risk by team, staffing and shift demand forecasting, ticket-volume prediction, and SLA breach warnings before they happen.
From question to model in production
Five stages, each ending in something you can review — starting with an honest read on whether the data supports the question.
Feasibility
We inspect your data, define the target variable, and say plainly whether it's predictable.
Baseline
A simple model first, so every later gain is measured against something real.
Modelling
Feature work and several model families, compared on the same held-out period.
Validation
Backtesting, error analysis, and a business-metric read before anything ships.