Forecasts
Sales, revenue and financial risk read from your history and the factors that actually move them — for budgets and cash, not for a presentation slide.
Who it is for: Directors planning the next year on last year’s guess.
The work
AI & machine learning
We use machine learning where it earns its place: sales and cash forecasts, risk flags, invoice classification, and models that learn your operation rather than a public average.
- 01Predictive models for sales, revenue and risk
- 02Classification and segmentation for CRM
- 03Pattern detection in financial data
- 04Models trained on your own history
Who it is for: Teams who want AI on the ledger, not as a slide in a pitch deck.
Customers, grouped properly
Clients grouped by profit, churn risk or buying pattern, so marketing and pricing follow the people who keep the firm alive.
Who it is for: Firms treating every customer as if they cost the same.
Patterns and exceptions
Transactions, costs and operating numbers watched for what does not belong: fraud, a spike, a leak.
Who it is for: Finance leads who find problems only after the month has closed.
A model trained on you
Invoice coding, demand, or another job specific to this business. The model learns your books, not a public average.
Who it is for: Operations that a generic chatbot has never seen.