We're a young company, and we'd rather be exact about where each capability stands than dress up a prototype as a finished deployment.
An alternative-data credit scoring platform covering both new-applicant underwriting and existing-borrower monitoring, with scores aligned to a regulatory non-performing-asset definition and explainable at the individual-score level.
Built with leakage review, threshold governance and SHAP-based case explanations as first-class parts of the pipeline, not an afterthought.
Churn and renewal-propensity modeling that ranks customers by risk band, so a retention team knows exactly who to reach out to first and why.
Designed to plug into whatever CRM or support tool the retention team already works from.
A ranking engine that scores leads and accounts by propensity to close, feeding the result directly into the CRM a sales team already uses.
Built to replace gut-feel prioritisation with a ranked list the team can act on the same day.
Early-warning models for equipment failure, built directly from vibration, temperature or load sensor data rather than fixed maintenance schedules.
Grounded in the same rare-event modeling approach we use for quality and credit-risk flags.