Solutions

Concrete ways your data can start paying rent instead of sitting in folders.

Use your subscription, billing and support data to find who is at high risk of leaving, and what actions reduce that risk.

Typical inputs: CRM exports, subscription data, support logs.

Turn your historical sales, promotions and seasonality into forecasts that help you stock smarter and plan campaigns.

Typical inputs: POS data, marketing campaigns, pricing.

Analyse delays, bottlenecks and throughput across your operations to understand where time and money are being lost.

Typical inputs: ticket logs, warehouse / logistics data.

Use ML to highlight unusual behaviour in transactions or events that may indicate fraud, misuse or system issues.

Typical inputs: transaction logs, user activity, audits.

If your problem is niche or messy, we work with you to define realistic questions and build a one-off or iterative analysis.

Start with a short call and a small test dataset.