Frequently Asked Questions.
Answered.

The default in insurance is to respond after a loss occurs. Cachet monitors operational data continuously so risk patterns can be spotted and acted on before an incident happens. The intervention point moves earlier. From the claims department to the operational layer. From reactive management to proactive control.

A set of tools within the Cachet Platform that show operators where their risk exposure is coming from: driver behaviour, usage patterns, claims trends. The purpose is to make clear where action will have the most impact, before losses accumulate.

Data from platform activity and claims history feeds into risk models. This covers driving hours, shift patterns, on-road behaviour, vehicle type, and location context. From that, individual Cachet Scores are generated for drivers and assets. Insurers get a more accurate pricing signal. Operators get a clearer picture of where risk is sitting across their operation.

A risk score for individual drivers, workers, or assets. Built from behaviour, usage patterns, and claims history. Updated continuously as new data comes in. Insurers use it to price more accurately. Operators use it to identify which drivers or assets need attention before a claim occurs.

It monitors operational data continuously, flagging patterns associated with higher claim likelihood. When a risk threshold is crossed, the relevant operator is alerted. Action can be taken before an incident occurs rather than after. Over time the models improve as more data comes in.