A new fleet insurance proposition using real-time risk data has launched to bring tailored and transparent data-driven policies for fleets.
The new proposition, branded as Rideshur, launches from managing general agent Humn.ai, which prides itself on being deep-tech driven and says it’s on a mission to build new insurance products for the future mobility market.
Rideshur is based on a real-time risk platform, dubbed riskOS, that enables it to process hundreds of data points every second to generate a real-time risk score for individual drivers.
This means that premiums can be tailored to each and every driver within a fleet while businesses can also again from comprehensive reporting capabilities. Every client will gain access to the Rideshur user platform where they can review live trips and exposure data, live premiums and perform instant analysis to enhance and improve risk management policies.
Humn.ai said initial product trials have seen accident frequency reductions of up to 65%. It added that the reduction in vehicle downtime alone generates additional revenues for Humn.ai’s initial fleets.
The firm’s founder and CEO, Mark Musson, said: “The overarching problem with the traditional insurance framework is that insurers often have to price fleets on a limited set of static risk factors. Despite the fact that commercial fleets aggregate huge quantities of data, insurers have been unable to use the data effectively.
“We have built Rideshur to combat this problem with the application of data science, enabling better risk selection. Our algorithms detect events in real time, taking numerous data sources to calculate risk as it happens, allowing future planning to anticipate and prevent potential incidents as more insurers move away from personal motor insurance to commercial and product liability.”
