Ant Group’s ‘YinYu’ Privacy‑Computing Framework Enables Joint Pricing for New‑Energy Vehicle Insurance

China Academy of Information and Communications Technology (CAICT) released the 2023 Big Data “Star River” case list, and Ant Group’s project “YinYu Joint Pricing Solution for New Energy Vehicle Insurance Actuarial Pricing” was selected as an outstanding case of data element circulation.

“YinYu” is an industrial‑grade, trustworthy privacy‑computing framework developed by Ant Group over six years, capable of supporting large‑scale, high‑security data flow across industries.

The project uses the “YinYu” framework as its core, integrating AI and big‑data technologies to build a joint‑pricing actuarial platform for vehicle insurance, allowing secure, compliant data modeling and delivering a breakthrough in new‑energy vehicle insurance actuarial capabilities.

Earlier, the solution was also selected as a case in the “Science and Technology Innovation in China” fintech innovation competition (2023) under the “Financial Privacy Computing Innovation” track.

Data shows that by June this year, the penetration rate of new‑energy vehicles in China reached 35%, with a fleet of 16.2 million. Household new‑energy vehicles have an 11.7 percentage‑point higher loss‑ratio and a 5.4 percentage‑point higher claim‑payment ratio than conventional vehicles, mainly because traditional actuarial models struggle to identify the risks of new‑energy cars.

The core challenge of new‑energy vehicle insurance pricing is that data such as driver‑vehicle relationships, vehicle information, mileage and claim history are scattered among different parties. Ant Insurance’s actuarial platform leverages “YinYu” privacy‑computing to enable secure sharing of risk data among multiple institutions, combines AI for risk data analysis, model training and decision making, and achieves fine‑grained, personalized risk models. A plug‑in blockchain storage component records the data flow trajectory, making the entire usage process traceable and auditable.

The solution has been deployed by several insurers; after applying joint pricing, claim‑payment ratios have been precisely controlled and about 75 % of policyholders saw an average premium reduction of 8 %.

Privacy computing is a key security component of China’s data‑element infrastructure, ensuring that data remains “usable but invisible” during circulation and integration. As a typical technical solution, “YinYu” will continue to support the development of the data‑element industry and academic research.