SenseTime Healthcare has completed a new round of financing, with its valuation surpassing $1 billion, leading the global medical world model sector

SenseTime Healthcare recently announced the completion of a new round of financing, with the amount raised exceeding 500 million yuan, and its valuation surpassing $1 billion, officially entering the unicorn ranks

This round of financing was jointly invested by Raffles Healthcare Growth Fund, Singapore Lion City Capital, Hong Kong High Talent Fund, Huagai Capital, Guoke Capital, Far East Horizon Capital, Shanghai Lingang Fund, Bridge Capital, and Hongfeng Capital, among other industry players, state-owned platforms, and top financial institutions. Existing shareholders like Legend Capital continued to increase their investments.

The proceeds from this financing will mainly be used to accelerate the research and development upgrades of the healthcare world model and related AI products, deepen commercialization efforts in collaboration with global hospitals and industry chain partners, and further build an AI infrastructure platform for the future of healthcare.

Zhang Shaoting, Vice President of SenseTime Technology and CEO of SenseTime Healthcarebelieves that the healthcare world model architecture will become the core of the next-generation healthcare infrastructure.

"The evolution of smart healthcare has moved from physical modeling to pre-trained model clusters to the healthcare world model architecture. SenseTime Healthcare has consistently led technological advancements. We not only aim to be a technology provider but also hope to build an AI ecosystem platform that connects hospitals, doctors, and the industry."

SenseTime Healthcare Bamboo Dragonfly Logo

Currently, SenseTime Medical has built a technical foundation centered on its self-developed large model production platform and Medical Agentic OS, forming a complete product matrix covering: a large language model intelligent agent platform for healthcare, AI imaging and surgical planning systems, AI pathology systems, and multi-modal model training infrastructure.

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