UNISOUND (09678.HK): Wins multiple benchmark medical projects with total contract value of nearly RMB 100 million

NewTimeSpace News: On 7 September 2026, Unisound AI Technology Co., Ltd. (stock code: 09678) voluntarily announced progress in its medical intelligence business, saying it had recently won a series of benchmark projects in the smart healthcare sector with a combined contract value of nearly RMB 100 million.

The announcement showed that the projects include large-model-based smart healthcare projects at several leading Class 3A hospitals, covering children's specialty hospitals and regional comprehensive medical centers, and promoting the in-hospital deployment of medical vertical large models, intelligent medical records, medical data governance and intelligent services; an intelligent fund supervision project for a leading insurance institution, which builds an integrated professional intelligent supervision solution featuring pre-event warnings, in-process monitoring and post-event tracing based on its medical insurance vertical large model; and a regional medical intelligence construction project, which embeds large-model products such as medical record generation, assisted consultation, clinical decision support and intelligent quality control into diagnosis and treatment, collaborative referrals, patient convenience and industry supervision on the foundation of a data middle platform.

The company previously launched "U2-Med", the industry's first professional large model covering healthcare, medical insurance (including commercial insurance) and pharmaceuticals, and the above projects are based on vertical large models trained on its proprietary foundational model U2. The company stated that the projects, covering in-hospital diagnosis and treatment, fund supervision and regional data governance, will consolidate its technological leadership in medical vertical large models and validate the scalable replication of its capabilities from individual institutions to entire regions, adding that it will use the benchmark projects as demonstrations to develop replicable and scalable paradigms for regional smart healthcare construction.

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