XIUWEI Technology Forms Strategic Partnership with YICE Technology and QIANYUN Data to Accelerate AI-Driven Digital Pathology Transformation

Following its successful participation in the 2026 World Artificial Intelligence Conference (WAIC), Guangzhou Sowe Technology Co., Ltd. has officially entered into a strategic partnership with Yice Technology and Qianyun Data.

During WAIC, Mr. Chen Jun, Chairman of Sowe Technology, was invited to attend the conference, where he engaged in in-depth discussions with experts and industry leaders in medical technology. The exchanges focused on the future of AI-enabled digital pathology and the common challenges facing pathology laboratories under China's evolving medical insurance reimbursement policies.

Building upon the shared vision established during WAIC, the three companies officially signed a Strategic Cooperation Agreement in Hangzhou on July 20, 2026.

The partnership combines three core competencies across the pathology ecosystem:

• Advanced pathology laboratory hardware

• AI-powered pathology diagnostic technology

• Secure medical data infrastructure

Together, the three parties will develop an integrated, one-stop digital pathology solution designed to meet the latest pathology reimbursement requirements under China's healthcare insurance reform, helping hospitals and pathology laboratories improve compliance, efficiency, and digital transformation.

The strategic partnership was established after extensive discussions and technical evaluations during WAIC, representing a collaborative effort across multiple technology disciplines to deliver a comprehensive solution for the pathology industry.

Sowe's Contributions to the Strategic Partnership

As the provider of pathology laboratory equipment and workflow automation, Sowe Technology contributes standardized laboratory solutions and reliable technical support in three key areas.

1. Standardized Histology Preparation and Whole Slide Imaging Workflow

Sowe provides a complete pathology laboratory solution including:

• Automated Tissue Processor

• Tissue Embedding System

• Automated Special Stainer

• Digital Whole Slide Scanner

The integrated workflow standardizes tissue processing, embedding, staining, and slide scanning, producing high-quality Whole Slide Images that comply with national pathology archiving requirements and satisfy mandatory digital submission standards for medical insurance documentation.

2. End-to-End Digital Audit Trail and Full Workflow Traceability

Through seamless integration between Sowe's laboratory instruments and the Qianyun Pathology Cloud Platform, every critical step of the pathology workflow is automatically recorded, including:

• Specimen accession

• Fixation

• Tissue processing

• Staining

• Whole slide scanning

In addition, the system automatically captures:

• Reagent lot numbers

• Operator identification

• Time stamps

• Equipment operation logs

This creates a complete digital audit trail that enables rapid retrieval of evidence for regulatory inspection, reimbursement verification, and quality management.

3. High-Throughput Digital Conversion of Existing Glass Slide Archives

For hospitals with large collections of archived glass slides, Sowe provides high-speed, batch digitalization services using high-throughput whole slide scanners.

The solution enables healthcare institutions to:

• Rapidly digitize historical pathology slides

• Build comprehensive digital pathology archives

• Meet annual digital pathology assessment requirements

• Improve long-term data management and accessibility

Driving the Future of Smart Pathology

Through this strategic collaboration, Sowe Technology, Yice Technology, and Qianyun Data will jointly accelerate the intelligent transformation of pathology laboratories by integrating advanced laboratory automation, artificial intelligence, and secure medical data management.

The partnership aims to provide hospitals with a comprehensive digital pathology ecosystem that enhances diagnostic efficiency, ensures regulatory compliance, strengthens data traceability, and supports the sustainable development of pathology services in the era of digital healthcare.