AI medical imaging platform with diagnostic products across cardiology, pulmonology, and neurology
Shukun Technology develops diagnostic AI for medical imaging, with a product portfolio covering heart, brain, chest, and musculoskeletal systems. The tech stack (Python, PyTorch, LangChain, LlamaIndex, Milvus) reflects a company pivoting toward large language models and retrieval-augmented generation for medical data—a shift visible in active projects around medical NLP and large model data engines. Hiring has decelerated to single-digit open roles, mostly internships, suggesting either a consolidation phase or a narrowing of immediate hiring needs after earlier scaling.
Shukun Technology is an AI medical imaging company founded in 2017 and headquartered in Beijing. The company operates a product suite called DigitalDoc, which includes 12 released products and 25 candidates in development. Two products (Coronary CTA and Pneumonia CT assisted diagnosis) hold NMPA Class III regulatory clearance in China; four additional products carry CE marks in Europe. Adoption spans approximately 80% of China's Top 100 hospitals and over 2,000 hospital locations. The company's therapeutic coverage accounts for more than 80% of medical imaging usage scenarios globally, with particular strength in cardiovascular and pulmonary diagnostics.
Shukun holds NMPA Class III certificates for two products: Coronary CTA and Pneumonia CT assisted diagnosis. Four additional products carry CE marks (Coronary CTA, Cerebral CTA, Pneumonia CT, Lung nodule detection).
Python, PyTorch, Django, Flask, MySQL, Redis, Pandas, NumPy, Milvus (vector database), LangChain, LlamaIndex, RAG, spaCy, and NLTK for NLP and computer vision tasks.
Beijing, China. The company has 501–1,000 employees and was founded in 2017.
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