Seegene

Azure OpenAI and AI agents for diagnostic R&D

Seegene uses Azure AI in R&D; product planning drops from four experts for a month to one person in a day

Con resultadosCaso de cliente del proveedorProveedor ↗

Problema

The PCR diagnostics maker earns about 90% of revenue overseas and needs faster research and genomic analysis. Planning one diagnostic product took four experts a month.

Enfoque

Seegene uses Azure OpenAI to summarize papers and web content, Azure AI Search for retrieval, Document Intelligence for PDFs and custom AI agents. It ran a Microsoft Fabric proof of concept in 2024 and uses Azure HPC for gene sequence analysis.

Cifras clave

75%reported workload reduction in diagnostic product planningCaso de cliente del proveedor[1]

20-foldexpected reduction in analysis time (target, not yet reported as achieved)Caso de cliente del proveedor[1]

Conclusión

Seegene reported less work in diagnostic product planning after introducing AI. Seegene had not yet reported achieving the expected gains in analysis time.

Fuentes

Seegene customer story
Microsoft20 jun 2025Publicación del proveedor

Resúmenes de fuentes

[1]Microsoft20 jun 2025

Microsoft describes the Azure services Seegene uses in R&D and reports a 75% reduction in product planning workload. The expected 20-fold reduction in analysis time remained a target. Seegene ran a Fabric proof of concept in 2024.

La información completa figura en las fuentes originales.

Añadido 25 oct 2026 · Actualizado 25 oct 2026