In recent years, the advancement of large language models in AI has catalysed a significant transformation in research and development (R&D) across industries. As organisations grapple with rapid technological change and increasing competition, the demand for domain-specific AI agents—tailored to address unique industry challenges—has never been greater.

In a presentation at AIMX Singapore 2025, Guan Dian, Co-Founder of Singapore unicorn PatSnap shares about this shift from generic AI tools towards purpose-built solutions that integrate deep industry knowledge, domain-specific data, and an acute understanding of workflow pain points.

Key Highlights

- Purpose-built, verticalized AI Agents (00:02:02)

- The AI Agent in the R&D Workflow (00:07:25)

- Validation After Ideation (00:13:16)

- Real-world Examples (00:15:21)