Patsnap AI Day 2.0 | Aug 7th, 2025 11 AM EST | 4 PM BST

Where innovation bottlenecks meet intelligent automation

Everyone’s talking about AI agents, but for most R&D and IP teams, results are still stuck in neutral: too much manual work, too many disconnected dots, and not enough time to innovate.

Join us for the second edition of AI Day to see how agentic AI actually works for innovators. Get a first look at the AI agents we’ve purpose-built for R&D, IP, and Life Sciences, and how they’re helping teams ask smarter questions, draft patents faster, and uncover technical solutions with less guesswork and more precision.

Agenda

The Rise of AI Agents in IP and R&D

Explore the growing challenges in innovation, from slow, manual tasks to fragmented data, and discover how domain-specific AI agents are uniquely positioned to solve them. Plus, get an early look at the architecture behind Patsnap’s Eureka platform and what’s coming next.

Haydn Evans

Introducing Patsnap’s AI Agents

Meet the intelligent, purpose-built AI agents transforming IP and R&D workflows. Learn how they work, where they add value, and how they fit into your innovation ecosystem.

Wintana Seyoum & Gaby Lai

R&D Agents Demo

See how our R&D-focused agents help teams uncover technical solutions faster, improve cross-domain insights, and reduce time spent on repetitive research tasks.
Meet the latest additions to our R&D agent lineup:

• Find solutions
• Tech Q&A
• Solutions feasibility
• Materials scout

Hannah Hughes & Frazer Kearl

IP Agents Demo
Discover how our IP agents streamline the patent drafting process, from generating claims to refining technical descriptions, helping teams move from invention to application more efficiently.

Meet the latest additions to our IP agent lineup:

• Novelty search
• AI drafting

Zofia Man

Life Sciences Agents Demo

Get a closer look at agents built for the unique needs of Life Sciences, from biological sequence search to landscape analysis and beyond.

Meet the latest additions to our Life Sciences agent lineup:

• Markush claim drafting
• Pharma competitive intelligence explorer
• Antibody-target predictor

Carman Yueng

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