Are your research labs ready for 2026?

Watch this webinar to get a practical framework for reducing data chaos, building structured-data foundations, and making your lab AI-ready--securely and without vendor lock-in.

What you’ll get from this webinar + short product demo

If your lab is generating more data than ever but still relying on spreadsheets, shared drives, and disconnected tools, this session will help you make sense of what comes next.

In this recording, Zareh Zurabyan and Erwin Seinen break down what’s changing in life science and TechBio, and what teams can do now to prepare for 2026 with actionable steps you can apply immediately.

By the end, you’ll understand how to:

• Reduce data fragmentation across instruments, files, teams, and systems
• Build a structured data foundation that turns data into something searchable, traceable, and reusable
• Create a connected digital ecosystem that supports integrations, automation, and collaboration
• Evaluate AI in the lab with an “AI without gimmicks” mindset focused on measurable outcomes
• Protect your IP with AI best practices, including why your data should not be used to train external models
• Use approaches like Retrieval Augmented Generation (RAG) and Model Context Protocol (MCP) for secure, controllable AI workflows
• Start modernizing without boiling the ocean. Learn how to prioritize and structure existing legacy data in manageable phases