The TetraScience Technical Showcase
9:00 AM ET (3 PM CET)
12:00 PM ET
Generating Metadata You Can Trust
With the Tetra OS
Scientific AI is only as good as the richness of its data stack. When a model hallucinates, or when an AI-assisted workflow produces something you can't defend, the root cause is usually data that arrived without context.
On November 12, we'll show how the Tetra Scientific Data Foundry keeps that from happening. The session focuses on the two steps that matter most for AI readiness: metadata extraction and scientific contextualization.
What you'll see:
- What the gap between raw instrument data and AI-ready data looks like in practice
- How to get more context to show up with the data and avoid having to re-label the rest of your files one by one.
- How governed vocabularies keep labels consistent across instruments and sites and record where every value came from
- What well-contextualized data makes possible in search, analytics, and AI workflows
Who this is for: Scientific IT teams managing lab data infrastructure, data engineers building pipelines, and R&D leaders who want to understand what’s limiting their AI workflows.
Two sessions on November 12:
9:00 AM ET (3:00 PM CET) · 12:00 PM ET · 30 minutes · Live demo + Q&A
What are TetraScience Showcases?
A TetraScience Technical Showcase is a live, interactive, and expert-led session in which we share the tools and strategies transforming lab data infrastructure across life sciences.
Led by our Sciborgs and product team, a Tetra Showcase offers real-world use cases working with scientific data and automation, best practices for scale and implementation, and applications at the forefront of analytics and scientific AI.
This isn’t a webinar. It’s a working session. Bring your questions. We’ll be updating this page regularly with new topics, so check back often.
Register now
Fill out the form to attend the live technical showcase.