TetraScience Technical Showcases
9:00 AM ET (3 PM CET)
12:00 PM ET
Build on Top of Tetra OS with AI
Unconnected instruments, new assay types, and custom CRO formats create constant technical bottlenecks. Instead of waiting weeks on engineering queues, developers are now using AI to build custom schemas, connectors, and pipelines directly on top of Tetra OS.
On September 17, join TetraScience co-founder Spin Wang and solutions architect James Davies for a live build session. Starting with a raw plate reader dataset, they’ll pair AI coding assistants like Claude Code and Cursor with Tetra MCP and platform APIs to explore raw data, construct custom schemas, and deploy a production pipeline live from a local IDE.
Bring your questions about models, tooling, and governance and see how to scale data development velocity without vendor lock-in or policy risk.
Who this is for: Data engineers, lab informatics leads, and scientific IT teams looking to eliminate integration backlogs, onboard instruments faster, and deliver AI-ready scientific data across the enterprise.
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.