Your lab generates data.
Now make it mean something.
From fragmented instruments to AI-ready workflows, the connected digital lab isn't a vision — it's an architecture decision. Watch three expert clips from our Dotmatics x Databricks webinar, then tell us where you are in the journey.
Three things worth 15 minutes of your time
Each clip covers a different layer of what a connected, AI-ready R&D environment actually looks like in practice.
Why scientific discovery needs orchestration, not just digitization
Scientific tools have multiplied, but most still operate in silos. A liquid handler doesn't talk to the LCMS beside it. An ELN doesn't feed the LIMS upstream. This clip explains why fragmented digital foundations stall innovation — and why the answer is orchestration, not more point solutions.
How Luma and Databricks build your data ingress foundation
Instruments, ELNs, LIMS, CROs, and third-party databases all generate data in different formats and locations. This clip walks through the ingress framework — file capture, APIs, direct database connections, and Delta Sharing — that consolidates it all into the Databricks stack, with Luma providing the scientific intelligence layer on top.
Structured data, AI agents, and the design-make-test-analyze cycle
AI is only as good as the data it runs on. Luma harmonizes scientific data into a structured, FAIR format across cheminformatics, bioinformatics, and experimental records — then applies domain-specific AI assistants and Luma AI agents as co-scientists throughout the full design-make-test-analyze cycle, with configurable human-in-the-loop controls.
Ready to see your screening data in Analytical Studio?
Whether you're running primary screens, validating hits, or adding Kd analysis to your pipeline — talk to an expert about how Analytical Studio fits your specific workflow.
- Screen compound libraries of thousands of compounds per well
- Automate hit identification, filtering, and validation end-to-end
- Access binding affinity data earlier in your discovery campaign
- Trusted by 80% of the top 10 global pharmaceutical companies