About Labric
Built by engineers who understand the lab
We started Labric after seeing the same problem everywhere. World-class research labs are running on outdated data infrastructure. Experimental context lives on post-its. Scientists email files to themselves for analysis. More time is spent wrangling data than doing science.
As AI becomes central to research, the labs with clean, structured, connected data will be the ones that actually use it.
Building the infrastructure researchers deserve
Caitlin spent four years building research data systems from scratch at a materials science startup, after previously working on software across several other labs and scientific domains. The same challenges kept showing up: experimental context scattered across notebooks and spreadsheets, hours spent on manual data movement, and infrastructure that was hard to maintain as teams changed.
The pattern repeated across corporate R&D teams and national research facilities. Connor had built database products at Google, where teams had the kind of data tooling that most research labs can only dream of.
Together, we realized research labs need the same caliber of data systems that scaled tech companies take for granted. Labric was built to solve this.
A platform purpose-built for scientific research
Labric transforms chaotic lab data into structured, AI-ready datasets. We automatically capture data from instruments, organize it into custom databases, and enable powerful analysis.
Automatic instrument data capture
Custom lab-specific databases
Event-driven workflow automation
AI-powered natural language queries
The values that shape everything we build
Scientists first
We build for researchers who use the platform daily, not just the decision makers who buy it.
Speed matters
Research moves fast and infrastructure shouldn't be the bottleneck.
Engineering excellence
We obsess over data correctness, system reliability, and the details that make daily use effortless.
Built with lab experience
We've lived the pain of broken lab data systems and understand what actually works in research.
Leadership
Led by engineers who understand lab workflows
Caitlin Hogan
Co-founder
Caitlin built and led the data infrastructure team at a materials science startup, creating their lab data platform from scratch over four years. She holds an M.S. in Materials Science and a B.S. in Computer Science from Stanford, combining technical expertise with firsthand research experience.
