About Labric

Built by engineers who have experienced lab data first hand

We started Labric after seeing the same problem everywhere. World-class research labs were running on outdated data infrastructure. Instruments dumping data into scattered spreadsheets. Scientists emailing files to themselves. PhDs spending more time wrangling data than doing science.

As AI becomes central to research, proper data infrastructure isn't just nice to have—it's the bottleneck preventing breakthroughs.

Building the infrastructure research deserves

Caitlin experienced the problem firsthand while building lab data systems from scratch at Swift Solar, a solar cell research company. She saw critical experimental context trapped in paper notebooks, hours of manual data movement via USB drives and email, and custom systems that broke when grad students graduated.

The pattern repeated everywhere: university labs, corporate R&D teams, and national research facilities. Connor had worked on database products at Google and understood what modern data infrastructure could do.

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.

Use natural language to ask AI questions about your datasets.

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 Swift Solar, a solar cell research company, creating their lab data platform from scratch. She studied Computer Science and Materials Science at Stanford, combining technical expertise with firsthand research experience.

Connor Hogan

Co-founder

Connor previously worked on database products and AI in Search at Google, bringing expertise in large-scale data systems. He studied Computer Science at Stanford and combines deep technical knowledge with product thinking.

Latest press

Labric raises $2M to build data infrastructure for scientific research labs

January 15, 2026

How AI-ready data infrastructure is transforming academic research

December 3, 2025

The AI tools reshaping how scientists manage lab data

November 24, 2025

New platforms tackle the lab data management crisis

November 18, 2025