Labric is a data platform designed to make AI work for scientific research by transforming messy lab data into structured, accessible information for researchers. Labric captures raw experimental data from lab instruments and spreadsheets, cleans and connects it, and provides AI-powered analysis and collaboration tools to accelerate scientific discovery.
How does Labric help scientific research?
Labric addresses a core challenge in research labs: data fragmentation. Many top labs rely on outdated tools, leading to scattered data sources and scientists spending hours wrangling data rather than analyzing it. Labric's product unifies hundreds of these sources—including lab instruments and digital tools—into a single data layer, enabling:
- Automated data integration from lab instruments and spreadsheets
- Real-time data cleaning and structuring
- AI-powered analytics for immediate insights and smart visualizations
- Universal access to organized experimental data across teams
- Seamless collaboration features for research groups
By providing this foundation, Labric aims to unlock the potential for AI to accelerate scientific output and reduce manual data handling.
What services does Labric offer?
In addition to its core platform, Labric offers a white-glove service for R&D teams that need custom data infrastructure. This includes:
- Bespoke data integration from specialized lab equipment
- Data cleaning and transformation pipelines
- Database architecture and setup tailored for scientific workflows
These services are designed to support labs with unique data needs or legacy systems that require expert handling to modernize.
Who uses Labric?
Labric targets scientific research labs, particularly those in academia, biotech, and industrial R&D, that generate large volumes of experimental data and want to leverage AI for discovery. While specific customer names are not publicly listed, Labric's offering is built for organizations seeking to modernize their data infrastructure and improve research efficiency.
What makes Labric different?
Labric integrates AI capabilities at every layer of the data pipeline, from initial data capture to real-time analysis and visualization. This end-to-end approach enables faster, smarter research and has the potential to significantly increase scientific output per dollar. The platform's focus on universal accessibility and seamless collaboration also sets it apart from traditional, siloed lab data systems.
Who founded Labric?
Labric was founded by siblings Connor Hogan and Caitlin Hogan, both Stanford graduates with backgrounds in computer science and scientific data systems. Connor previously worked on database products at Google, while Caitlin built custom data systems at a solar cell research company. Their combined expertise in databases, materials science, and research informatics shapes Labric's purpose-built approach for science.
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