Labric GTM brain

Labric captures and structures laboratory instrument data so research teams can analyze experiments and prepare datasets for AI.

category

Scientific data infrastructure

market profile

  • text: Research labs often keep experiment context across notebooks and spreadsheets while manually moving instrument files between systems.
  • text: Labric offers instrument ingestion, lab-specific databases and AI-assisted analysis for scientific research.
  • text: Scientific data platforms and lab integration tools compete for overlapping laboratory informatics budgets.

personas

  • title: Director of R&D or lab head
    pains:
    • Experiment data and decisions are hard to compare across teams and instruments.
    • Critical experimental context is lost when scientists change teams or leave.
  • title: Research scientist or lab manager
    pains:
    • Manual exports and transfers take time away from experiments.
    • Connecting measurements back to the right sample and protocol requires tedious reconciliation.
  • title: Research informatics or data infrastructure lead
    pains:
    • Maintaining heterogeneous instrument integrations and fragile parsers takes ongoing engineering effort.
    • AI initiatives need structured data linked to experiment context rather than isolated instrument files.

icp

  • text: Corporate R&D labs in materials science and other instrument-heavy disciplines with scattered measurements and multiple research teams.
  • text: Academic and national research facilities seeking continuity across scientists and experiments.
  • text: Teams investing in AI-assisted research that need a clean underlying data layer and integration with existing lab systems.

message pillars

  • text: Remove manual movement of instrument output.
  • text: Preserve context so data remains interpretable.
  • text: Give researchers a shared, structured source of truth.

objections

  • objection: Can it connect our instruments and existing tools?
    response: Inventory representative instruments and data formats, then validate ingestion with the lab. The site claims support for 300+ instruments and lists integrations.
  • objection: Will implementation distract scientists?
    response: Scope a small instrument pilot and measure deployment effort; Labric claims deployment in one week.
  • objection: Can we trust AI answers about our experiments?
    response: Test known questions and trace answers to underlying measurement and experimental context before broad use.

competitors

  • name: TetraScience
    why: Scientific data platform for collecting and contextualizing laboratory and instrument data.
  • name: Scitara
    why: Connects laboratory instruments and applications and orchestrates data flows.
  • name: Uncountable
    why: R&D platform for structured experiments and materials data with analysis.
  • name: Labguru
    why: Combined ELN and LIMS with overlap in research records and instrument data.

influencers

  • name: Caitlin Hogan
    why: Co-founder with research data infrastructure and materials science experience.
  • name: Connor Hogan
    why: Co-founder with database and AI product experience.

keywords

  • lab instrument data integration
  • scientific data platform
  • AI ready laboratory data
  • laboratory data management
  • research data infrastructure
  • automated lab data capture
  • materials science experiment data

voice

  • Scientist-centered
  • Practical and technically precise
  • Focused on research productivity

signals

  • text: A lab is connecting multiple instruments or replacing manual exports with a central research database.
  • text: R&D is starting AI analysis while experiment context is still spread across notebooks and spreadsheets.

stack

  • Python SDK
  • Excel
  • Google Sheets
  • Google Drive

hiring

  • Full Stack Software Engineer, San Mateo
  • Senior Full Stack Software Engineer, San Mateo

pricing

model: unknown

motion

sales_led

channels

  • Company website
  • Blog
  • Newsletter
  • Founder outreach

confidence

medium

Founders

  • name: Connor Hogan
    title: Founder/CEO
    role: CEO
    bio: Loves science, AI, basketball, and software. Building Labric to make automated scientific discovery closer to reality.
  • name: Caitlin Hogan
    title: Founder/CTO
    role: CTO
    bio: Currently building Labric (X25) to make the benefits of modern data infrastructure more accessible to scientific research labs.

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