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Data Management Software for Science | LabKey

Video · Light

Design System Inspiration

Labkey — extracted via DESIGN.md

Healthcare · Life sciences data management

corporate clean data-heavy typographic dark-theme sticky navigation card-based layout dark mode toggle clear typographic hierarchy

Typography

Roboto

Heading

Aa Aa Aa Aa

Roboto

Body

Aa Aa Aa Aa

Color palette

TL;DR

Labkey utilizes a "monochrome-plus" system where a foundational achromatic scale (#ffffff, #f7f7f8, #212529) is punctuated by a specific corporate blue (#2d6592). The visual language is structured around high-density information grids and clinical white space, using Roboto as the sole typeface across all weights. Interactive elements are defined by generous 100px pill-shaped radii for primary CTAs and sharp 0px corners for structural surfaces. A secondary "growth green" (#76b600) is reserved strictly for conversion-critical actions like "Get a Demo" or "Submit," creating a clear functional hierarchy against the dominant blue brand color.

Target audience

The target audience consists of life science professionals and researchers seeking sophisticated data management software for sample, antibody, and mass spec data.

Full tech stack

Amazon S3 Amazon Web Services Google Analytics Google Tag Manager HubSpot Linkedin Ads Linkedin Insight Tag MySQL NitroPack PHP WordPress

Analytics

Linkedin Insight Tag Google Tag Manager Google Analytics

Meta description

Data management software for the life sciences, including sample management, antibody discovery, SDMS and mass spec software.

Brand Voice

Professional, collaborative, and scientifically grounded.

Positioning

LabKey provides flexible, scalable LIMS and data management software designed specifically for life science research. It serves scientific labs and research organizations through a partnership-driven approach that combines modern software with consultative support.

Voice principles

  • Collaborative: Uses language that emphasizes partnership, shared goals, and human support over automated interactions.
  • Scientifically Literate: Employs industry-specific terminology (biologics, R&D, entity tracking) to demonstrate deep domain expertise.
  • Reliable: Focuses on proven track records, audit-ready records, and "first-class" support to build trust in high-stakes environments.
  • Outcome-Oriented: Highlights efficiency, "early wins," and the acceleration of discovery rather than just listing technical features.

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