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Design System Inspiration

Tekizma — extracted via DESIGN.md

Healthcare · Healthcare software

corporate clean dark-theme typographic minimalist sticky navigation card-based layout dark mode toggle scroll-triggered animations

Typography

et-line

Heading

Aa Aa Aa Aa

Open sans

Body

Aa Aa Aa Aa

Color palette

TL;DR

Tekizma utilizes a "monochrome plus one" strategy, where a stark white and near-black (#232323) foundation is interrupted by large blocks of teal (#37beb8). The system is characterized by a signature typography weight of 200 (Extra Light) for primary headlines, creating an airy, technical aesthetic. Layouts are strictly sharp-edged with 0px border radii across all components, including buttons and cards. Interactive elements rely on a specific teal accent (#0cc7c7) for text-based links and primary button backgrounds.

Target audience

The site targets professionals and organizations in the healthcare or technology sector, likely seeking information on product development and service delivery.

Full tech stack

Bootstrap FancyBox FlexSlider Google Tag Manager jQuery Modernizr OWL Carousel

Analytics

Google Tag Manager

Meta description

We build products that empower users and facilitate the universal delivery of the highest standard of care.

Brand Voice

Professional, outcome-oriented, and technically precise.

Positioning

Tekizma is a software engineering and data science firm that provides analytics and privacy-focused products (Datanyx and MaskBits) to help organizations manage data quality and business intelligence. It positions itself as a multidisciplinary partner for businesses needing to streamline service delivery and minimize privacy risks.

Voice principles

  • Functional: Focuses on what the software does and the specific utility it provides.
  • Trustworthy: Uses formal language to emphasize reliability, data quality, and consumer confidence.
  • Direct: Employs active verbs like "streamline," "minimize," and "foster" to describe impact.
  • Aspirational yet grounded: Combines high-level goals (dreaming big) with specific technical methodologies (AI, Data Science, Product Engineering).

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