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Enterpret - AI Voice of Customer Software | Product & CX

Video · Light

Design System Inspiration

Enterpret — extracted via DESIGN.md

Analytics · Customer feedback analytics

corporate clean dark-theme typographic animated interactive sticky navigation scroll-triggered animations split-screen hero dark mode toggle

Typography

Fustat

Heading

Aa Aa Aa Aa

Geist Mono

Body

Aa Aa Aa Aa

Color palette

TL;DR

Enterpret uses a monochrome-leaning foundation anchored by an off-white sage canvas (`#f1f6eb`) and pure black (`#000000`). The UI feels technical and precise, driven by sharp 0px border radii on most surfaces and the prominent use of Geist Mono for metadata and captions. Fustat provides clean, geometric readability for headings and body copy. The brand avoids heavy shadows entirely, opting for 1px borders in muted green (`#b8c9a5`) to define structure and hierarchy.

Target audience

The site targets product managers, CX professionals, and business leaders seeking advanced AI-powered customer feedback analytics solutions.

Full tech stack

Amazon S3 Amazon Web Services DoubleClick Floodlight Facebook Pixel Fathom Google Analytics Google Font API Google Hosted Libraries Google Tag Manager HubSpot HubSpot Analytics jQuery jsDelivr Linkedin Insight Tag LiveIntent

Analytics

Linkedin Insight Tag HubSpot Analytics Google Tag Manager Google Analytics Fathom Facebook Pixel

Meta description

Enterpret is the leading customer feedback analytics platform that unifies large volumes of feedback across tickets, calls, and reviews to surface customer insights and drive product decisions faster.

Brand Voice

Authoritative, analytical, and action-oriented, focusing on infrastructure and measurable business outcomes.

Positioning

Enterpret is a customer intelligence infrastructure platform that connects support, sales, and market signals into structured insights. It is built for product, CX, and AI teams to operationalize customer understanding and prioritize decisions based on business impact.

Voice principles

  • Action-oriented: Uses strong, imperative verbs to describe business outcomes (Prioritize, Resolve, Fix, Win).
  • Analytical: Focuses on structure, measurement, and data rather than vague feelings (signals, taxonomy, business impact).
  • Authoritative: Explains complex concepts clearly and positions itself as the foundational layer for AI and product decisions.
  • Systematic: Emphasizes continuous, scalable processes over isolated tasks (moving from one-off answers to a system).

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