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UI/UX Design for an AI Analytics Platform

©2025—2026

( AI )

WEB APP

Auralis product screens

Design that makes AI insights explainable and trustworthy

UI/UX Design · Graphic Design

Client
Auralis
Industry
AI
Headquarters
USA

( About the project )

About

Auralis is an AI-powered copilot that delivers actionable insights with intelligent analysis, licensed expert knowledge, and long-term pattern tracking. The request was to design the mobile app UI/UX and admin panel in a natural and user-centric style.

Auralis overview

( The brief )

Challenge

Problem

The core challenge was making automated insights explainable and trustworthy. Our design team needed to build a visual system that communicates intelligence hierarchically, supports long-term pattern tracking, and balances analytical depth with minimalism.

Solution

We built a layered information architecture with high-level summaries first, expandable deep dives, and transparent AI reasoning at every level. The visual system separates AI-generated insights from expert-reviewed guidance. We used calm, structured design language that communicates trust.

( How we worked )

Process

  1. DiscoveryBriefing & onboarding, Competitor analysis
  2. Logo ConceptsMetaphors, Logo Concept Creation, Typography
  3. Brand GuidelinesLockup Logo, Color Palette (primary, secondary), Color Palette (primary, secondary)
  4. Web designDiscovery, Moodboard, UI Concept, UI Layouts

Wireframing

Firstly, we mapped the full insight hierarchy from summary to explanation to action. It was important to test information density, clarity of AI explanations, and placement of trend visualizations before visual design. Each screen received a defined structure with expandable logic blocks, recommendation modules, and pattern-tracking components. We balanced them to avoid cognitive load.

Auralis wireframing

Logo Design

Our brand designer created the Auralis mark as a geometric arrow with a focal dot at the base. The upward form signals direction and decision. And the dot anchors attention on a single point of insight. The mark follows a strict grid construction, scales from app icon to full-screen placement, and strips detail to match how the product works.

Auralis logo design
Auralis logo design

Landing Page Layouts

A UI/UX designer built the landing page with real photography, natural tones, and open space. This solution distanced Auralis from the dark and data-heavy aesthetics typical for AI products. The page follows a single conversion path: value statement, product logic, feature proof, pricing. Each section answers one question and advances the decision.

Auralis landing page layouts
Auralis landing page layouts

AI copilots often overwhelm or oversimplify. We designed the one that explains and proves.

Social Materials

Our graphic designer developed unified social assets (stories, presentation screens, and branded visuals). They have full-bleed nature photography and human silhouettes instead of the interface screenshots and abstract gradients typical of competitor products. Each format carries one message, one metric, or one visual idea for clarity and recognition.

Auralis social materials
Auralis social materials

Design system

Auralis design system
Auralis design system

( Results )

WHAT CHANGED

  1. +81%

    Increase in work speed on average, according to user research.

    Layered information architecture and progressive disclosure let users access key insights without navigating through unnecessary complexity.

  2. 87%

    Of users reported higher confidence in ai-generated recommendations during usability testing.

    Transparent reasoning, references, and visual separation of AI insights from expert guidance build trust in automated outputs.

  3. -35%

    Decrease in onboarding drop-off rate.

    Clear visual guidance and reduced cognitive load help new users reach their first meaningful insight without abandoning the flow.

  4. +45%

    Increase in feature engagement.

    Progressive disclosure and explainable AI outputs encourage users to explore deeper analysis instead of staying on surface-level summaries.

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