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Gyaan.ai is a knowledge-driven sales enablement platform that helps revenue teams organize insights, track opportunities, and collaborate more effectively.
As the product evolved, its interface needed a visual refresh to simplify dense information, improve discoverability, and create a more intuitive experience across analytics, tasks, and collaboration modules.
Our mission was to redesign Gyaan.ai’s web experience with a modern, cohesive, and high-clarity visual language that simplifies complex workflows and enables faster navigation across analytics, tasks, and content.
through a consistent visual system
through clear hierarchy and spacing
through structured dashboard movement
through modular component systems
Flexible layouts designed to support analytics-heavy views without overwhelming users.
Custom illustrations enhanced visual clarity and guided users through complex revenue workflows across the platform.
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Dark mode dashboards with high-contrast visuals highlighted key opportunities and real-time analytics for sales teams.
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Color-coded forecast graphs and performance metrics supported data-driven sales decisions with clear visual hierarchy cues.
Flexible layouts designed to support analytics-heavy views without overwhelming users.
Flexible layouts designed to support analytics-heavy views without overwhelming users.
Custom illustrations enhanced visual clarity and guided users through complex revenue workflows across the platform.
Custom illustrations enhanced visual clarity and guided users through complex revenue workflows across the platform.
Dark mode dashboards with high-contrast visuals highlighted key opportunities and real-time analytics for sales teams.
Dark mode dashboards with high-contrast visuals highlighted key opportunities and real-time analytics for sales teams.
Color-coded forecast graphs and performance metrics supported data-driven sales decisions with clear visual hierarchy cues.
Color-coded forecast graphs and performance metrics supported data-driven sales decisions with clear visual hierarchy cues.
For Gyaan.ai, we simplified complex sales workflows into a cohesive, insight-led interface that drives clarity and action.
through consistent cross-platform layouts.
through aligned navigation patterns.
through distraction-free interfaces.
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A data-first dashboard combines charts, tables, and filters within a strong visual hierarchy, enabling quick scanning of opportunity metrics without cognitive overload.
Multi-column task boards organize priorities through grouped layouts, card patterns, and status indicators for at-a-glance tracking, while wireframes defined workflow structure and interaction logic before visual execution.
A modular feed design supports structured content discovery through advanced filters, consistent cards, and seamless sidebar navigation across channels.
The home workspace unifies opportunities, action items, and schedules with timelines, progress indicators, and embedded calendars for a consolidated operational view.
Gyaan.ai is a knowledge-driven sales enablement and revenue intelligence platform that helps B2B sales teams organise insights, track opportunities, and collaborate. NetBramha redesigned its web experience with a high-clarity visual language for dense, analytics-heavy workflows.
The redesign specifically targeted dark-mode dashboards with high-contrast visuals for real-time analytics, and colour-coded forecast graphs supporting fast, data-driven sales decisions - a visual language built for screen time and rapid scanning, not first-touch delight.
Revenue teams live in these dashboards for hours daily, tracking fast-changing pipeline data under time pressure, which makes scan-speed and reduced eye strain higher design priorities than the onboarding-friendliness a consumer app optimises for.
That professional-tool design bar is closer to how NetBramha approached Geojit's trading platform than to a consumer product like IAMIN - both Gyaan.ai and Geojit prioritise information density for expert daily users over simplicity for newcomers.
The platform spans analytics, task tracking, and content collaboration modules for revenue teams, requiring flexible layouts that support analytics-heavy views without overwhelming the user - a genuine design tension between showing enough data and showing too much.
That density-without-overwhelm balance is a recurring theme in NetBramha's enterprise SaaS work, also central to how Cymorg's enterprise learning dashboards and SIS's workforce management platform present operational data to professional users.
Gyaan.ai, Springer Nature Navigator, and the Google cricket experience form NetBramha's core AI-interface portfolio, spanning B2B sales intelligence, academic research discovery, and real-time motion feedback.
Each required a genuinely different interpretation of what "AI-powered UX" means in practice - there's no shared template between a sales forecast dashboard and a real-time cricket-batting feedback loop, beyond the shared discipline of making an AI system's output legible and actionable.
Beyond Gyaan.ai, NetBramha's enterprise SaaS portfolio includes Planera (construction project planning), Cymorg (enterprise training), and Yubi (B2B corporate debt) - four different B2B categories united by the same underlying skill: designing for professional operators managing complex, high-stakes workflows daily.
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