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AI infrastructure is technically complex by nature - but complexity is not an excuse for a confusing interface. The challenge was designing a platform that developers could navigate with confidence and business users could understand without a technical background.
Two audiences, one product, very different mental models. The design had to serve both without compromising for either.
The design focused on one thing above all: making technical information feel manageable. That meant clear hierarchy, consistent component patterns, and a visual system that signals reliability - not flashiness.
Model selection, generative tools, pricing, and usage tracking were each designed as distinct but connected experiences. A developer browsing models needs different affordances than a product manager reviewing costs - the layout and information density shifts accordingly, without the underlying system changing.
The visual direction was deliberately restrained: dark, structured, data-forward. Trust in an AI infrastructure product isn't built through aesthetics - it's built through clarity and consistency, every time a user opens the dashboard.
Explore & Use AI Models
Discover, test, and deploy multiple AI models in one place - no additional setup, no switching between tools.
Built-in Generative Tools
Text, image, and video generation through workflows designed to be fast and low-friction, regardless of technical background.
Diverse & Updated Model Library
A continuously expanding library of the latest models - so teams always have access to what they actually need, not just what was available at launch.
Transparent Pricing & Usage
Real-time monitoring and clear usage tracking built into the experience - so cost control is part of the workflow, not an afterthought.
