Architecture at a Glance
%%{init: {'theme': 'default', 'themeVariables': { 'background': '#ffffff', 'canvasBackground': '#ffffff', 'primaryColor': '#fff' }}}%%
flowchart TD
subgraph DesignLayer [Design & Mobile]
figmaDesign[Figma Design System]
flutterApp[Flutter Mobile App]
end
subgraph WebFrontend [Next.js Frontend]
nextJS[Next.js Framework]
parallelRoutes[Parallel Routing Slots]
uiComponents[Ant Design & Tailwind CSS]
end
subgraph LogicLayer [Type-Safe API & AI]
trpc[tRPC API]
zodValidation[Zod Validation]
langGraph[LangGraph AI Agents]
end
subgraph DataLayer [Persistence]
prismaORM[Prisma ORM]
postgreSQL[PostgreSQL Database]
end
figmaDesign --> nextJS
nextJS --- parallelRoutes
nextJS --- uiComponents
nextJS <--> trpc
flutterApp <--> trpc
trpc --- zodValidation
trpc <--> langGraph
trpc <--> prismaORM
prismaORM <--> postgreSQL
nextJS & trpc --> vercelHost[Vercel Deployment]
The Problem
Industrial operations often struggle with fragmented equipment data and complex workflows, leading to information overload for technicians and engineers alike.
The Solution
We integrated state-machine AI agents and a role-based modular UI to deliver high-fidelity asset insights. By combining predictive logic with a streamlined, industrial-grade design system, we transformed dense operational datasets into intuitive, context-aware dashboards.
The Impact
This platform eliminates cognitive friction, enabling teams to act on critical maintenance needs with precision while maintaining enterprise-grade safety and system-wide data integrity.
