FactorySOS

FactorySOS cuts machine downtime by pairing AI-powered fault diagnosis with real-time dispatch management. When equipment breaks, technicians snap a photo or describe symptoms and get back a structured diagnosis—severity score, root cause, safety warnings, repair steps, and parts list—with an auto-created ticket. The one-tap Emergency SOS button and kanban dispatch board ensure critical issues reach a technician instantly.

Designed for maintenance teams at manufacturing facilities of any size. Track active incidents, diagnoses, and response times on a dark industrial dashboard. Three subscription tiers scale from basic diagnostics to unlimited usage with custom integrations.

Value Proposition

FactorySOS slashes machine downtime on factory floors by combining AI-powered fault diagnosis (NEMESIS-DIAG) with a real-time dispatch system. A technician snaps a photo or describes symptoms and gets back a structured diagnosis — severity score, root cause, safety warnings, step-by-step repair instructions, and parts list — with an auto-created ticket. The one-tap Emergency SOS and kanban dispatch board ensure critical issues never sit idle.

Target Customer

Maintenance technicians, plant supervisors, and safety/dispatch personnel at manufacturing facilities — from small factories to large industrial plants. Anyone whose job depends on keeping machines running and responding fast when they break.

Revenue Model

Three-tier SaaS subscription:

Starter — basic dashboard, limited diagnoses/month, standard dispatch

lead

Team Lead

Team management, task planning, delegation, and monitoring

Backend + AI Engineer

Designs and builds the entire backend for FactorySOS: PostgreSQL schema, server API routes, Claude vision integration for NEMESIS-DIAG fault diagnosis, ticket/dispatch system logic, authentication, Stripe billing. Builds server functions using TanStack Start's server framework. Sets up the Neon database.

Frontend Engineer

Builds all frontend UI for FactorySOS — an industrial, dark-themed maintenance platform. Pages include: Dashboard (live KPI cards, incident table), AI Diagnosis (photo upload + symptom input form, diagnosis results display), Dispatch Center (kanban board with drag-and-drop), Emergency SOS button, Analytics (charts, breakdowns), and Billing/Profile pages. Dark industrial design language with Tailwind CSS.

Deploy the backend: PostgreSQL database (Neon), server API, Claude vision integration for fault diagnosis, Stripe billing
Deploy the frontend: Dashboard, AI Diagnosis tool, Dispatch kanban, Emergency SOS, Analytics, Billing, and Profile pages
Configure Claude API key for NEMESIS-DIAG fault analysis
Set up Stripe for billing on Starter/Professional/Enterprise plans
Create user roles: Technician, Supervisor, Dispatch, Engineer, Safety, Admin
No external MCPs required

Overview

Mission

Value Proposition

Target Customer

Revenue Model

KPIs

Feature Specification

Dashboard

AI Fault Diagnosis (NEMESIS-DIAG)

Dispatch Center

Emergency SOS

Analytics

Billing

Profile

Global / Shell

Design Language

The team

Setup