How ForgeOS Works

Because we're not starting from scratch—and we're not guessing. ForgeOS is built on established manufacturing standards: • ISA-95 — The international standard for manufacturing operations. Our data models, workflows, and terminology follow ISA-95 structure. When you say "work center" or "production order," ForgeOS knows exactly what that means and how it connects to everything else. • MESA Core Principles — We implement the Manufacturing Enterprise Solutions Association framework. Production management, quality, maintenance, traceability—these aren't features we invented. They're industry-validated patterns we've encoded. Under the hood, ForgeOS uses a Knowledge Graph that maps relationships between every manufacturing concept—products, processes, equipment, quality requirements, compliance rules. When you describe a feature, our Ranking RAG (Retrieval-Augmented Generation) searches this graph to find the most relevant patterns, standards, and existing structures in YOUR system. The AI isn't improvising. It's assembling proven components based on 30+ years of manufacturing best practices, customized to your context.

You review everything before it goes live. ForgeOS shows you exactly what it built—screens, data structures, logic—and you approve or refine. If it's not right, describe what needs to change. Iteration takes minutes, not months. And you're never deploying something you haven't seen working.

No. ForgeOS is designed for operations and engineering teams. If you can describe your process, you can build features. That said, IT is typically involved in initial integration (connecting to your systems) and may want oversight on security/compliance. But day-to-day feature building? That's your production team.

ForgeOS is built on manufacturing industry standards, not proprietary frameworks: • ISA-95 / IEC 62264 — Enterprise-to-shop-floor integration model. Our hierarchy (Enterprise → Site → Area → Line → Work Center → Equipment) follows ISA-95 exactly. • ISA-88 — Batch control standards for process manufacturing. • MESA Model — Operations management framework covering production, quality, maintenance, inventory, and labor. • OPC-UA / MQTT — Industrial communication protocols for equipment connectivity. Industry-specific compliance: • IATF 16949 — Automotive quality management • 21 CFR Part 11 — FDA electronic records • AS9100 — Aerospace quality management This isn't marketing—it's architecture. When your auditor asks "how does this map to ISA-95?" you have a real answer.

Your data is yours. Full export capability, standard formats, no lock-in. The features you build run on standard web technologies. We'd obviously prefer you stay, but you're never held hostage.

Yes. That's the whole point of the demo. We connect to your data (or a representative sample), you describe a feature you actually need, and you watch us build it. If it doesn't work for you, no harm. If it does—well, that's usually when people stop the demo and ask about contracts.

Simple annual subscription. Everything you need is included: • Unlimited users, sites, and AI-generated features • All platform capabilities • Standard onboarding & training • Email/chat support • 100GB storage • Cloud deployment Optional add-ons (priced separately): Professional services, FDA/GxP validation packages, on-premise or air-gapped deployment, dedicated success manager, 24/7 phone support, additional storage, and custom integrations (SAP, etc.). No per-feature fees. No surprise costs. The price we quote is the price you pay.

Because most "AI-powered" manufacturing software bolted ChatGPT onto a 20-year-old MES and called it innovation. ForgeOS was built AI-native from day one: • Knowledge Graph — Every manufacturing concept (products, processes, equipment, quality rules) is connected in a semantic graph. The AI understands relationships, not just keywords. • Ranking RAG — When you ask a question or describe a feature, ForgeOS retrieves the most relevant context from your data, industry standards, and manufacturing best practices—then generates a response grounded in that context. No hallucinations about your plant. • Domain-Trained Agents — Our AI agents are trained on manufacturing operations, not general knowledge. They know what a control plan is, what PPAP means, how SPC works. The result: AI that actually understands manufacturing, not AI that sounds confident while getting the details wrong.