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How Facthory is being designed as a sovereign, resilient enterprise AI platform with control-plane/data-plane separation, BYOC, private deployment, zonal resilience, governed agents, event-driven execution and production-grade release engineering.
Why quality, maintenance and engineering problems need shared evidence, persistent context and multiplayer AI workflows rather than isolated copilots.
Why manufacturing knowledge loss is a measurable operational risk, and how multiplayer AI can help capture, validate and transfer expertise before critical know-how disappears.
Manufacturing AI needs more than enterprise search and chat. It needs shared context across assets, processes, history, evidence, people and agents.
How Facthory turns probabilistic agent reasoning into governed industrial execution through deterministic controls, durable workflows, evidence, human authority and verification.
Why connected data is not enough, and how a living operational model creates reusable context for people, AI agents and manufacturing decisions.
How Facthory turns reviewed work into versioned, scoped agent skills using tenant isolation, held-out evaluation, human publication, canary releases, rollback and independent runtime authorization.
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