Factory context is fragmented
Critical information is split across historians, MES, QMS, CMMS, ERP, spreadsheets, dashboards, and local expertise.

Open Factory Initiative helps manufacturers move beyond disconnected dashboards and black-box AI by building transparent, governed, and extensible factory intelligence infrastructure.
Manufacturing teams are under pressure to use AI responsibly, but the systems that describe factory reality are often disconnected, vendor-bound, difficult to audit, or separated from the workflows where decisions are made. Open Factory Initiative exists to create a shared open foundation for trustworthy factory intelligence.
Critical information is split across historians, MES, QMS, CMMS, ERP, spreadsheets, dashboards, and local expertise.
Manufacturers need transparent reasoning, source traceability, human review, approval paths, auditability, and accountability before AI-assisted workflows can be trusted.
Teams need extensible software that can connect to existing systems without creating another closed black box.
OFI is being developed around open-source governance, grant-readiness, responsible adoption, and transparent reporting as the organization matures.
Read the funder briefOFI is designed for practical collaboration across factory operations, open-source engineering, public-interest funding, and research.
Explore practical use cases and help shape site-specific onboarding for process drift, deviation investigation, historian context, validation support, and governed AI-assisted review.
Explore use casesReview the roadmap, contribution guide, development model, and first MVP workflow.
Start contributingEvaluate the project's public-benefit mission, open-source governance, security posture, roadmap, and measurable milestones.
View funder briefEngage through discovery interviews, advisory input, pilot feedback, letters of collaboration, and joint research.
Partner with OFIFactory Intelligence Platform is an early-stage open-source Factory Intelligence Layer for connecting manufacturing systems, contextualizing operational data, detecting process drift, and supporting human-reviewed AI-assisted workflows.
Future roadmap work includes local-first AI, site-specific onboarding, RAG, SLM/LLM evaluation, and model governance for governed, human-reviewed decision support using synthetic or permissioned data.
Learn about the projectTransparent operational context
Governed AI workflows
Human-reviewed decision support
Interoperable factory systems
Auditable recommendations
Open-source collaboration
Explore the public frameworks, architecture notes, roadmap, security planning, and use cases behind the Open Factory Initiative.
Technical articles, validation-readiness frameworks, architecture notes, and implementation patterns.
View resourceProject phases for Process Sentinel, local-first AI, Site AI Package/RAG work, SLM/LLM evaluation, model governance, and ecosystem success measures.
View resourceSecurity philosophy, supply-chain planning, disclosure direction, and responsible release practices.
View resourcePractical scenarios for process drift, deviation support, historian context, validation impact, and human-reviewed troubleshooting.
View resourceOFI is being built around nonprofit public benefit, open governance, transparent project stewardship, security-aware development, validation-ready documentation, and practical collaboration with manufacturers, researchers, funders, and technical contributors.
Open-source licensing and contribution practices
Governance designed to protect the nonprofit mission
Separation between community stewardship and commercial interests
Security and software supply-chain documentation
Responsible AI boundaries and human accountability
Risk-based assurance support for adopting organizations
Contribute code, documentation, manufacturing use cases, validation concepts, cybersecurity review, research collaboration, or mission-aligned support.