# IntelFactor ## IntelFactor ### Edge-first defect visibility for real factory environments IntelFactor is a manufacturing intelligence platform designed to deliver real-time defect visibility and inspection outcomes directly on the factory floor. The system operates at the edge, close to production processes, and produces structured, auditable inspection results that can be reviewed, analyzed, and trusted over time. Cloud services enhance visibility and analytics, but production continuity does not depend on them. ### What IntelFactor is built to do IntelFactor focuses on a narrow, critical problem: Knowing what is actually happening in production, as it happens. It does this by: * Observing live production processes * Producing consistent inspection outcomes * Capturing evidence for traceability * Providing visibility without disrupting operations The platform is designed for environments where latency, uptime, and operational safety matter. ### What’s guaranteed (at a system level) * **Local continuity**\ The inspection loop runs on-site. It does not require internet access. * **Evidence-backed outcomes**\ Outcomes are traceable to structured artifacts and model versioning. * **Safe degradation**\ Optional features can drop. Outcomes and metadata must continue. * **No factory control**\ IntelFactor can recommend actions. It does not execute them. ### Designed for the realities of manufacturing Manufacturing environments are noisy, constrained, and unforgiving. IntelFactor is built with those constraints in mind. * **Edge-first execution**\ Inspection outcomes are produced locally, close to the physical process. * **Cloud-optional architecture**\ Loss of cloud connectivity does not halt inspections. * **Evidence-driven outcomes**\ Inspection results are traceable to structured evidence artifacts. * **Operational safety**\ The system prioritizes continuity and predictability under constraint. ### What IntelFactor is not To avoid confusion, IntelFactor is not: * A general-purpose analytics platform * A factory control system * A replacement for ERP or MES * A cloud-only monitoring tool IntelFactor complements existing systems by providing ground-truth inspection visibility where it is hardest to obtain. ### Who this documentation is for This documentation is intended for: * Manufacturing and quality leaders evaluating IntelFactor * Technical reviewers assessing architectural boundaries * Security and compliance stakeholders It describes system behavior, responsibilities, and guarantees, not internal implementation details. ### How to use this documentation * Start with [Deployment overview](/doc/home/start-here/deployment-overview.md) and [Edge-native architecture (three-zone model)](/doc/home/architecture/edge-native-architecture-three-zone-model.md). * Review [Edge pipeline](/doc/home/edge-pipeline/edge-pipeline-overview.md) and [Evidence & retention policy](/doc/home/edge-pipeline/evidence-and-retention-policy.md). * Validate operational reality via [Safe degradation (failure hierarchy)](/doc/home/reliability-and-operations/safe-degradation-failure-hierarchy.md) and [Acceptance tests & rollout gates](/doc/home/validation/acceptance-tests-and-rollout-gates.md). * For security review, start at [Security model](/doc/home/security/security-overview.md). ### Documentation boundaries This documentation covers system-level guarantees and evaluation gates. It intentionally avoids site-specific runbooks and internal implementation details. ### Getting started If you are evaluating IntelFactor or would like guidance specific to your environment, contact the IntelFactor team. This documentation provides the conceptual foundation for those conversations. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://intelfactor.gitbook.io/doc/home/readme.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.