Machine variants, longer asset lives, service expectations, supplier constraints and scarce expert capacity make every product decision and field issue more expensive to resolve.
Configurations, options and engineering changes multiply the context behind every product and service decision.
Similar issues recur because service, warranty, quality and engineering evidence remain disconnected.
Complex troubleshooting often depends on a few senior technicians or product specialists.
Machine history, parts, modifications, telemetry and service evidence sit across different systems.
Service and reliability learning reaches engineering slowly, weakening the next design cycle.
Facthory relates product, asset, service, quality, supplier and expert evidence so teams and agents reason from the same lifecycle context.
Connect models, options, components, requirements, serial numbers and approved engineering changes.
Connect technical evidence, trade-offs, tests, materials and design rationale.
Connect build evidence, defects, inspections, rework, deviations and corrective learning.
Connect customer assets, operating history, modifications, parts, usage and lifecycle events.
Connect maintenance, incidents, warranty claims, troubleshooting, telemetry context and validated fixes.
Preserve assumptions, expert review, approvals, actions and outcomes as reusable memory.
Use shared operational context across engineering, reliability, service, procedures, knowledge and supply-chain decisions.
Connect requirements, technical evidence, cost, materials and field feedback around product decisions.
Investigate recurring failures with quality, maintenance, production and expert evidence.
Turn maintenance, inspection and service footage into structured evidence for expert review.
Keep service and operating procedures current, governed and reusable across teams.
Expose critical expertise concentration and service knowledge gaps before they become operational risk.
Connect supplier, material, contract and dependency evidence around sourcing and parts resilience.
The model follows each product family from engineering through manufacturing, commissioning, operation and field learning.
Connect requirements, alternatives, materials, costs and technical evidence.
Requirements
Alternatives
Materials
Rationale
Industrial equipment engineering balances performance, cost, materials, manufacturability, serviceability and reliability. Facthory supports evidence-backed comparison and technical investigation without replacing CAD, simulation, PLM or accountable engineering judgment.
Connect functional requirements, constraints, interfaces and acceptance criteria before comparing options.
Compare concepts against performance, cost, material, manufacturability, serviceability and reliability criteria.
Investigate design-to-cost and material alternatives while preserving technical constraints.
Research standards, prior art, technical literature and internal evidence around defined engineering questions.
Bring reliability, service, warranty and customer evidence back into product-development decisions.
Preserve expert-reviewed rationale, assumptions, rejected alternatives and lifecycle lessons.
Field service becomes expensive when technicians rebuild context from manuals, old tickets, machine history and phone calls. Facthory connects service evidence and expert knowledge so validated troubleshooting can be reused across the installed base.
Bring configuration, serial history, modifications, service events and relevant documents into each investigation.
Find comparable failures, symptoms, maintenance actions and validated fixes across the installed base.
Capture experienced technicians explaining diagnostics, unusual cases and proven service practices.
Turn inspection and maintenance video into timestamped evidence connected to the affected asset and service record.
Reliability teams already have defects, service records, maintenance history and condition signals. Facthory connects that evidence so recurring failure patterns can be investigated with the product and operating context around them.
Compare symptoms and failures across models, configurations, customers, suppliers, sites and operating histories.
Assemble relevant engineering, quality, maintenance, field and expert evidence around competing explanations.
Preserve approved fixes and measured recurrence so future teams can see what actually worked.
Connected operational context helps reduce repeated investigation, strengthen service delivery, improve reliability and feed field learning back into product development.
Reduce repeated research and reconnect product decisions with lifecycle evidence.
Find recurring patterns earlier and preserve validated corrective learning across equipment families.
Give technicians faster access to machine-specific evidence and reusable troubleshooting knowledge.
Reduce dependence on individual experts by preserving reviewed engineering and service knowledge.
PLM, ERP, MES, QMS, EAM, CMMS, service platforms, IoT and data systems remain authoritative. Facthory connects relevant evidence through governed enterprise integration patterns where interfaces and permissions allow.
Connect product structures, requirements, changes and engineering records through approved interfaces.
Connect materials, suppliers, orders, costs, contracts and spare-parts context.
Connect build, inspection and process evidence relevant to product and quality investigations.
Connect nonconformances, corrective actions, audits and controlled quality evidence.
Connect maintenance history, service cases, work orders, modifications and parts usage.
Connect telemetry, analytical platforms, documents, images and other governed lifecycle evidence.
Product IP, customer asset data and service records can require strict infrastructure and access controls. Facthory supports managed enterprise, customer-owned cloud, private cloud and on-premises deployment models.
Use a dedicated enterprise environment with governed identity, permissions and operational context.
Deploy Facthory into a customer-controlled cloud environment with existing enterprise policy.
Operate within a private environment aligned to internal security, data and network requirements.
Run Facthory locally where infrastructure, data or model control requires it.
Choose one recurring product or service problem where teams already spend measurable time reconstructing machine history, evidence and expert context.
Start with one repeat failure requiring configuration, service history, telemetry context, parts, similar cases and expert knowledge to investigate.
Start with a recurring design decision requiring requirements, technical evidence, cost, materials, reliability and field feedback to be reconstructed.
Why quality, maintenance and engineering problems need shared evidence, persistent context and multiplayer AI workflows rather than isolated copilots.
How Facthory turns probabilistic agent reasoning into governed industrial execution through deterministic controls, durable workflows, evidence, human authority and verification.
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.
Capabilities can include:
Findings can be linked to the supporting records, responsible teams, affected procedures, and recommended actions.
Read about Manufacturing Quality and Reliability Intelligence.
Depending on your environment and deployment, sources may include:
Connections can be established through supported integrations, APIs, secure file ingestion, or purpose-built connectors.
Explore Systems and Data Connectivity or contact us about an integration.
Experts can inspect evidence, correct assumptions, redirect agents and approve consequential findings, procedures or actions. Facthory preserves those reviews as part of the operational record.
Storage location, retention, processing region, model access, and backup arrangements depend on the agreed deployment architecture. Enterprise customers can define requirements relating to:
These requirements are reviewed during solution design and documented as part of the deployment.
For a detailed assessment, contact our enterprise team.
Depending on the project requirements, Facthory can be deployed through:
Private deployments can provide greater control over networking, data location, model hosting, identity, monitoring, and integration with internal systems.
Read about Private Cloud and On-Premises Deployment or book a deployment assessment.
Connect engineering, manufacturing, service and reliability evidence so each reviewed outcome improves the next product decision and field investigation.
