ERP, MES, QMS and maintenance systems each hold part of the truth. The missing layer is shared operational context across systems, people, evidence and decisions.
Root-cause evidence sits across systems, documents, video and people.
Critical troubleshooting knowledge depends on a small number of experienced people.
Plants repeatedly solve problems another team or site has already encountered.
Approved guidance falls behind the way work is actually performed.
Generic copilots retrieve content but miss operational relationships, history and constraints.
Facthory models the relationships around manufacturing work so people and agents reason over the operation, not isolated files.
Connect products, materials, machines, lines and sites around operational work.
Connect process steps, SOPs, standards and actual execution.
Connect defects, failures, maintenance, corrective actions and measured outcomes.
Map experts, roles, skills and validated frontline knowledge.
Connect design decisions, changes, suppliers and operational dependencies.
Preserve evidence, approvals, actions and results as reusable memory.
Use the same operational context across quality, reliability, engineering, workforce, procedures, knowledge and supply-chain decisions.
Capture critical know-how before turnover, retirement or site change turns expertise into operational risk.
Investigate recurring defects and failures with connected quality, maintenance, production and expert evidence.
Turn real operational evidence into governed procedures and standardized work across teams and sites.
Connect technical evidence, manufacturing feedback and prior decisions to accelerate engineering work.
Identify readiness gaps and build learning from current, approved operational knowledge.
Connect supplier, contract, quality and dependency evidence for better sourcing and resilience decisions.
Each function sees the same operational evidence through the context that matters to its work.
Connect production signals, procedures and outcomes to investigate delays, variants and recurring issues.
Process variants
Bottlenecks
Shift handovers
Improvement actions
Facthory works across the manufacturing technology already in place, connecting authoritative records with documents, telemetry, video and human knowledge.
Connect ERP, MES and execution records to operational context.
Connect QMS, CMMS and asset-management evidence around failures and actions.
Connect PLM, CAD and technical files with operational feedback.
Connect historians, lakehouses, IoT signals and analytical data.
Connect SOPs, manuals, documents, email and collaboration knowledge.
Connect operational video, images, voice and expert explanations.
Operational video and expert demonstrations reveal how work is actually performed. Facthory structures that evidence and connects it to the relevant process, asset, procedure and outcome.
Extract task sequences, tools, equipment, explanations and timestamps from operational footage.
Compare actual execution with approved guidance and surface relevant deviations or unusual events.
Turn validated demonstrations and expert explanations into searchable operational memory.
Hard manufacturing problems span systems and teams. Durable agents work from shared context, preserve evidence and let experts steer, review and approve consequential decisions.
Assembles failure evidence and tests competing explanations across sources.
Investigates production, quality and maintenance data against the operational question.
Researches technical evidence, standards, alternatives and prior engineering decisions.
Tracks expert questions, approvals, actions, handoffs and follow-up evidence.
Manufacturing increasingly combines people, AI agents, enterprise systems and machines. Facthory gives each actor the governed context required to work coherently.
Provide judgment, accountability, practical experience and expert authority.
Research, analyze, coordinate and execute bounded digital work.
Maintain authoritative records, workflows, permissions and operational events.
Observe and perform physical work within operational constraints.
Start with one measurable operational problem. Every validated investigation improves the shared model for the next problem.
Define the operational question, accountable owner, baseline and success measure.
Business problem
Owner
Baseline
Success metric
Facthory supports governed enterprise deployment while preserving customer control over identity, data, models and consequential actions.
Support managed, customer-owned cloud, private-cloud and on-premises deployment models.
Respect enterprise identity, source permissions and role-based access.
Keep data residency, private networking and model strategy under enterprise control.
Preserve provenance, agent activity, approvals and audit evidence around consequential work.
A first deployment should solve a measurable operational problem, not attempt to transform the entire factory at once.
Choose one recurring defect, knowledge-risk area, SOP problem, engineering question or maintenance bottleneck with measurable impact.
Validate the workflow with accountable experts, measure the outcome, then expand the proven pattern across sites and teams.
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 probabilistic agent reasoning into governed industrial execution through deterministic controls, durable workflows, evidence, human authority and verification.
Manufacturing AI needs more than enterprise search and chat. It needs shared context across assets, processes, history, evidence, people and agents.
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.
Translation can be combined with expert validation and governed publication for safety- or quality-critical content.
Connect operational data, frontline expertise and durable AI agents in one shared model, then turn every validated investigation into reusable manufacturing knowledge.
