Machinery manufacturing
Clarify orders, planning, shop-floor reporting, quality, and shipping status.
Make enterprise data, processes, and experience
understandable and actionable by AI
Yuance AI uses LingNex OS to connect existing business systems and data, turning operating challenges into traceable, reviewable, and executable intelligent applications.
Confirmed facts
01LingNex OS 1.0.0 released
0218 business modules across 5 domains
03Proprietary agent engine and enterprise ontology
04Private deployment for foundation models
Start with operating problems, not a list of AI features
Identify the issue affecting business outcomes first, then connect the data, workflows, and intelligence it requires.
Static business evidence
Which orders may be delayed, and at which operation?
Connect orders, plans, shop-floor reporting, quality inspection, and shipping status to locate blockers, affected work, and priority tasks.
Business facts required
Sales ordersProduction planOperation reportsQuality recordsShipping status
Structured system output
Explore manufacturing solutions- 01Delay risk
- Identify at-risk orders and their expected impact
- 02Blocked operation
- Locate unfinished, pending-inspection, or abnormal steps
- 03Impact scope
- Connect customer orders, due dates, and downstream tasks
- 04Priority work
- Prepare recommended actions for confirmation
One core product for industry solutions and enterprise delivery
LingNex OS is the product foundation. Industry solutions define the problem. Private deployment and FDE define how it lands safely.
Core product
LingNex OS · Enterprise AI-native operating system
Connect existing systems and data in one business context to ask about operations, complete work, build systems, and keep improving.
Chat · AskWork · ActBuild · CreateEvolve · Improve
Initial industry solutions01 02
Home and furniture
Unify cross-system definitions and identify readiness, progress, and inventory risk.
Enterprise delivery safeguards01 02
Private foundation-model deployment
Keep enterprise control of data, compute, models, and cost.
Deep FDE collaboration
Turn operating experience into specs, applications, workflows, and agents.
From business facts to explainable, approved action
Systems of record continue to provide business facts while LingNex OS understands, coordinates, and executes intelligently.
- 01
Read-only connection to existing systems
Retrieve facts from ERP, CRM, OA, MES, WMS, SRM, files, or APIs while source systems remain the system of record.
- 02
Build business objects and relationships
Unify customers, suppliers, materials, orders, and inventory into an understandable and permission-aware business context.
- 03
Agent analysis and judgment
Rules, models, and agents use context to produce risk judgments, evidence, and candidate plans.
- 04
Controlled execution after approval
Critical actions pass permission checks and human confirmation before writing back or triggering a workflow.
- 05
Audited feedback and continuous evolution
Preserve sources, decisions, approvals, actions, and outcomes so enterprise experience continues to compound.
Real problems, explained with verifiable facts
All cases are anonymous and contain only confirmed problems, scope, facts, and project status.
From 449 worksheets to lightweight shop-floor execution
Verifiable factFrontline reporting requires only 3 fields
- Business problem
- An annual production workbook contains 449 worksheets, making order-to-shipment status difficult to view consistently.
- Solution boundary
- Extend planning, reporting, WIP, and quality capabilities on the existing ERP instead of introducing a heavyweight MES.
- Current status
- Planning complete and phase one in progress. Outcome data will be added after go-live validation.
Making orders, inventory, and business definitions understand each other
Verifiable factRead-only access with no intrusion and no ledger changes
- Business problem
- Cross-system sources and field definitions are inconsistent, requiring manual judgment of order progress, inventory risk, and material readiness.
- Solution boundary
- Use read-only EAS synchronization to establish object dictionaries, relationships, and permissions for coordinated analysis.
- Current status
- Presented anonymously from approved materials. Outcome data will be added after measured validation.
Understanding the business also means respecting its boundaries
Every step has explicit controls, from data location and user permissions to action approval.
Data stays in-domain
Deploy within enterprise-owned compute and network environments.
Inherited permissions
Queries and actions follow user, role, and business-object permissions.
Human confirmation
Writes, publishing, and business-critical actions require confirmation or approval.
Sandboxed execution
Builds, validation, and high-risk tasks run in controlled environments.
End-to-end audit
Record sources, evidence, approvals, actions, and outcomes.
Non-invasive connection
Prefer read-only sync, APIs, and connectors without replacing source ledgers.
Deep FDE collaboration path
Turn business understanding into continuously operated system capability
- 01Understand the business
- 02Define business specs
- 03Build intelligent systems
- 04Connect the enterprise environment
- 05Operate and improve
Turn your operating problem into a testable AI solution
Tell us your industry, scenario, current systems, and deployment preference. We will map the facts, implementation boundaries, and acceptance criteria with you.
info@oristrat.ai