ORISTRAT AI / ENTERPRISE INTELLIGENCE

Make enterprise data, processes, and experienceunderstandable and actionable by AI

Oristrat AI uses LingNex OS to connect existing business systems and data, turning operating challenges into traceable, reviewable, and executable intelligent applications.

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Explore Oristrat
01Industry solutions

Turn real operating problems into solutions that run.

Start with industry objects and real workflows, connect existing systems, and build intelligence that operates within explicit permissions, evidence, and approval boundaries.

An engineer inspecting a precision metal component beside a modern CNC machining center
Production and quality orchestration01
01

Precision Machining

Run orders, operations, quality, and delivery on one connected operating chain.

Connect ERP, production plans, shop-floor reporting, and inspection records to surface delays and exceptions with evidence ready for approval.

OrderOperationQualityDelivery
Discuss precision machining
An engineer checking the finish of a wood cabinet panel on a modern furniture production line
Material readiness and flexible production02
02

Home & Furniture

Turn orders, BOMs, inventory, and inbound purchasing into explainable readiness decisions.

Connect design, order breakdown, materials, production, and delivery to expose shortages and delay risks with a traceable business definition.

OrderBOMInventoryReadiness
Discuss home and furniture
A hospital operations lead and clinician coordinating resources in a modern medical command center
Hospital operations and cost governance03
03

Healthcare

Make every cost, resource, and service-volume number traceable and reproducible.

Connect activity, resource consumption, cost rules, and approvals to give hospital operations a shared definition, evidence trail, and secure boundary.

ServiceResourceCostApproval
Discuss healthcare
A financial risk analyst reviewing multiple displays in a secure modern control room
Risk intelligence and decision support04
04

Financial Services

Identify risk inside explicit permissions and evidence chains, not behind a black-box score.

Place accounts, transactions, rules, and historical relationships in one operating context for reviewable risk assessment and decision support.

AccountTransactionRuleRisk
Discuss financial services
A logistics planner coordinating inventory and outbound operations in a large automated distribution center
Inventory, inbound, and fulfillment05
05

Supply Chain

See shortages, excess stock, and fulfillment risk before they reach the customer.

Relate demand, inventory, inbound purchasing, production, and logistics to locate each exception by material, order, node, and required action.

DemandInventoryInboundFulfillment
Discuss supply chain
A customer success team collaborating on a complex account issue in a modern enterprise service center
Customer insight and service orchestration06
06

Customer Relations

Connect customers, contracts, service, and every interaction into an actionable relationship view.

Unify customer master data, interaction history, service tickets, and fulfillment facts so teams can understand context, detect risk, and coordinate the next action.

CustomerContractTouchpointAction
Discuss customer relations
0106
02Our Software

Turn enterprise context into software built to run.

From the enterprise operating system and engineering engine to ontology, application tooling, and runtime, five connected systems carry real business context into software.

Five systems · One operating model
/0.1

Run sales, procurement, finance, manufacturing, and operations as one connected enterprise.

Enterprise Operating System
LingNex

LingNex OS

/0.2

Engineer, validate, and evolve enterprise software from real business specifications.

MSCE Software Engineering Engine
Mortise AI

Mortise AI

/0.3

Connect systems, model operations, compose workflows, and build ontology-driven software.

Ontology-native Application Platform
Oristrat Works

Works

0102
02Our Software

Turn enterprise context into software built to run.

From the enterprise operating system and engineering engine to ontology, application tooling, and runtime, five connected systems carry real business context into software.

/0.1
LingNex

LingNex OS

Run sales, procurement, finance, manufacturing, and operations as one connected enterprise.

Enterprise Operating System
A workstation running the LingNex OS enterprise operating system in a modern manufacturing operations center
/0.2
Mortise AI

Mortise AI

Engineer, validate, and evolve enterprise software from real business specifications.

MSCE Software Engineering Engine
A Mortise AI software engineering workstation showing business specifications, component architecture, and validation flows
/0.3
Oristrat Works

Works

Connect systems, model operations, compose workflows, and build ontology-driven software.

Ontology-native Application Platform
An Oristrat Works workstation showing connected enterprise systems, operating models, and workflow orchestration
/0.4
Oristrat Ontology

Ontology

Give every person, system, and agent a shared model of the enterprise.

Shared Enterprise Operating Model
A shared enterprise ontology connecting customers, orders, equipment, materials, and locations
/0.5
Oristrat Runtime

Runtime

Deploy, operate, observe, and govern critical software across private cloud, edge, and enterprise environments.

Enterprise Runtime
An operations center governing software across private cloud, edge, and industrial environments
/ALL
Oristrat AI

One Model

Keep all five systems working from the same business context.

Five systems · One operating model
0102
03Anonymous case evidence

Real problems, explained with verifiable facts

All cases are anonymous and contain only confirmed problems, scope, facts, and project status.

Case / 01Phase one in progress
Verifiable factFrontline reporting requires only 3 fields
Industry illustration, not a project site
Machinery manufacturing

From 449 worksheets to lightweight shop-floor execution

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.
Case / 02Anonymous case
Verifiable factRead-only access with no intrusion and no ledger changes
Industry illustration, not a project site
Furniture manufacturing

Making orders, inventory, and business definitions understand each other

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.

Turn your operating problem into a testable AI solution

Share the problem and current systems. We will test the next step with facts.

info@oristrat.ai