Praxilonby Bellcorp Studio
Platform

The context layer your AI agents have been missing.

Praxilon turns scattered operational data into a governed, living ontology and runs a swarm of specialised agents on top of it to monitor, explain, predict and act.

Book a technical demoRequest architecture brief
BUSINESS SIGNALSCONNECTED INTELLIGENCEIllustrativeERP & inventoryOrders · stock · suppliersMachines & sensorsCycles · runtime · qualityPOS & locationsSales · shifts · demandPOntology + AgentsContext · Evidence · ReasoningForecastsExceptionsP1P2P3Root causesQuality drift → Line 3 → Night shiftApproved actions → work orderProduction logsQuality recordsMaintenance history
Architecture

How the operating brain is built.

Illustrative example
Your systemsERPMES / SCADAPOSWMSHRMS & rosteringIoT sensorsDocuments & SOPsSpreadsheetsConnector agentsRead-only by defaultSchema discoveryChange detectionOperational OntologyEntitiesRelationshipsEventsRules & KPIsVersion historyGoverned by your domain expertsAgent SwarmOrchestratorMonitorInvestigateForecastRecommendExecuteKnowledgeYour people and systemsAlertsAnswers with evidenceForecastsApproval requestsWork orders / ticketsGovernance: access control · human approval · audit trail · runs in your infrastructure
Four layers · continuous learning

Connect. Model. Reason. Act.

01

Connect

Connector agents plug into the systems you already run. They discover schemas, detect changes and keep data in sync, without a rip-and-replace project.

Illustrative example
ERP
Machines
Documents
POS
IoT
Praxilon
02

Model

Praxilon proposes an ontology of your operations entities, relationships, events and rules. Your domain experts review, correct and approve it. Every change is versioned.

Illustrative example
SupplierOrderMachineBatchPlant 1

Proposed: Batch → Customer Order

03

Reason

Specialised agents work from the same ontology. They hand tasks to each other, cite their sources and show their reasoning, so every answer can be checked.

Illustrative example
Monitor
Investigate
Forecast

Shared ontology · cited evidence · checked reasoning

04

Act

Recommendations go to the right person for approval. Approved actions are written back into your systems with a full audit trail.

Illustrative example
Exception detected
Evidence gathered
Recommendation prepared
Awaiting manager approval
05

Learn

Outcomes and expert feedback flow back into the ontology and the agents, so the brain gets sharper with every decision.

Illustrative example
RecommendationAction takenOutcome validatedExpert feedback
Ontology lifecycle

Built by agents. Governed by your experts.

Living ontologyExpert-governedDiscoverAgents scan sources1ProposeEntities and links suggested2ReviewDomain expert approves3PublishNew version live for agents4EvolveOperational changes detected5

  • Domain-driven

    Starts from your operational entities and processes across manufacturing, F&B or healthcare, then adapts to your business.

  • Controlled

    Nothing enters the ontology without an owner and an approval.

  • Versioned

    Every definition has a history, so answers are reproducible.

Integrations

Works with the systems you already run.

ERP

Orders
Procurement
Inventory

Manufacturing

MES
SCADA / PLC
Historians

Retail & F&B

POS
Outlet operations
Commerce

People

HRMS
Rostering
Payroll

Documents

Document stores
SOPs
PDFs

Data

SQL databases
Excel / CSV
REST APIs

Don't see your system? We'll review connection options through APIs, databases or file drops. Support for your specific product, version and access method is confirmed during evaluation.

Ask your operations

Answers you can trace back to the evidence.

Ask Praxilon
Illustrative example
What will cause us to miss next week's dispatch plan?
2 agents · 3 sources · Illustrative trace
The main risks are a late raw-material delivery from Supplier B and a quality hold on Batch #4471 from Press PM-07. Prioritise the maintenance review and confirm an alternative supply before releasing the next run. Any schedule or purchase-order change needs your approval.

Supporting evidence
Dispatch plan + inventory
Batch #4471 is needed next week; material cover is 3 days
Procurement
Supplier B has missed 4 consecutive committed dates
Quality + maintenance
Quality hold follows die change; PM-07 maintenance overdue
Ask anything about your business…
Technical FAQ

For technical teams.

Read more about controls on the Security page.

Give your operations a brain.

Start with one plant, one region or one painful question. We'll connect the data, build the ontology and show you answers in weeks, not quarters.

Book a DemoTalk to Our Team