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ORVIXLABSPrivate AI systems
// INDUSTRY

Industry, Energy & Critical Operations

Intelligence for incidents, maintenance and critical operations integrated with telemetry, documentation and existing industrial systems.

Industry, Energy & Critical OperationsConceptual diagram: Telemetry, Trend, Operation.OperationTelemetryTrend

// APPLICATION ARCHITECTURE
APPLICATION ARCHITECTURE TELEMETRYPROCEDURESINCIDENTS ARGOSCASANDRACERBERUScapabilities selected for the problemevidence · limits · traceability CAUSE / HYPOTHESISOPERATOR verify → learn → adjust

// USE CASES
01incident investigation
02root cause analysis
03evidence-based maintenance
04procedure verification

When an anomaly does not live in one sensor

Plants, energy and critical operations produce telemetry, work orders, alarms, procedures, maintenance records and incidents. Looking at each system alone can hide temporal and operational relationships that only appear when a common context is built.

ARGOS for the environment, CERBERUS for evidence

ARGOS can correlate physical signals and operational state. CERBERUS can review documentation, procedures and hypotheses against evidence. METIS can design tests to distinguish rival causes. Composition follows the problem, not a prebuilt package.

Failure expected, not exceptional

A sensor may go blind. A network may fail. An operator may make a mistake. A model may misclassify. Architecture defines degradation, redundancy, recovery, rollback and escalation before the incident happens.

Modernize without replacing SCADA, ERP or CMMS

The intelligence layer can integrate with existing asset and maintenance systems. When those systems remain authoritative, they are not duplicated; they are queried and coordinated.

Verifiable operation

An important recommendation retains the signal, document or rule that produced it. The system should not merely say “anomaly detected”; it should let operators reconstruct why an incident was opened and what happened next.

// ORVIXLABS

The architecture is defined around the operation, its data, constraints and verification requirements.

Discuss an architecture