ORVIXLABSPrivate AI systems
// SOLUTION

AI for Oil & Gas and industrial operations

Read-only layer over SCADA, historians and telemetry to discover correlations, challenge alternative causes and verify hypotheses before recommending an action to the operator.

SYSTEM CONTEXT PEOPLE ORVIXLABS LAYERORVIXLABS

// SOLUTION ARCHITECTURE
CONNECT WHAT ALREADY WORKS · ADD THE INTELLIGENCE THAT IS MISSING SCADAHISTORIANTELEMETRY CASANDRA · METIS · CERBERUSINTEGRATE · COORDINATEAUTOMATE · TRACEwithout replacing systems that still work HYPOTHESESEVIDENCEOPERATOR measure → learn → adjust

// USE CASES
01Alarm and signal correlation
02Assisted diagnosis
03Incident investigation
04Control-room advisory

We do not replace SCADA or PLCs

In critical industrial operations, the first condition is not to introduce a new dependency inside the control loop. The OrvixLabs layer starts read-only over historians, gateways, OPC-UA or available APIs. Sensors, PLC/RTU and SCADA continue operating as they do today; if the intelligence layer stops, industrial control continues.

Three responsibilities, three engines

CASANDRA finds patterns, correlations and candidates across multiple signals. METIS forces alternative explanations and tests that can distinguish them. CERBERUS verifies which hypothesis survives the evidence, what contradicts it and what data is missing. No engine concentrates discovery and certification.

From isolated alarms to verifiable hypotheses

Pressure, flow, temperature, vibration, equipment states and events can be analyzed as a whole. The output is not “AI says it is a pump”: it is a hypothesis with supporting signals, rival explanations, contradictions and observations that could discriminate between them.

Shadow mode and baseline

Before influencing operational decisions, the system can run in parallel and compare its hypotheses against known incidents, human diagnoses and real outcomes. Detection time, false alarms, missing information and explainability are measured against a baseline.

The operator keeps the decision

The first phase is advisory. The control room receives prioritized hypotheses, evidence, uncertainty and recommendations. A suggestion does not become a physical action merely because it came from a model or a group of engines.

Design for failure of the intelligence layer itself

Gateways, networks, models and sources can fail. The system must distinguish stale from current telemetry, declare loss of coverage and degrade safely. Missing data is not completed through silent inference.

Automation only after it is demonstrated

A function can evolve from observation to HITL and eventually to bounded partial automation. Each step requires a baseline, metrics, failure tests, explicit permissions and a rollback path.

Beyond Oil & Gas

The same architecture can be used in energy, mining, industrial maintenance and process plants. Signals, catalogs and authority boundaries change; the separation between discovery, adversarial challenge, verification and human decision remains.

// FAQ

Frequently asked questions

Does OrvixLabs replace SCADA, PLCs or RTUs?+

No. The first architecture is read-only and sits outside the critical loop. Control systems continue operating if the intelligence layer is unavailable.

Can AI automatically actuate an industrial plant?+

Not initially. The first phase is advisory. Any later automation is bounded, measured, authorized and designed with a fallback.

What do CASANDRA, METIS and CERBERUS contribute?+

CASANDRA discovers patterns and hypotheses; METIS produces rival explanations and discriminating tests; CERBERUS verifies what evidence supports and what remains missing.

What data does it need?+

It depends on the case: historical variables, events, equipment states, alarms, procedures and operational context. A bounded scope is defined before integration.

How can value be tested without risking operations?+

Through shadow or read-only mode, a prior baseline, known cases, time and diagnostic-quality metrics, and failure tests before authority is expanded.

// ORVIXLABS

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

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