RigMind AI: Industrial operations intelligence
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Industrial operations intelligence

RigMind AI

An operations-intelligence layer unifying fleet health, failure risk, maintenance and inventory across drilling assets.

AutonomousPlatformResearchInfrastructure

Built around the hard part

The constraint shaped the intelligence.

The difficult problem

Maintenance, procurement and operating data were separated across enterprise systems and fleet locations.

The intelligence built

A unified asset model supports health scoring, remaining-useful-life forecasts, root-cause analysis and grounded answers.

How the system works.

The model is one layer. The value comes from connecting inputs, intelligence and production action as one accountable system.

Fleet data model

Acquire and structure the operating signal.

Risk and survival engine

Transform it through the model, rules and control layer.

Intelligence layer

Deliver a decision, artifact or action into production.

Where it runs

Command-center experience designed to sit across established industrial systems.

What it changes

Operators move from fragmented records to one ranked view of fleet risk.

Production stack

Next.jsTypeScriptSurvival modelsLLM copilotStatic export

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