MachineIQ

Purpose

Equipment breakdown work turns on questions that are technical before they are commercial: what this machine is, how it fails, what the failure costs, and what evidence supports each answer. MachineIQ is an attempt to hold those answers as structured records instead of as accumulated individual judgement.

The intended operator is a technically trained analyst, not a general audience.

Operating model

The authoritative objects are equipment profiles and loss scenarios. A profile describes what a machine is and how it is configured; a scenario describes a way it fails and what follows from that failure. Neither is complete without the evidence that supports it, so evidence is part of the record rather than an attachment to it.

The system is designed to distinguish what is measured, what is inferred, and what is unknown. An unknown that is labelled is workable; an unknown that has been quietly filled in is not.

Practices

Model is the primary practice. The value of the system is the explicitness of the equipment and loss-scenario representation, not the interface over it.

Observe governs how state enters: collected evidence rather than assumed configuration.

Protect is about boundaries on the data itself. Account-specific and insured-specific material does not belong in a system whose reasoning is meant to be portable, and it is not present in anything published here.

Verify covers the checks that keep a profile and its scenarios internally consistent as either changes.

Architecture

The record deliberately stops at the level of entities and boundaries. The commercial review is open, and describing an architecture in more detail would imply a maturity and an availability that have not been approved.

Evidence

The repositories are private. No screenshots, metrics, customer outcomes, or performance figures are published, because none of those have been reviewed for publication. This record exists to describe the problem and the modelling approach, and it stops there.