DINOCOR systems

What We’re Building

DINOCOR is developing focused industrial intelligence systems for reliability, energy efficiency, field operations, and local-first AI deployment.

Faultline is DINOCOR’s first industrial intelligence platform. It is being developed to help maintenance, reliability, and operations teams identify early signs of risk, connect scattered evidence, and better understand developing equipment or process issues before they become larger problems.

Focus: reliability insight, repeat-failure awareness, operational risk, maintenance context, and supervisor-ready decision support.

Faultline Legacy is a planned reliability intelligence extension focused on aging, unsupported, or hard-to-replace industrial equipment. It is intended to help teams better understand legacy asset risk, supportability concerns, maintenance history, documentation gaps, and practical replacement or life-extension considerations.

Focus: legacy asset risk, supportability, maintenance history, documentation gaps, and lifecycle decisions.

Energy Intelligence is DINOCOR’s efficiency-focused layer. It is being developed to help industrial operators identify energy waste, improve asset-level energy awareness, and support practical decisions that reduce unnecessary consumption without compromising production or reliability.

Focus: energy waste, asset-level energy awareness, efficiency decisions, and lower operational waste.

Saurian Core is the underlying intelligence layer behind DINOCOR’s industrial systems. It is designed to connect data, context, evidence, and AI-assisted reasoning across industrial operations while supporting local-first, modular, and edge-capable deployment.

Focus: local-first intelligence, secure context, modular architecture, and AI-assisted reasoning.

FieldPack is DINOCOR’s field evidence and intake concept. It is intended to help capture and structure real-world operational evidence such as notes, photos, job context, inspections, observations, and supporting documentation.

Focus: field evidence, inspection context, operational notes, job information, and reduced information loss.