AI-Powered Suites for Industrial Asset Excellence

The Reliability Engineer Built Into Your EAM

Traditional maintenance is locked in an expensive loop of reactive fire-fighting. The IREAMS Reliability Suite breaks this cycle with genuine reliability engineering computed from your actual work history and condition data — not scores invented by a black box.

At its core sits a censored Weibull engine: still-running assets are treated as suspensions using median-rank regression with Johnson-adjusted ranks, so a fleet that hasn't failed yet doesn't get an overstated life. Every fitted β and η carries confidence bounds. On top of that, a discrete-event Monte Carlo / RAM simulator (inverse-CDF Weibull sampling, Box-Muller lognormal repair times, convergence checking) weighs preventive maintenance against run-to-failure on both cost and availability before you commit a budget.

From SAE JA1011-aligned RCM and FMEA that auto-generate PM tasks from failure modes, to structured RCA along a Physical → Human → Latent causal ladder with business-impact quantification and a defect-elimination tracker, IREAMS turns your own records into clear, risk-mitigated strategies. We hold to the Human-In-The-Loop principle: the software drafts and recommends, and senior reliability specialists validate and approve every preemptive path.

Layered on the classical foundation is the PSC (Percentage of Success Centred) framework — IREAMS is its published reference implementation (Olorunfemi, 2026). PSC adds the Golden Spot, the D-I-S-G curve, success metrics (MTOP, MTTRg, SR with a ≥90% target and ≥95% world-class), OPE, and SMEA (Success Mode & Effects Analysis, where SPN = Value × Sustainability × Monitorability). PSC is additive; FMEA and RCA remain authoritative for safety-critical cases.

Cross-cutting the suite, an AI Reliability Specialist ("Relantern AI") never does the math itself — it queries these deterministic engines and cites every number back to your own records, running at explicit autonomy tiers where a human clicks Apply. It rides on a semantic layer of canonical reliability views annotated to ISO 14224 and ISO 55000, with full lineage and export to open formats: AI-ready reliability data, open by design.

The Operational Backbone for Industrial Excellence

Legacy Enterprise Asset Management (EAM) software is often slow, overly complex, and resisted by the front-line personnel who keep plants running. Relantern reimagines the category from the ground up with IREAMS: a mobile-first, offline-first platform that operates as your absolute single source of truth for assets, work orders, inventory, and costs — enterprise reliability depth, without the enterprise friction.

IREAMS governs with rigid discipline. Authority dictionaries—such as work types, cost centers, and failure modes—are centrally governed and locked on first transaction use to prevent historical record contamination. The architecture is built on row-level security, least-privilege role-based access control (RBAC), and append-only, tamper-evident audit logs that track who made each modification, when, and where. Each customer runs on a single-tenant deployment.

With risk-based prioritization and automated bad actor identification, IREAMS moves operations beyond simple data logging, actively driving precision scheduling and strategic capital spend.