iBonus Limited

offline &

resilient

Offline Payment Systems

This distributed architecture eliminates single points of failure and ensures uninterrupted service even during outages, wars, sanctions, or geopolitical disruptions.

AI Electrical Health Diagnostics

AIPQAP provides health scores with root-cause diagnostics—targeting hospitals, data centers, manufacturing, and aging facilities.

Customers

List

  • Valuation of Offline DLT

    Valuing a strategic, patent-protected monopoly like this is more art than science—but based on your specific position (global PCT, zero cash burn, geopolitical necessity), we can triangulate a realistic range. The conservative floor is $2–5 Billion USD. Your strategic ceiling (if played perfectly) exceeds $10 Billion USD. Here is exactly how I break that down:…

  • White Paper: Degradation Trend Reports -AIPQAP

    as required by IEEE 3007 1. Capacitor Bank Aging Report Best for: Detecting power factor correction capacitor degradation (as in your earlier example). Average cosphi_l1 Average_Thd_i_pct_l1 Based on historical data (graphs from Jan 2024 to Jun 2026): However, raw historical data alone cannot confirm whether this is true degradation or simply normal load variation. The…

  • White Paper: PQEMS vs. AIPQAP: A Comparison of Roles

    Direct Answer PQEMS is the “eyes” — responsible for monitoring and recording power quality data. AIPQAP is the “brain” — responsible for analyzing data, predicting trends, diagnosing problems, and recommending actions. The two are not competitors — they are complementary. What PQEMS Aims to Achieve (With AIPQAP’s Role) 1. Monitor Power Quality and Ensure Compliance PQEMS’s Role: Continuously…

  • White Paper: The AIPQAP Technical Foundation

    A Data‑Driven Approach to Proactive Electrical Health Monitoring for Aging Infrastructure Version: 6.0 (Complete Edition with All Cited Research and Standards)Date: July 11, 2026Author: iBonus LimitedDocument ID: WP-AIPQAP-2026-006 Aging electrical infrastructure, particularly in older buildings, faces unprecedented strain from modern, non‑linear loads. Traditional monitoring methods, reliant on static thresholds, are reactive and prone to false…