I’m Pascal Gain, founder of ASTRIIS, a startup turning vibration data from critical industrial machines into early fault detection and actionable insightss
AStrion is a cloud-based predictive maintenance solution designed to automatically detect faults on all components of complex systems—months before failure. Built on 30 years of research in advanced signal processing, it delivers expert-level diagnosis without requiring vibration specialists. Core Pillars of AStrion SaaS: Data Validation – Assesses signal quality and suggests improvements. Indicator Extraction – Extracts relevant features from raw time and frequency data. A_utomatic Interpretation – _Detects faults and localizes defects without human input. Trend Tracking – Monitors indicator evolution to anticipate failures. Smart Alarms – Raises alerts using AI-driven anomaly detection, minimizing false positives. Full Spectrum Coverage – Analyzes 100% of the spectrum for total component monitoring. User-Friendly Interface – Easy to use, fast to deploy, no historical data required. AStrion is scalable, fast to deploy, and applicable across industries.