Eugenie’s machine-learning powered predictive analytics solution includes proven capabilities of handling real-time IoT data to forecast device failures and shortages from the historical data-patterns with high accuracy.  

The three-step framework of connect, track, diagnose equips Eugenie to execute end-to-end predictive maintenance, asset performance management, and real-time insight generation in the area of IIoT operations. 

Eugenie is successfully deployed in domains such as defence, oil, and gas, manufacturing where it has played a crucial role in saving maintenance and operational costs as well as enhancing the security of systems. 

Eugenie’s Explainable AI includes the following prominent features:  

• Prescriptive Alerting
• Predictive Quality Assurance
• Condition Monitoring
• Digital Twins

Eugenie’s motto involves enabling our clients to achieve higher operational efficiency and machine reliability with a human-centred approach.

Eugenie’s powerful, three-step framework of Spot, Explore, Exploit allows organizations to perform real-time anomaly detection, get actionable insights, and root-cause analysis. Having been applied in various domains such as consumer packaged goods, finance, and telecom, Eugenie has achieved outstanding benefits in terms of reducing operational costs and mitigating risks.