
AI & Advanced Analytics
AhilyaSoft delivers industrial AI and advanced analytics solutions that transform raw process data into actionable intelligence. From multiv...
AhilyaSoft delivers industrial AI and advanced analytics solutions that transform raw process data into actionable intelligence. From multiv...

Overview
AhilyaSoft delivers industrial AI and advanced analytics solutions that transform raw process data into actionable intelligence. From multivariate analysis and anomaly detection to digital twin simulation, our platforms help process industries prevent off-spec production, eliminate hidden inefficiencies, and optimize operations proactively.
Methodology
Model, predict, and optimize processes using multivariate statistical analysis to identify real underlying sources of variation across hundreds of correlated process variables.
Sensitively detect and diagnose subtle shifts from optimal operation early, enabling informed intervention before quality or efficiency is impacted.
High-fidelity virtual replicas of physical assets and processes for what-if analysis, scenario optimization, and operator training without production risk.
AI/ML models continuously adapt as process conditions evolve, maintaining accuracy and delivering sustained value over time.
What You Gain
Measurable results within weeks, not quarters.
Multivariate analysis (ProMV-style): model complex process interactions across all variables
Early and accurate off-spec warnings to prevent quality deviations before they occur
Anomaly detection for subtle process health shifts: reducing reactive troubleshooting
Digital twin co-simulation for process optimization and operator training scenarios
AI/ML inferential models replacing offline lab measurements with real-time predictions
Horizontally scalable across single plant or multi-site industrial portfolios

Deployed across industries where milliseconds and margins matter.
Applications
Sugar: Brix, POL, and fermentation inferential models replacing delayed lab measurements
Cement: raw mix quality prediction and kiln process anomaly detection
Refinery: multivariate monitoring across CDU, FCC, and hydroprocessing units
Data centres: cooling load anomaly detection and energy efficiency optimization
Deployment