Context-aware asset prognostics that turn raw and siloed data into actionable asset intelligence.
Turn raw and siloed Sensor, Operational, Inspection and Maintenance data into unified asset intelligence — the single “doctor” your factory has been missing.
We connect the dots your systems can't.
Most factories run with an army of specialists but no single doctor who sees the full picture. PrognAsset bridges the gaps — merging, contextualising and learning from every data source to give you a clear, unified view of your asset health.
From Siloed Data to a Unified Asset View
Sensor readings, maintenance history, inspection reports and operating conditions all live in separate systems today. PrognAsset merges and time-synchronises them into a single contextualised framework — eliminating manual correlation and the errors that come with it.
Industry reality: Over 60% of asset condition data is manually collected and stored in siloed buckets.
From Noisy Signals to Reliable AI Prognostics
AI models are only as good as the data behind them. By providing a clean, unified and contextualised data foundation with strong feedback loops, PrognAsset gives your prognostic models the ground truth they need to learn, improve and deliver real ROI.
Industry reality: Over 75% of AI projects in manufacturing fail — 71% due to poor data quality and lack of AI-ready data.
From Reactive Response to Predictive Action
Instead of responding to failures after the fact, PrognAsset gives maintenance teams clear sight of Remaining Useful Life (RUL), contextualised alerts and risk scores — enabling preventive interventions before downtime and cost escalate.
Industry reality: Over 70% of industrial alarms are ignored because they lack context.
Your asset's personal doctor is here.
PrognAsset is a unified, source-agnostic, scalable platform that augments data gaps, merges, contextualises and analyses time-series data from all your assets' operational and maintenance data and environment conditions — delivering valuable insights into your assets' conditional risks.
Data Convergence
Bring all condition data into a single time-synchronised reference framework — addressing data gaps and enabling convergence across assets, systems and data types.
Risk Classification
Automated risk classification, profiling, and mitigation strategies with early detection of causation factors — giving you a clear view of risk across your entire asset portfolio.
Prognostic Diagnosis
Predictive and prognostic interventions through insights into asset Remaining Useful Life (RUL) and critical component early alerts — before failures occur.
Industry Solutions
From food processing to oil & gas, we help predict and prevent risks across industrial sectors.
Food Processing
Prevent over-maintenance with insights and risk-based maintenance. Enable predictive, prognostic interventions by early detection of causation factors like load and stress on conveyor belts and critical components.
Chemical & Pharma
Monitor current/voltage stability of process-critical equipment to avoid process deviations affecting batch integrity. Track environmental conditions in clean zones to reduce compliance and safety risks.
Energy
Monitor vibration, pressure, and ambient temperature for oil & gas, renewable, and utility assets in remote or offshore environments. Merge siloed vendor data to detect early incidence, reduce unnecessary interventions, and maintain uptime.
Questions & Answers
Ready to future-proof your asset operations?
Let's discuss how PrognAsset can bring all your asset condition data into a single unified operational view — detecting risks early and optimizing business operations.