Predict Failures. Explain Drivers. Project Remaining Life.
ReliTrack is a reliability intelligence platform that combines statistical survival analysis with explainable AI to help operators act before assets fail. Built for cloud or on‑prem, designed for high‑stakes environments.
- Cross‑IndustryPower • EV • Semiconductors
- ExplainableSHAP • Hazard ratios
- Real‑time ReadyAlerts • RUL tracking
ReliTrack circular monogram
Failure Prediction
Non‑parametric + Weibull baselines; AI when data is rich
Root‑Cause Insights
Cox/DeepSurv, SHAP, and severity‑weighted risk
Decision Support
RUL thresholds, live tracking, and work‑order integrations
Capabilities
ReliTrack’s Three Pillars
Designed to work from sparse asset and event histories—always with explainable outcomes.
Failure Probability Estimation
Limited‑data & rich‑data methods
Limited‑data:
- Kaplan–Meier survival curves
- Weibull hazard trends
- Bayesian priors for sparse data
- Monte Carlo uncertainty
Rich‑data:
- LSTM degradation modeling
- DNN for multi‑source dependencies
- Hybrid calibration with statistical outputs
- Federated learning (cross‑site, no raw data)
- SHAP feature attribution
Impact Factor Analysis
Hazards, drivers, and risk
Hazard models:
- Cox PH & time‑varying extensions
- DeepSurv for non‑linear effects
- Feature ranking via SHAP & permutation
Risk scoring:
- Severity‑weighted, non‑linear risk maps
- Prioritize low‑frequency / high‑impact cases
RUL Projection
From criteria to action
End‑of‑Life criteria:
- Industry standards (IEC/IEEE)
- Failure‑probability thresholds
- Risk‑score thresholds
Real‑time tracking:
- Deviation alerts (e.g., −30% RUL)
- Maintenance optimization & what‑if
How it Works
From Data → Insight → Action
A modular pipeline built for batch and real‑time use, cloud or on‑prem.
Ingest
Adapters & validation
- CSV/REST, historians, OPC‑UA, MQTT
- Schema mapping to assets/events
Store
Data platform
- Time‑series & relational stores
- Object store, feature registry
Model
Analytics services
- Failure probability, hazards & risk
- RUL service with explainability
Act
Serving & integrations
- APIs, webhooks, event bus
- Alerts & CMMS/APM connectors
Industries
Built for Critical Environments
Cross‑industry by design—no rewrites for each domain.
Semiconductor Fabs
Litho • Etch • Metrology
- Downtime & yield impact prioritization
- Tool‑level RUL and driver insights
Energy & Utilities
Transformers • Switchgear
- Failure risk & consequence‑aware planning
- Grid reliability & safety improvement
EV Batteries
Packs • Modules
- Degradation trajectory modeling
- Thermal risk & recall decision support
Security & Deployment
Enterprise‑grade by default
RBAC, audit, and encryption across cloud, on‑prem, and hybrid.
Security & Governance
- SSO (OIDC/SAML), RBAC, tenancy
- Audit trails, encryption in transit/at rest
Observability
- Logs, metrics, traces; model drift checks
- SLO/SLA monitoring
Deploy Anywhere
- Cloud‑native or on‑prem (Kubernetes)
- Optional edge agent & federated learning
Ready to try ReliTrack?
Request a pilot or schedule a walkthrough. We’ll map your data sources, set up a sandbox, and demonstrate failure prediction, impact factors, and RUL tracking on your assets.