AI-Powered CMMS — Built for ASEAN Industry

Stop Reacting.
Start Predicting Failures.

TruMaint AI transforms industrial maintenance from reactive firefighting to intelligent, self-optimizing operations — powered by real-time IoT data and machine learning that predicts failures before they happen.

30–50%
Downtime Reduction
>85%
AI Prediction Accuracy
<5s
Alert Response Time
99.9%
Platform Uptime SLA
app.trumaint.ai/dashboard
⚡ TruMaint AI
📊 Dashboard
🏭 Assets
🧠 AI Insights
🔧 Work Orders
📡 IoT Sensors
📱 Mobile App
📦 Spare Parts
📈 Reports
94.2%
OEE
▲ +3.1%
2.4h
MTTR
▼ 38%
3
Critical Alerts
▲ 2 new
847
Assets
▲ +12
🔮 AI Failure Probability Trend
🚨 Live Alerts
Compressor C-7 — Vibration 3.2×
Pump P-12 — Temp rising, RUL 18h
Conveyor M-3 — Current anomaly
Fan F-4 — WO-2041 completed ✓
Platform Capabilities

Everything your maintenance team needs

Six fully integrated modules that take you from asset registry to autonomous AI-driven maintenance operations.

🏭
Asset Management
6-level asset hierarchy, QR/NFC tagging, criticality scoring (A/B/C), lifecycle tracking, and a document library for every asset from enterprise to component level.
📡
IoT & Sensor Integration
Ingest vibration, temperature, pressure, and RPM data via MQTT 5.0, OPC-UA, Modbus TCP, and REST. Edge computing reduces cloud bandwidth by up to 70%.
🧠
AI Predictive Engine
LSTM-based failure forecasting, Remaining Useful Life estimation, real-time anomaly detection, and SHAP explainability — precision above 85%, FPR below 10%.
🔧
CMMS & Work Orders
Auto-create work orders from AI alerts, assign by skill match, track SLA compliance, log labor and parts costs, and close the loop with digital checklists.
📊
Real-Time Dashboard
Asset health heatmaps, OEE, MTTR, MTBF widgets, and drill-down from site to individual sensor. Custom reports with scheduled email delivery.
📱
Mobile Technician App
iOS & Android with full offline mode, QR/NFC scanning, AI-guided repair steps, digital photo capture, and push notifications for immediate response.
The TruMaint AI Flow

From raw sensor data to zero unplanned downtime

01
Sensor Ingestion
IoT sensors stream vibration, temperature, pressure, and RPM every 1–30 seconds via MQTT or OPC-UA to our edge gateway.
02
AI Analysis
LSTM and autoencoder models score each asset every 5 minutes — computing failure probability, RUL, and anomaly severity.
03
Smart Alert
When risk exceeds threshold, an alert fires in under 5 seconds to dashboard, mobile push, email, SMS, or WhatsApp.
04
Auto Work Order
A work order is auto-created, the right technician assigned by skill match, and AI repair guidance delivered to their mobile.
AI / ML Engine

Self-learning intelligence that gets smarter with every repair

Five specialized ML models working in concert — from LSTM time-series forecasting to LLM-augmented repair recommendations.

🔮
Failure Probability Scoring
0–100% risk score per asset, updated every 5 minutes with configurable alert thresholds per machine class.
⏱️
Remaining Useful Life (RUL)
Physics-informed degradation curves combined with LSTM correction — estimate RUL in hours or days with ±15% confidence.
💡
SHAP Explainability
Top-3 contributing sensor features shown for every prediction with natural language explanations operators can act on immediately.
🔄 AI Pipeline — Live
📡
IoT Data Ingestion
MQTT · OPC-UA · REST
LIVE
↓
⚡
Stream Processing
Kafka + Flink · features
LIVE
↓
🧠
AI Inference Engine
LSTM · XGBoost · Autoencoder
AI
↓
💡
SHAP Explainability
Top-3 features · NL explanation
AI
↓
🚨
Alert & Work Order
Auto WO · push · email · SMS
LIVE
↓
🔁
Continuous Learning
Weekly retraining · drift detect
AI
Ready to predict your first failure?
Join ASEAN manufacturers cutting unplanned downtime by 30–50%. Start your free 14-day trial — no credit card, no sales call.