Stop Equipment Failures Before They Happen
Mainteligence uses AI and real-time data to predict failures, estimate Remaining Useful Life (RUL), and optimize industrial maintenance — with or without existing IoT infrastructure.
Machines Monitored
48
+3 this week
Active Alerts
3
2 critical
Avg. RUL (days)
58
+12 vs last cycle
Downtime Prevented
94%
vs baseline
Vibration — Compressor B-7
1.87
Temperature — Motor D-19
521
RUL Forecast — Avg Fleet
58
The Problem
Industrial Failures Are Predictable. Yet They Keep Happening.
Every year, factories lose billions to failures that could have been foreseen. The root cause is not bad luck — it is the absence of real-time intelligence.
Unexpected Equipment Failures
Unplanned downtime brings production to a halt without warning. In heavy industry, a single failure can cascade into days of lost output and costly emergency repairs.
Excessive Maintenance Costs
Over-scheduling preventive maintenance wastes labor and parts. Under-scheduling creates failures. Without data, your maintenance team is forced to guess.
No Real-Time Asset Visibility
Operators rely on lagging indicators — periodic inspections, operator intuition, and manual logs. By the time a fault is detected, significant damage has often already occurred.
No Existing IoT Infrastructure
Most industrial facilities run on legacy equipment with zero connectivity. Deploying traditional IoT solutions requires costly overhauls that take years and significant CapEx.
The core issue: Industrial companies generate massive amounts of operational data but lack the tools to extract actionable maintenance intelligence from it in real time. Mainteligence was built to solve exactly this.
The Solution
Introducing Mainteligence
An end-to-end predictive maintenance platform that combines proprietary IoT hardware with industrial-grade AI — deployable in days, not months.
Predictive AI Models
Deep learning models trained on real industrial datasets predict failures before they occur, with configurable lead-time thresholds for each asset class.
Mainteligence Sense
A ruggedized IoT gateway that retrofits onto legacy equipment in under an hour. No electrical overhaul required.
Unified Dashboard
A single operational view covering RUL predictions, sensor health, alert triage, and maintenance scheduling — built for engineers.
On-Premise Deployment
Your data never leaves your facility. Mainteligence runs fully on-premise, meeting the strictest industrial data governance requirements.
How It Works
From Machine to Decision in 5 Steps
A fully integrated workflow that requires no prior IoT setup and minimal IT involvement.
Install Mainteligence Sense
HardwareMount the ruggedized IoT device on any machine using standard industrial fittings. No production downtime, no electrical modifications.
Collect Real-Time Data
IoTThe Sense device captures vibration, temperature, pressure, current draw, and acoustic signatures. Data is processed at the edge and transmitted securely.
AI Analyzes Degradation
AI / MLOur deep learning models — trained on NASA turbofan and CMAPSS datasets — identify degradation patterns and estimate Remaining Useful Life.
Dashboard Shows Insights
SoftwareMaintenance engineers see RUL forecasts, health scores, threshold alerts, and recommended actions — all in one interface.
Prevent Failures Before Breakdown
ActionConfigurable lead-time alerts notify your team days or weeks before predicted failure — eliminating reactive emergencies and wasteful over-servicing.
The Product
Software + Hardware, Unified
Mainteligence is the only predictive maintenance solution that ships both a purpose-built industrial AI platform and the IoT hardware to power it — out of the box.
RUL Prediction
Per-asset Remaining Useful Life forecasts with configurable confidence intervals and lead-time alerts.
Sensor Monitoring
Real-time streaming of vibration, temperature, pressure, and current data at up to 10kHz sampling.
Health Status
Composite health scores per asset, aggregated from multiple sensor streams and degradation models.
Smart Alerts
Multi-channel notifications (email, SMS, webhook) with severity tiers and suppression logic.
Fleet Health Overview
48 Assets Monitored
RUL Forecast — Next 30 Days
Platform Preview
Built for Engineers, Not Data Scientists
Every metric, every alert, and every forecast — in one industrial-grade interface.
Assets (5)
Turbine A-12
Turbine · TRB-A12
RUL (days)
87
Health Score
92%
Temperature
312°C
Vibration
0.42g
RUL Forecast (10-day)
Sensor Trend (7-day)
Why Mainteligence
Measurable Value. From Day One.
Up to 35%
01Reduction in Unplanned Downtime
Early failure detection eliminates emergency shutdowns that cost industrial facilities an average of $260,000 per hour.
Weeks ahead
02Failure Prediction Lead Time
Know about a developing fault days or weeks before breakdown — giving your team time to plan maintenance at the optimal window.
40–60%
03Improvement in Maintenance Efficiency
Move from time-based to condition-based maintenance. Service assets when they need it — not before, not after.
Zero
04Existing IoT Infrastructure Required
The Mainteligence Sense device provides all the connectivity you need. Deploy on day one, regardless of your current setup.
100%
05On-Premise Deployment Available
Full air-gapped deployment for facilities where data sovereignty is non-negotiable. Your operational data stays on your servers.
On-Premise Deployment — Your Data Never Leaves Your Facility
For manufacturers, utilities, and defense contractors where data sovereignty is mandatory, Mainteligence offers a fully air-gapped deployment mode. No cloud connectivity required. No data leaves your network. Ever.
How We Work Together
Simple, Transparent Engagement Model
From first contact to full deployment — a model built around your pace and your infrastructure.
Free Demo
Proof of Value on Real Data
We run a live RUL prediction demonstration using the NASA CMAPSS turbofan engine degradation dataset. No installation, no commitment — see the AI output before you buy.
- Live NASA dataset demo
- RUL model walkthrough
- Architecture overview
- No installation required
Platform Subscription
Full Predictive Maintenance Platform
Annual or multi-year subscription to the Mainteligence software platform. Includes dashboard, AI models, alert management, API access, and dedicated industrial support.
- Unlimited asset monitoring
- RUL & anomaly detection models
- On-premise or private cloud
- SLA-backed support
- Model retraining service
Hardware + Services
Mainteligence Sense + Installation
Optional add-on for facilities without existing IoT infrastructure. Includes the Sense gateway devices, professional installation, and initial sensor calibration by our field team.
- Sense device units
- On-site installation
- Sensor calibration
- Integration testing
Transform Your Maintenance Strategy
Join industrial operators who have already moved from reactive to predictive. Let us scope a deployment for your facility.
Built to Last
Industrial-Grade From the Ground Up
Designed for industrial environments where 99.9% uptime is not a target — it is the baseline. Every component of Mainteligence is engineered for the conditions your machines operate in.
Engineering Team, Mainteligence
IP67 rated · ATEX certified · -40°C to +85°C
Our AI models are trained on the NASA CMAPSS turbofan engine degradation dataset — the gold standard benchmark for predictive maintenance research, used by aerospace and defense engineers worldwide.
AI Research Team, Mainteligence
NASA CMAPSS · Real-world validated · Peer-reviewed methods
Mainteligence is architected for enterprise-scale: multi-site deployment, role-based access control, encrypted data at rest and in transit, and full audit logging to meet ISO 27001 requirements.
Infrastructure Team, Mainteligence
ISO 27001 aligned · RBAC · End-to-end encryption