The Mainteligence Platform combines an AI software layer with purpose-built industrial IoT hardware. Together, they close the loop from raw machine data to maintenance decision — on-premise, at industrial scale.
A production-grade predictive maintenance software platform. Ingest sensor data from any source, run LSTM-based RUL inference, surface insights on a real-time dashboard. Built for multi-plant industrial deployments with on-premise-first architecture.
RUL Prediction Engine
LSTM-based model computes Remaining Useful Life per asset in real time. Outputs a numerical RUL value and confidence interval derived from live sensor sequences.
Live Sensor Monitoring
Continuous telemetry ingestion from Mainteligence Sense nodes — temperature, vibration, pressure, speed — streamed at configurable intervals (1s–5min).
Degradation Analytics
Interactive degradation curves, trend analysis, and cycle-by-cycle breakdowns. Compare across assets, time windows, or maintenance periods.
Intelligent Alert Engine
Rule-based and ML-driven alerts. Configurable thresholds per asset type. Escalation routing via email, SMS, or webhook. Silence windows for planned maintenance.
Fleet Health Heatmap
Visual overview of all monitored assets with health index scoring. Instantly identify outliers requiring attention across multi-plant deployments.
Historical Data Vault
Full time-series archive of all sensor readings and RUL predictions. Export in CSV, Parquet, or via REST API. Retention configurable per compliance requirements.
On-Premise Deployment
Deploy the entire platform stack on your own infrastructure. No data leaves your network. Compatible with bare metal, VMware, or Kubernetes environments.
Role-Based Access Control
Granular permission model: Viewer, Engineer, Manager, Admin. SSO integration via SAML 2.0 / OIDC. Full audit log of all user actions.
An industrial-grade IoT gateway engineered to retrofit on existing machinery with zero downtime. No PLC integration required. Mount it, connect it, and your machine is online within 15 minutes. Works where Wi-Fi is unavailable via RS-485 or Ethernet backbone.
Zero-Downtime Retrofit
Mounts externally on any machine — no rewiring, no production stop, no PLC access required.
Multi-Protocol Connectivity
Wi-Fi, Ethernet, RS-485. Configurable uplink intervals. Operates in Faraday-shielded environments.
Edge Pre-Processing
On-device FFT and anomaly pre-filter reduce bandwidth by 80% before sending data to the platform.
Industrial Certifications
IP67 dust/water resistance, ATEX Zone 2, CE marked. Rated for -40°C to +85°C operating range.
Local Buffer Storage
8 GB onboard flash stores 30+ days of data. Continues recording during network outages.
Plug-and-Play Provisioning
QR-code device registration. Auto-discovery on the platform. No field IT expertise required.

Hardware
Mainteligence Sense
Industrial IoT gateway for real-time machine monitoring
Mainteligence Sense
Model MS-100 · Rev 2.1
Vibration
0.42g
Temperature
312°C
Pressure
14.2 bar
RPM
2388
Technical Specifications
Your operational data never leaves your network. The full Mainteligence platform — AI inference engine, database, dashboard — runs on your own servers. No cloud dependency. No data egress. Compliance-ready by design.
Data residency
Your infrastructure
Cloud dependency
None required
Network mode
Air-gap compatible
Deployment
Docker / K8s / Bare metal