Enterprise Grade Solution

Predictive Maintenance

ML-Based Equipment Failure Prediction

Prevent costly downtime with our AI-powered Predictive Maintenance solution. By analyzing sensor data, vibration patterns, and historical maintenance records, we predict equipment failures before they occur, enabling proactive maintenance scheduling and reducing unplanned outages.

Challenges

Addressing Your Key Challenges

Identify and overcome the critical obstacles preventing your operations from reaching peak efficiency

Unplanned Downtime

Unexpected equipment failures halt production and cause revenue loss.

High Maintenance Costs

Reactive repairs are significantly more expensive than planned maintenance.

Spare Parts Shortages

Lack of critical spares when breakdowns occur extends downtime.

Data Overload

Too many sensor alerts leading to alarm fatigue for operators.

ROI & Impact

Measurable Business Outcomes

Quantifiable results that drive bottom-line growth and operational excellence

50%
Downtime Reduction

decrease in unplanned outages

25%
Maintenance Savings

reduction in annual maintenance budget

10x
ROI

return on investment within first year

20%
Asset Life Extension

prolonged useful life of critical machinery

Core Capabilities

Powerful Features

Advanced tools and functionalities designed to transform your workflow

Core Use Cases

Built to handle your most demanding industrial requirements.

Anomaly Detection

Identify subtle deviations in vibration and temperature patterns.

Remaining Useful Life (RUL)

Estimate days until failure for critical components.

Root Cause Analysis

Pinpoint the specific sub-component causing the issue.

Fleet-Wide Benchmarking

Compare asset performance across different sites.

Implementation

How It Works

A seamless, integrated process from data collection to actionable insights

From Sensor to Insight

1

Sensor Data Collection

Vibration, temp, and current data streamed from PLCs/IoT.

2

Feature Extraction

Signal processing to extract time and frequency domain features.

3

Inference

Models compare current state against failure signatures.

4

Actionable Alert

Alerts sent to maintenance team with recommended actions.

Ecosystem

Seamless Integrations

Connects effortlessly with your existing software stack and hardware infrastructure

Seamless Connectivity

Integrated with Your Ecosystem

Our solutions are designed to fit perfectly into your existing infrastructure, connecting with your hardware, software, and enterprise systems without disruption.

Sensors

Wireless IoTWired Vibration Probes

CMMS

SAP PMIBM MaximoInfor EAM
Technical Specs

Platform Capabilities

Enterprise-grade performance, security, and scalability

Edge Processing

Analyze high-frequency vibration data locally.

Model Library

Pre-trained models for motors, fans, pumps, and gearboxes.

Scalability

Monitor thousands of assets across multiple sites.

Get Started

Deployment & Pricing

Flexible options tailored to your business needs and scale

Flexible Deployment

Whether you need the security of on-premise or the scalability of the cloud, we support your architecture.

CloudEdge

"Hybrid architecture with edge nodes for data reduction and cloud for aggregation."

Per Asset Model

Pricing based on number of monitored assets.

  • Unlimited Users
  • Mobile App Access

Enterprise Site Model

Flat fee for entire facility coverage.

  • Dedicated Success Manager
  • Custom Models