BGM

Business Grade Maintenance
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Reducing Downtime & Costs
with Predictive Equipment AI

Fleet-level view across heterogeneous, multi-vendor environments
AI-driven, data-based maintenance decision framework
Predictive maintenance platform for large-scale industrial equipment
Built on hands-on experience in regulated industrial maintenance
Human maintenance capability modeled as part of the system
Integration of equipment reliability and operational parameters

BGM (Business Grade Maintenance) is a predictive maintenance platform designed for managing large-scale industrial equipment environments.

The platform enables proactive, data-driven maintenance management, combining classical industrial reliability parameters — such as equipment wear, failure patterns, and operational conditions — with the human factor involved in maintenance processes.

It applies AI-driven analytics and machine learning models to combine industrial reliability data, operational parameters, and human maintenance behavior into actionable predictive insights.

By integrating technical, operational, and human inputs, BGM allows organizations to:

  • Manage equipment fleets proactively and efficiently at a level not previously achievable
  • Optimize maintenance planning and procurement decisions before acquisition, using simulations and predictive forecasting
  • View heterogeneous equipment from multiple vendors as one unified operational system, rather than isolated assets

A key advantage of the platform is its universality and compatibility, enabling seamless integration of diverse equipment types and manufacturers into a single, coherent maintenance framework.

The platform was conceived and shaped based on years of hands-on, real-world experience in predictive and preventive maintenance of industrial equipment.

Our Solution

Asset reliability assessed in context: compatibility, dependencies, and fleet-wide impact
AI-driven evaluation of maintenance decisions under simultaneous technical, human, and regulatory constraints
Maintenance decision system modeling the entire equipment ecosystem, not individual assets
Scenario-based planning of maintenance, replacement, and procurement before decisions are made
Continuous assessment of whether equipment can realistically reach its intended lifecycle
Human maintenance capability treated as a core system variable, not an external assumption

How it works?

BGM operates as a multi-layer analytical platform that consolidates technical, operational, and organizational data into a unified predictive maintenance decision system.

Data Inputs

The platform ingests and continuously updates multiple data streams, including:

  • Historical maintenance records and failure logs
  • Equipment specifications and operational parameters
  • Workforce data: skills, certifications, training history, and availability
  • Service agreements and outsourced maintenance capabilities
  • Regulatory procedures, internal guidelines, and compliance requirements

Analytical Framework

Analytics are applied across multiple levels:

  • Asset-level analysis for individual equipment condition and risk
  • Fleet-level analysis for compatibility, interdependencies, and system-wide optimization

The system supports both current-state assessment of existing equipment and forward-looking analysis to support procurement and investment decisions before equipment acquisition.

AI & Predictive Analytics

AI-driven models are used to:

  • Aggregate heterogeneous data sources
  • Continuously score asset reliability and risk
  • Identify emerging failure patterns
  • Compare maintenance and replacement scenarios
  • Forecast future operational and resource implications

System Outputs

BGM delivers actionable outputs through:

  • Management dashboards and reliability rankings
  • Real-time alerts and risk notifications
  • Predictive simulations for future equipment performance and replacement planning

In parallel, technicians and maintenance personnel access a dedicated operational interface to report failures and maintenance actions, enabling immediate feedback into the analytical model.

System Dynamics & Integration

The platform supports near real-time recalculation of analytics as data changes, while remaining configurable for periodic evaluation where required.

BGM integrates with existing enterprise, maintenance, and operational systems, ensuring alignment with current workflows and minimizing adoption friction.

Planning & Forecasting

  • Early identification of degradation and replacement needs
  • Scenario-based planning for maintenance, replacement, and procurement

Operational Visibility

  • Real-time view of equipment condition, risk, and dependencies
  • Clear prioritization across the entire equipment fleet

Organizational Impact

  • Improved coordination between operations, maintenance, and QA
  • Lower audit risk through transparent, data-driven decision logic

Decision Support

  • Consistent, explainable maintenance decisions under constraints
  • Reduced reliance on individual expertise and informal judgment

What the System Delivers

BGM translates complex maintenance analytics into clear, role-oriented operational capabilities, supporting consistent decision-making across the organization.
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