Management software Pulse

monitoringfor aeronauticsAI-assisted

Overview
Breton Pulse is a modular service platform for monitoring and improving industrial machine and plant performance. It centralizes machine data, applies analytics and AI to transform signals into operational insights and actionable recommendations for manufacturing operations.

What it delivers

• Centralized collection, visualization and analysis of machine data to generate actionable information for operations teams.
• Detection and mapping of negative patterns, trends and recurring alarms to prioritize interventions.
• Storage and monitoring of key performance metrics with anomaly recognition to reduce downtime.

Key benefits

• All-in-One: consolidated toolset to manage production volumes, alarms, tools and materials.
• Complete control: continuous monitoring and management of production and equipment status.
• AI-driven insights: intelligent algorithms and the ABA virtual assistant provide notifications and prescriptive recommendations.
• Prescriptive strategies: comparative analyses and suggested actions to optimize operations and resources.
• Modular adoption: multiple modules (1–8) allow phased deployment of features.

How it works
Breton Pulse collects data from machines, converts raw signals into structured information, maps recurring alarms and negative trends, and supports routine maintenance planning. The platform recognizes optimal operating conditions to extend tool and equipment life while monitoring electrical and material consumption to identify savings opportunities. ABA (Artificial Breton Assistant) delivers alerts and recommends corrective or optimization actions.

Modules & Components
Available modules cover operational performance, monitoring, analytics and AI assistance. Examples include:

• Operational Module | Performance: management of production volumes, alarm monitoring, tools and materials.
• ABA – Artificial Breton Assistant: AI virtual assistant for notifications and prescriptive recommendations.

Use cases / Value

• Reduce machine downtime via proactive monitoring and anomaly detection.
• Lower energy and material consumption through monitoring and suggested alternatives.
• Decrease maintenance costs with improved routine planning and condition-based alerts.
• Support managers with AI-driven insights for faster, data-backed decisions.

Technical specifications

• Platform type: service platform for industrial machine and plant performance management.
• Core functions: data collection, visualization, analysis, anomaly detection, alarm recurrence mapping.
• Intelligence: AI algorithms and integrated virtual assistant (ABA) for notifications and prescriptive recommendations.
• Maintenance support: routine maintenance management and operation planning assistance.
• Resource monitoring: electrical and material consumption tracking with comparative options to save resources.
• Architecture: modular design with multiple modules available (up to 8).
• Primary goals: improve machine productivity, reduce operational costs, lower consumption and extend equipment lifetime.