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Monitory

by Tactical Edge

AI Application
Low Confidence

Monitory is an AI-powered industrial reliability/operational intelligence platform (developed by Tactical Edge) for manufacturing and automotive environments. It predicts equipment failures before they happen by combining and visualizing data from multiple sources (CMMS, IoT sensors, enterprise systems) to reduce unplanned downtime and optimize plant performance. Intended users include operations & maintenance teams, technicians, supply chain, sales/marketing, and plant leadership in manufacturing and automotive. Evidenced use cases: predictive maintenance to avoid unplanned downtime, real-time asset monitoring and anomaly detection, automated work-order creation and preventive maintenance workflows, AI support to reduce technician admin (wrench time), instant retrieval of machine manuals/troubleshooting/safety protocols, inventory/spare-parts automation, and knowledge/chat assistant for support workflows.

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Transparency Score

Weighted across four pillars · updated October 10, 2026

Overall grade
10% weighted
ABCDF
Model
—
Not yet assessed
Infrastructure
—
Not yet assessed

Capabilities

Predictive Maintenance
Condition Monitoring
Anomaly Detection
Work Order Automation
Asset Monitoring
Inventory Management
Ai Chatbot
Knowledge Base
Analytics

Vendor Information

Complete information about the vendor/provider of this AI application

Tactical EdgeView all products →
Contact Information
www.tacticaledgeai.com/
Registered Address
Washington, DC, US

EU AI Act Provider Information

Verification Status:
Unverified
Washington, DC, US

Potential Risks

1 considerations identified

1

Review recommended before use

These considerations are automatically identified based on publicly available information about the vendor and AI catalog data. Actual risks may vary based on your specific use case and implementation.

Compliance & Risk

Get insights into risk by running assessments on this AI application.

Work at Tactical Edge? Claim this listing to correct or complete the data.

Added: October 10, 2026
Updated: October 10, 2026

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