Portfolio
Free 4Last updated
Fiix CMMS
v1.58.0 (253)
3mo ago
AI intelligence is not yet available for Rockwell Automation. The portfolio data below is up to date.
4 apps analysed
Analysis in progress
Analysis in progress
AI-driven predictive maintenance justifies premium enterprise contracts
Role-based access control ensures enterprise-wide data integrity
Single-market publisher — every app ships only to United States.
Based on 2 of 4 apps with localized market data — more coverage rolling in as scans complete · last scanned .
0
Positive apps
0
Neutral / mixed
2
Negative apps
25/100
Avg sentiment score
Targets the administrative side of professional services, overlapping with Fiix's need for tracking billable hours and maintenance costs.
Strategic outlook coming soon.
Both apps serve industrial and operational efficiency, though Ceres focuses on agricultural data visualization while Plex targets manufacturing shop floor management.
This app competes for the same industrial user base by providing mobile-first equipment diagnostics and operational tracking for field assets.
Competes in the issue tracking and maintenance lifecycle space, targeting teams that manage technical breakdowns and repairs.
Placer.ai competes for the attention of business operations managers by providing high-level data analytics and property benchmarking.
Competes for the attention of field-based workforces by focusing on location-aware productivity and time management.
Addresses the intersection of time tracking and project management, competing for users who need to log maintenance or service hours.
Both platforms provide mobile interfaces for managing complex facility environments, focusing on occupant control and system monitoring.
This app targets the same mobile-first workforce management segment, specifically focusing on job card and service status tracking.
Represents a new wave of compliance-focused tools that could displace manual tracking workflows within maintenance operations.
Represents a mobile-first operational tool for field-based workers, highlighting the growing demand for role-specific mobile productivity apps.
A modern entrant focusing on automated workforce monitoring that challenges traditional manual work order reporting.