AI TOOL PROFILE
Sclera: AI-Driven Asset Management Software
- Operations
- Asset Management
- Operations Managers
- System Administrators
- Asset Engineers
- Smart Buildings Managers
- Large Enterprises
Pricing
Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
At a glance
- Best for
- Operations Managers, System Administrators, Asset Engineers, Smart Buildings Managers, Large Enterprises
- Key use cases
- Predictive Asset Maintenance, IT Asset Management, Smart Building Operations, Field Asset Audits
- Integrations
- CMMS, Property Management System, Ticketing System, ESG platforms, Predictive maintenance tools
- Official website
- Visit sclera official website
How AI is used
Sclera is an asset management platform designed to centralize the tracking and optimization of digital and physical infrastructure. It uses AI to monitor asset performance and help identify potential failures before they result in downtime.
The software is designed for users such as operations managers, asset engineers, and smart buildings managers. It focuses on creating a centralized source of truth for asset data, which helps teams monitor multiple portfolios from a single dashboard.
The platform supports automated ticketing and predictive maintenance workflows. Buyers should confirm if their current infrastructure is compatible with the platform's 100+ third-party integrations.
Because the tool supports multi-region operations and various localizations, it is designed to scale for companies managing assets across different time zones and geographic locations.
Key Features
AI-Driven Anomaly Detection
Identifies deviations in asset performance to help predict failures and reduce potential downtime.
Predictive Maintenance
Supports a shift from reactive to proactive maintenance by predicting issues before they occur.
Consolidated Dashboard
Provides a single view of asset data across multiple portfolios in one interface.
AI-Enabled Onboarding
Designed to help ensure asset data is clean, classified, and centrally tracked during onboarding.
Data Standardization
Standardizes and centralizes data from various assets, systems, and protocols.
Automated Workflows
Includes alarm management and automated ticketing to support asset performance.
Use Cases
Predictive Asset Maintenance
Using AI-powered tools to identify equipment failures before they happen to maintain infrastructure reliability.
IT Asset Management
Combining assets, data, and workflows with automation for centralized IT tracking.
Smart Building Operations
Integrating building automation systems with data analytics to monitor energy consumption and environmental conditions.
Field Asset Audits
Using a mobile app for asset engineers to access work orders, perform rounds, and submit audit reports from the field.
Integrations
- CMMS
- Property Management System
- Ticketing System
- ESG platforms
- Predictive maintenance tools
FAQ
Who is Sclera designed for?
- Sclera is designed for system administrators, operations managers, asset engineers, and smart buildings managers.
How does Sclera use AI in asset management?
- It uses AI for anomaly detection to predict equipment failures, AI-enabled onboarding for cleaner asset data, and predictive maintenance to help reduce downtime.
Does Sclera support field work?
- Yes, it provides a mobile app that allows asset engineers to access work orders, perform audits, and submit reports from the field.
Source category: Operations
Source subcategory: Asset Management
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