PRODUCTS
Analyzer for Autodesk® Licensing
Cut software license costs and reduce wastage on license usage by monitoring activity levels of all Autodesk applications regardless of licensing type
Analyzer for Autodesk® Licensing provides a fully customizable and advanced web-based interface for license usage monitoring. Generated reports can range from a worldwide enterprise view down to a single user, real-time or historical, and may be viewed on a web browser, printed, or exported to popular spreadsheets.
Benefits
Enterprise-wide Autodesk usage data collection
Customizable reports and dashboards
Supports Perpetual, Subscription-based and 360 product line
Choose your Optimization Level
Level 1
Level 2
Level 3
Reports
Related Product
LicenseAnalyzer
Primary tool for software usage metering, analysis, and optimization for all business and technical applications.
Additional Plug-ins

LicensePredictor
Forecasting and anomaly detection tool that analyzes current and historical usage data to predict future trends in license usage.

CLIMS
Advanced system that provides administrators a centralized portal for the administration and management of license files and license servers.

LicensePlanner
Aligning IT with business strategy boils down to how business unit managers make decisions about financing.
Solutions using Analyzer for Autodesk® Licensing
Enterprise-wide Monitoring
of IT assets
Vendor Negotiation
Optimize License Usage
software licenses
Take a Guided Tour
Get answers with a one-on-one walk-through.
Schedule a live demo today. We’ll show you how your business can benefit from an efficient software asset management program with Open iT usage metering tools.
Latest Blogs

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The engineering visibility gap in Software Asset Management (SAM) tools has become a growing challenge for organizations seeking to optimize high-value engineering and simulation software. Most enterprises today rely on

Open iT Now Supports Red Hat OpenShift Virtualization (KubeVirt)
Enterprises are increasingly moving toward hybrid environments that unify containerized workloads with traditional virtual machines. This approach preserves existing investments in legacy systems while taking advantage of the agility, scalability,
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