Funding
Funding not disclosed
Founders
Product
Problem
Managing and documenting complex IT infrastructure is a significant challenge for network administrators. Without accurate, up-to-date network maps and device inventories, troubleshooting performance issues, tracking changes, and ensuring security becomes inefficient and time-consuming.
Solution
UVexplorer provides automated network discovery and mapping to create detailed visualizations of IT infrastructure. The platform automatically discovers IP devices, captures comprehensive inventory data, and generates port-level connectivity maps for wired, wireless, and virtual environments. It also facilitates configuration backups for network devices, enabling administrators to track changes and restore configurations as needed. This allows for more efficient network troubleshooting, better change management, and improved overall network visibility.
Target Audience
The primary users are network administrators, IT managers, and managed service providers (MSPs) responsible for maintaining and documenting IT network infrastructure.
Features
- Automated Layer-2 topology mapping with port-level connectivity details.
- Discovery of wired, wireless, virtual (VMware, Hyper-V), and IP-based devices.
- Comprehensive device inventory collection, including system information, serial numbers, IP/MAC addresses, and installed software.
- Automated backup of device startup and running configurations via SSH, Telnet, SNMP, and WMI.
- Network change tracking with notifications for new devices, topology modifications, and configuration changes.
- Network monitoring capabilities for ping, latency, CPU load, disk utilization, and SNMP bandwidth.
- Export of network maps and inventory data to formats compatible with Lucidchart, Microsoft Visio, PDF, CSV, and SVG.
- Integrations with IT management platforms such as PRTG, IT Glue, Hudu, ServiceNow, Asset Panda, Jira, and Slack for data sharing and notification workflows.
- UVexplorer Server offers a web console for distributed, agent-based discovery across large or segmented networks, with centralized data aggregation and management.