CompanyCam is a photo-based solution created specifically for contractors. Users can take unlimited photos—which are location and time stamped, sent to the cloud, and stored securely. Every photo is organized by project and instantly available to your team, allowing you to see what’s going on anytime, anywhere.
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NetCrunch is a next-gen, agentless infrastructure and traffic network monitoring system designed for hybrid, multi-site, and fast changing infrastructures. It combines real-time observability with alert automation and intelligent escalation to eliminate the overhead and limitations of legacy tools like PRTG or SolarWinds. NetCrunch supports agentless monitoring of thousands of nodes from a single server-covering physical devices, virtual machines, servers, traffic flows, cloud services (AWS, Azure, GCP), SNMP, syslogs, Windows Events, IoT, telemetry, and more.
Unlike sensor-based tools, NetCrunch uses node-based licensing and policy-driven configuration to streamline monitoring, reduce costs, and eliminate sensor micromanagement. 670+ built-in monitoring packs apply instantly based on device type, ensuring consistency across the network.
NetCrunch delivers real-time, dynamic maps and dashboards that update without manual refreshes, giving users immediate visibility into issues and performance. Its smart alerting engine features root cause correlation, suppression, predictive triggers, and over 40 response actions including scripts, API calls, notifications, and integrations with Jira, Teams, Slack, Amazon SNS, MQTT, PagerDuty, and more.
Its powerful REST API makes NetCrunch perfect for flow automation, including integration with asset management, production/IoT/operations monitoring and other IT systems with ease.
Whether replacing an aging platform or modernizing enterprise observability, NetCrunch offers full-stack coverage with unmatched flexibility. Fast to deploy, simple to manage, and built to scale-NetCrunch is the smarter, faster, and future-ready monitoring system. Designed for on-prem (including air-gapped), cloud self-hosted or hybrid networks.
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LiDAR360
LiDAR360 is an all-encompassing software solution for processing and analyzing LiDAR point clouds, created by GreenValley International. This robust platform includes a variety of specialized modules designed to meet the needs of different sectors such as terrain analysis, forestry management, mining, and power line inspection. With the ability to process large volumes of data, it can manage over 300 GB of LiDAR information at once and features more than 10 sophisticated algorithms for point cloud processing. Among its primary capabilities are data preprocessing, filtering, classification of point clouds, generation of digital terrain and surface models, as well as 3D visualization. Additionally, LiDAR360 equips users with tools for segmenting individual trees, extracting forest parameters, and conducting regression analyses for biomass estimation, which significantly enhances the efficiency of forest resource assessments. In the mining sector, the software supports open-pit mine modeling, monitors volume changes, and provides detailed tunnel section analyses. Overall, LiDAR360 stands out as a versatile tool, capable of improving productivity and accuracy across various applications.
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VeloView
VeloView is a versatile open-source platform tailored for the real-time visualization and analysis of 3D LiDAR data obtained from various Velodyne HDL sensor models, such as the HDL-64E, HDL-32E, VLP-32, VLP-16, Puck, Puck LITE, Puck Hi-Res, Ultra Alpha, Alpha Prime, Velarray, Velabit, and Veladome. This application allows users to either visualize live data streams or review previously recorded data archived in .pcap files, while also offering the functionality to record live streams for future examination. With tools designed for displaying, selecting, and measuring data from captured points, VeloView supports custom color maps influenced by factors such as intensity-of-return, time, distance, azimuth, dual return type, and laser ID. Users have the option to export data in CSV format as XYZ coordinates or capture screenshots of the point cloud visualization. Recent enhancements have added features like compatibility with Velarray sensors, the ability to operate multiple sensors concurrently, and independent transformation of live data for each sensor, thereby expanding its usability and versatility. Overall, VeloView stands out as a powerful tool for professionals working with 3D LiDAR technology.
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