CUBIC
The CUBIC® Comprehensive Utility Billing and Control System is designed to provide a powerful billing and CIS (Customer Information System) for utility operations. It supports robust customer information, billing, and cash receipting functions, usage, and bill/payment history, plus a myriad of report options. It supplies important functions like multiple search criteria for account inquiries, real-time updating and electronic input, and receipting interfaces. Reports provide extensive statistics based on customers, services, rates, routes, and much more. CUBIC® powerful receipt processing supports traditional receipt processing and high-speed scanning systems. Everything is online including bill/payment and usage history, deposit and service information, as well as a consumption graph for each individual service. Accounting is highly controlled by the system as well. NARUC reporting is easily accomplished with CUBIC®.
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Leopard Cube
Leopard Cube is a “legal for trade measurement” certified freight dimensioning system designed to measure and calculate the cubic weight of any sized item. It innovatively combines the latest rugged mobile scanning computers with a low-cost yet durable measuring tape to efficiently capture, store and communicate measurement data of parcels and pallets. Most importantly, Leopard Cube has a positive impact on your bottom line with it’s ability to realise the difference between third party cost estimations and real-time cubing analysis.
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RectLabel
An offline image annotation tool for object detection and segmentation. Draw polygons, cubic bezier curves, line segments, and points. Draw oriented bounding boxes in aerial images. Draw key points with a skeleton. Draw pixels with brushes and superpixels. Read/write in PASCAL VOC xml and YOLO text formats. Export to CreateML object detection and image classification formats. Export to COCO, Labelme, YOLO, DOTA, and CSV formats. Export indexed color mask images and grayscale mask images. Settings for objects, attributes, hotkeys, and labeling fast. Customize the label dialog to combine with attributes. 1-click buttons speed up selecting the object name. Auto-suggest works for more than 5000 object names. Search object, attribute, and image names in a gallery view. Automatic labeling using Core ML models. Automatic text recognition using OCR. Video to image frames, augment images, etc. Supports English, Chinese, Korean, and 11 other languages.
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cubic
Cubic is an AI-powered code review platform that automatically analyzes pull requests in GitHub to help software teams catch bugs, enforce standards, and ship code faster by reducing manual review bottlenecks. It delivers context-aware feedback seconds after a PR is opened by examining the full repository history and patterns, surfacing inline comments that highlight bugs, anti-patterns, technical debt, and improvement suggestions that human reviewers might miss, and providing one-click fix options for simple issues. Cubic can generate clear PR summaries that explain the intent and impact of changes, intelligently order complex diffs into easier-to-review chunks, and offer a context-aware chat interface that lets developers ask questions or explore the codebase directly within the platform. Teams can define custom review rules and integrate business context from issue trackers like Jira, Linear, or Asana so that code reviews validate acceptance criteria as well as technical quality.
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