Ango Hub
Ango Hub is a quality-focused, enterprise-ready data annotation platform for AI teams, available on cloud and on-premise. It supports computer vision, medical imaging, NLP, audio, video, and 3D point cloud annotation, powering use cases from autonomous driving and robotics to healthcare AI.
Built for AI fine-tuning, RLHF, LLM evaluation, and human-in-the-loop workflows, Ango Hub boosts throughput with automation, model-assisted pre-labeling, and customizable QA while maintaining accuracy. Features include centralized instructions, review pipelines, issue tracking, and consensus across up to 30 annotators. With nearly twenty labeling tools—such as rotated bounding boxes, label relations, nested conditional questions, and table-based labeling—it supports both simple and complex projects. It also enables annotation pipelines for chain-of-thought reasoning and next-gen LLM training and enterprise-grade security with HIPAA compliance, SOC 2 certification, and role-based access controls.
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Rise Vision
Since 1992, Rise Vision has been empowering organizations worldwide to communicate, teach, and collaborate better. Trusted in over 100 countries, our all-in-one platform offers easy-to-use digital signage, seamless screen sharing, powerful emergency alerts, and support for a wide range of devices.
Whether you use our recommended media player and displays or bring your own hardware, Rise Vision ensures you’re up and running in minutes with 600+ professionally designed templates and world-class support.
Rise Vision is the all-in-one platform for digital signage, screen sharing, and emergency alerts. Rise Vision helps you communicate, teach, collaborate, and improve safety affordably with easy cloud-based digital signage, screen sharing, and emergency alerts—all backed by world-class support and flexible hardware options.
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Amazon Lookout for Vision
Easily create a machine learning (ML) model to spot anomalies from your live process line with as few as 30 images. Identify visual anomalies in real time to reduce and prevent defects and improve product quality. Prevent unplanned downtime and reduce operational costs by using visual inspection data to spot potential issues and take corrective action. Spot damage to a product’s surface quality, color, and shape during the fabrication and assembly process. Determine what’s missing based on the absence, presence, or placement of objects, like a missing capacitor in a printed circuit board. Detect defects with repeating patterns, such as repeated scratches in the same spot on a silicon wafer. Amazon Lookout for Vision is an ML service that uses computer vision to spot defects in manufactured products at scale. Spot product defects using computer vision to automate quality inspection.
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