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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Kognition
Kognition AI security stops threats in real-time.
Transform legacy security into intelligent protection that pays for itself. Kognition AI integrates seamlessly with existing cameras and access control - no costly rip-and-replace required.
Why Security Leaders Choose Us:
✓ 24/7 AI Guardian that never misses threats or calls in sick
✓ Works with Axis, Hanwha, Avigilon, Genetec, Milestone, and other popular platforms and devices.
✓ Real-time alerts deliver actionable intelligence in seconds
✓ Easy to deploy enterprise-grade security
Perfect for corporate campuses, schools and universities, office buildings, hospitals, and retailers seeking modern security to reduce risk and improve staff, student, and tenant safety.
Transform your security team from reactive responders to proactive guardians with Kognition AI - schedule a demo today!
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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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