Dataloop AI
Manage unstructured data and pipelines to develop AI solutions at amazing speed.
Enterprise-grade data platform for vision AI. Dataloop is a one-stop shop for building and deploying powerful computer vision pipelines data labeling, automating data ops, customizing production pipelines and weaving the human-in-the-loop for data validation. Our vision is to make machine learning-based systems accessible, affordable and scalable for all.
Explore and analyze vast quantities of unstructured data from diverse sources. Rely on automated preprocessing and embeddings to identify similarities and find the data you need. Curate, version, clean, and route your data to wherever it’s needed to create exceptional AI applications.
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Super.AI
Easy integration streamlines data cleaning and labeling. Deploy and monitor AI applications using your existing platforms. Start with your target business ROI and define quality, cost, and speed priorities. Super.AI will guarantee the results. Leverage any combination of AI, human, or RPA software bot. Mix and match AI models from Amazon, Google, and more. First-generation IDP solutions used basic AI techniques that require extensive setup, post-processing, and exception handling. Super.AI IDP is a next-generation solution built on top of a unified AI platform that can process any document or unstructured data type, leverages the latest AI for the best results, and guarantees outcomes. An on-demand data processing crowd accelerates automation and reduces cost and complexity. Users define trade-offs between quality, cost, and speed, and the platform automatically selects the right combination of AI, human, and bot workers to guarantee results.
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Amazon Rekognition
Amazon Rekognition makes it easy to add image and video analysis to your applications using proven, highly scalable, deep learning technology that requires no machine learning expertise to use. With Amazon Rekognition, you can identify objects, people, text, scenes, and activities in images and videos, as well as detect any inappropriate content. Amazon Rekognition also provides highly accurate facial analysis and facial search capabilities that you can use to detect, analyze, and compare faces for a wide variety of user verification, people counting, and public safety use cases.
With Amazon Rekognition Custom Labels, you can identify the objects and scenes in images that are specific to your business needs. For example, you can build a model to classify specific machine parts on your assembly line or to detect unhealthy plants. Amazon Rekognition Custom Labels takes care of the heavy lifting of model development for you, so no machine learning experience is required.
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Labelbox
The training data platform for AI teams. A machine learning model is only as good as its training data. Labelbox is an end-to-end platform to create and manage high-quality training data all in one place, while supporting your production pipeline with powerful APIs. Powerful image labeling tool for image classification, object detection and segmentation. When every pixel matters, you need accurate and intuitive image segmentation tools. Customize the tools to support your specific use case, including instances, custom attributes and much more. Performant video labeling editor for cutting-edge computer vision. Label directly on the video up to 30 FPS with frame level. Additionally, Labelbox provides per frame label feature analytics enabling you to create better models faster. Creating training data for natural language intelligence has never been easier. Label text strings, conversations, paragraphs, and documents with fast & customizable classification.
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