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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Mindkosh
Mindkosh is the data platform for curating, labeling and validating datasets for your AI projects.
Our industry leading data annotation platform combines collaborative features with AI-assisted annotation features to provide a comprehensive suite of tools to label any kind of data, be it Images, videos or 3D pointclouds such as those from Lidar.
For images, Mindkosh offers semi-automatic segmentation, pre-labeling for bounding boxes and automatic OCR.
For videos, automatic interpolation can reduce massive amounts of manual annotation.
And for lidar, 1-click annotation allows you to create cuboids in just 1 click!
If you are simply looking to get your data labeled, our high quality data annotation services combined with an easy to use Python SDK and web-based review platform, provide an unmatched experience.
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OCI Data Labeling
OCI Data Labeling is a service that enables developers and data scientists to build accurately labelled datasets for training AI and machine-learning models. It supports documents (PDF, TIFF), images (JPEG, PNG), and text, allowing users to upload raw data, apply annotations (such as classification labels, object-detection bounding boxes, or key-value pairs), and export the results in line-delimited JSON for seamless integration into model-training workflows. The service offers custom templates for different annotation formats, user interfaces, and public APIs for dataset creation and management, and smooth interoperability with other data and AI services, so annotated data can feed directly into custom vision or language models, as well as Oracle’s AI services. OCI Data Labeling lets users create a dataset, generate records, annotate them, and then use the export snapshot for model development.
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BasicAI
BasicAI is a smart data annotation platform and managed labeling service provider that helps organizations create high-quality training data for artificial intelligence and machine learning models. The platform offers annotation services for 3D LiDAR, image data, audio and video tagging, NLP datasets, and RLHF and SFT dataset creation to support a wide range of AI applications. BasicAI combines AI-powered annotation tools, enterprise project management features, and specialized global annotation teams to deliver precise and scalable data labeling workflows. The company provides both managed labeling services and private deployment annotation platforms designed for organizations that require greater control over data security and processing environments. BasicAI supports industries such as automotive, robotics, logistics, manufacturing, agriculture, construction, smart cities, and healthcare with customized annotation solutions.
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