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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LabelFort
LabelFort is an audit-ready data annotation platform and managed annotation service from Predusk AI, built for AI teams whose training data has to survive an audit. AI pre-labelling handles the mechanical work, one of five QA workflows (single pass, maker checker, double-blind, AI review, AI consensus) reviews every record and ends in a human decision, and every dataset exports as an evidence pack: versioned pre-labels, an immutable log of who labelled, reviewed, and approved each record, and per-cohort inter-annotator agreement, mapped to EU AI Act, HIPAA, GDPR, SOC 2, and DPDP documentation. Image, video, text, audio, LiDAR, DICOM, document, and RLHF annotation run on one platform with an annotation canvas, ontology and form builder, QA console, audit log viewer, model registry, and dataset manager. Eight roles with separate routing and access checks. Teams can run the platform themselves or add a trained domain specialist team through Hire a Team.
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Hive Data
Create training datasets for computer vision models with our fully managed solution. We believe that data labeling is the most important factor in building effective deep learning models. We are committed to being the field's leading data labeling platform and helping companies take full advantage of AI's capabilities. Organize your media with discrete categories. Identify items of interest with one or many bounding boxes. Like bounding boxes, but with additional precision. Annotate objects with accurate width, depth, and height. Classify each pixel of an image. Mark individual points in an image. Annotate straight lines in an image. Measure, yaw, pitch, and roll of an item of interest. Annotate timestamps in video and audio content. Annotate freeform lines in an image.
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Labellerr
Labellerr is a data annotation platform designed to expedite the preparation of high-quality labeled datasets for AI and machine learning models. It supports various data types, including images, videos, text, PDFs, and audio, catering to diverse annotation needs. The platform offers automated annotation features, such as model-assisted labeling and active learning, to accelerate the labeling process. Additionally, Labellerr provides advanced analytics and smart quality assurance tools to ensure the accuracy and reliability of annotations. For projects requiring specialized knowledge, Labellerr offers expert-in-the-loop services, including access to professionals in fields like healthcare and automotive.
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