Best Data Labeling Software in the USA - Page 3
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Compare the Top Data Labeling Software in the USA as of February 2026 - Page 3
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Sixgill Sense
Sixgill
Every step of the machine learning and computer vision workflow is made simple and fast within one no-code platform. Sense allows anyone to build and deploy AI IoT solutions to any cloud, the edge or on-premise. Learn how Sense provides simplicity, consistency and transparency to AI/ML teams with enough power and depth for ML engineers yet easy enough to use for subject matter experts. Sense Data Annotation optimizes the success of your machine learning models with the fastest, easiest way to label video and image data for high-quality training dataset creation. The Sense platform offers one-touch labeling integration for continuous machine learning at the edge for simplified management of all your AI solutions. -
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Super.AI
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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Swivl
Education Bot, Inc
swivl is simplifying AI training. In general, data scientists typically spend 80% of their time on non-value-added tasks such as finding, cleaning, and annotating data. Our no-code SaaS platform helps teams outsource these data annotation tasks to a vetted network of data annotators to close the feedback loop in a cost-effective way. This involves the action of training, testing, and deploying machine learning models with an emphasis on natural language processing, audio, and generalized data categorization.Starting Price: $149/mo/user -
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Segments.ai
Segments.ai
Segments.ai is an advanced data labeling platform that allows users to label data from multiple sensors simultaneously, improving the speed and accuracy of labeling for robotics and autonomous vehicle (AV) applications. It supports 2D and 3D labeling, including point cloud annotation, and enables users to label moving and stationary objects with ease. The platform leverages smart automation tools like batch mode and ML-powered object tracking, streamlining workflows and reducing manual labor. By fusing 2D image data with 3D point cloud data, Segments.ai offers a more efficient and consistent labeling process, ideal for high-volume, multi-sensor projects. -
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Innotescus
Innotescus
Innotescus is a collaborative video and image annotation platform built to streamline Computer Vision development processes via seamless data handling, smart annotation tools, and intuitive collaboration features. Additionally, its data visualization tools and cross-functional collaboration features identify data bias early, improve data accuracy, and enable faster, cost-efficient deployment of high performance Artificial Intelligence. -
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Anolytics
Anolytics
Anolytics provides data annotation service for image, videos & text for machine learning and AI-based computer vision. Anolytics offers a low-cost annotation service for machine learning and artificial intelligence model developments. It is providing the precisely annotated data in the form of text, images and videos using the various annotation techniques while ensuring the accuracy and quality. It is specialized in Image Annotation, Video Annotation and Text Annotation with best accuracy. Anolytics is providing all leading types of data annotation service used as a data training in machine learning and deep learning. It offers Bounding Boxes, Semantic Segmentation, 3D Point Cloud Annotation and 3D Cuboid Annotation for fields like healthcare, autonomous driving or drone falying, retail, security surveillance and agriculture. Anolytics works with scalable solution, available at turnaround time and cost-effective pricing for clients across the globe. -
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Pure Moderation
Pure Moderation
Pure Moderation is a global business process outsourcing vendor specializing in a range of services. Our priority is to provide affordable solutions that are custom-tailored to the individual needs of our partners. Working with us allows you to operate your business more efficiently. Whether your requirements involve small, time-based operations or large deployments, our team can quickly scale up or down to suit your needs. With office locations throughout Asia, Pure Moderation deploys various teams that provide support in multiple languages. Our clients range from small start-ups to global organizations – whatever size your business is, let us help you! Pure Moderation is a global leader in BPO services with extensive experience, a significant number of interactions per month and a high rate of client retention. We are also proud of our after-sales client care which includes trustworthy guarantees, staff training, and onsite & offsite support. -
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Centaur Labs
Centaur Labs
Upload your dataset to our secure cloud and create labeling tasks. When you're ready, launch your tasks to our network of medical experts. By aggregating many opinions, we achieve a level of accuracy proven to outperform any individual board-certified doctor. We only reward the top performers, so our medical experts give 100% effort on every case they see — ensuring quality at every step, and allowing us to pass cost savings onto you. Our on-demand network of medical experts produces tens of thousands of medical annotations per day. -
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Gretel
Gretel.ai
Privacy engineering tools delivered to you as APIs. Synthesize and transform data in minutes. Build trust with your users and community. Gretel’s APIs grant immediate access to creating anonymized or synthetic datasets so you can work safely with data while preserving privacy. Keeping the pace with development velocity requires faster access to data. Gretel is accelerating access to data with data privacy tools that bypass blockers and fuel Machine Learning and AI applications. Keep your data contained by running Gretel containers in your own environment or scale out workloads to the cloud in seconds with Gretel Cloud runners. Using our cloud GPUs makes it radically more effortless for developers to train and generate synthetic data. Scale workloads automatically with no infrastructure to set up and manage. Invite team members to collaborate on cloud projects and share data across teams. -
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Automaton AI
Automaton AI
With Automaton AI’s ADVIT, create, manage and develop high-quality training data and DNN models all in one place. Optimize the data automatically and prepare it for each phase of the computer vision pipeline. Automate the data labeling processes and streamline data pipelines in-house. Manage the structured and unstructured video/image/text datasets in runtime and perform automatic functions that refine your data in preparation for each step of the deep learning pipeline. Upon accurate data labeling and QA, you can train your own model. DNN training needs hyperparameter tuning like batch size, learning, rate, etc. Optimize and transfer learning on trained models to increase accuracy. Post-training, take the model to production. ADVIT also does model versioning. Model development and accuracy parameters can be tracked in run-time. Increase the model accuracy with a pre-trained DNN model for auto-labeling. -
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Toloka AI
Toloka AI
Toloka AI offers a data-centric environment that supports fast and scalable AI development across the ML lifecycle with the help of human insight gathered in a responsible & secure way. Toloka is used by organizations in e-commerce, R&D, banking, autonomous vehicles, web services, and more. Toloka relies on a geographically diverse crowd of several million registered users and state-of-the-art technologies for managing data labeling and human-in-the-loop processes. Established in 2014, the company has offices around the world, with headquarters in Lucerne. -
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Qii.AI
Qii.AI
Traditional inspection methods are slow and error-prone. Qii.AI helps you find defects faster with an AI platform that accurately labels, trains, and manages your drone inspection data. We bring all of your stakeholders together into a single platform that is easy to use and accessible from anywhere—giving you a digital, better-than-ever inspection experience. With Qii.AI, you can view inspection data, create 3D digital twins, and manage teams. You label and train your AI models, creating your organization’s mission-specific intelligence. When we entered the drone inspection space, we saw a big problem: We could collect massive volumes of data during inspections but didn’t have a solution that made it easy to manage and share this information. So, we created Qii.AI to help inspection teams find and fix defects faster. -
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Synthesis AI
Synthesis AI
A synthetic data platform for ML engineers to enable the development of more capable AI models. Simple APIs provide on-demand generation of perfectly-labeled, diverse, and photoreal images. Highly-scalable cloud-based generation platform delivers millions of perfectly labeled images. On-demand data enables new data-centric approaches to develop more performant models. An expanded set of pixel-perfect labels including segmentation maps, dense 2D/3D landmarks, depth maps, surface normals, and much more. Rapidly design, test, and refine your products before building hardware. Prototype different imaging modalities, camera placements, and lens types to optimize your system. Reduce bias in your models associated with misbalanced data sets while preserving privacy. Ensure equal representation across identities, facial attributes, pose, camera, lighting, and much more. We have worked with world-class customers across many use cases. -
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Sama
Sama
We offer the highest quality SLA (>95%), even on the most complex workflows. Our team assists with anything from implementing a robust quality rubric to raising edge cases. As an ethical AI company, we have provided economic opportunities for over 52,000 people from underserved and marginalized communities. ML Assisted annotation created up to 3-4x efficiency improvement for a single class annotation. We quickly adapt to ramp-ups, focus shifts, and edge cases. ISO certified delivery centers, biometric authentication, and user authentication with 2FA ensure a secure work environment. Seamlessly re-prioritize tasks, provide quality feedback, and monitor models in production. We support data of all types. Get more with less. We combine machine learning and humans in the loop to filter data and select images relevant to your use case. Receive sample results based on your initial guidelines. We work with you to identify edge cases and recommend annotation best practices. -
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Kern
Kern AI
kern shines where other approaches fail. We enable data-driven use cases in numerous industries and domains. If needed, fully inhouse. On public and private cloud or on-premises. The core of kern is Weak Supervision, a technique to automatically integrate noisy data heuristics. This enables 100x labeling speed. As we enrich your records with valuable metadata, this data can be prioritized and sliced. This ensures both saving time and increasing quality. kern is designed to integratae subject matter experts into the AI development cycle. Work in collaboration to solve actual pain points. The security of your data is our top priority. We offer kern both on public and private cloud as well as on-premises, ensuring high quality data security. Our labeling solution is designed to work with any kind of JSON structure. This means that we can work with many different formats, such as CSV files, texts, images or even time series data. -
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Zastra
RoundSqr
Extend the platform to support annotation for segmentation. The Zastra repository will have algorithms that support segmentation for enabling active learning of datasets. Provide end-to-end ML ops-version control for datasets / experiments and templated pipelines, to deploy the model to standard cloud-based environments and the Edge. Incorporate advances in Bayesian deep learning in the active learning framework. Further, improve the quality of annotations using specialized architectures like Bayesian CNN. Our experts have spent countless hours hand-crafting this breakthrough solution for you. While we’re still actively adding features to the platform, we just couldn’t wait to take you on a test drive! Zastra’s key capabilities include Active-Learning based object classification, object detection, localization, and segmentation. We can do this for images, video, audio, text, and point cloud data. -
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Surge AI
Surge AI
Surge AI is the world’s best data labeling platform and workforce, providing the highest quality data to today’s top tech companies and researchers. We’re built from the ground up to tackle the extraordinary challenges of LLMs, RLHF, NLP, and other advanced labeling tasks — with an elite workforce, stunning quality, rich labeling tools, and modern APIs. -
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Zuru
Zuru Services
End to end scalable annotation solutions with swift turn-around-time & stellar accuracy. 2D/3D bounding boxes, polygons, polylines, landmark & semantic segmentation solutions to serve use cases ranging from LiDAR to Geo spatial imagery. Zuru’s teams work on complicated computer vision algorithms with complex edge cases & taxonomies. Text annotations in all major global languages including languages like Bahasa, Cantonese, Finnish, Hungarian & more. Fully managed & trained linguistic labelling experts who’ve annotated more than 10 million data points in industries ranging from Retail to BFSI to Healthcare. Be it sophisticated labelling for customer centre automation, basic transcription, Audio diarization, Zuru’s teams have done it all. Multilingual translator & interpreter workforce well versed in an array of accents and dialects helping AI teams understand cultural nuances in languages across geographies. -
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Shaip
Shaip
Shaip offers end-to-end generative AI services, specializing in high-quality data collection and annotation across multiple data types including text, audio, images, and video. The platform sources and curates diverse datasets from over 60 countries, supporting AI and machine learning projects globally. Shaip provides precise data labeling services with domain experts ensuring accuracy in tasks like image segmentation and object detection. It also focuses on healthcare data, delivering vast repositories of physician audio, electronic health records, and medical images for AI training. With multilingual audio datasets covering 60+ languages and dialects, Shaip enhances conversational AI development. The company ensures data privacy through de-identification services, protecting sensitive information while maintaining data utility. -
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Sanitas AI
Sanitas AI
Harness data science to amplify traditional knowledge and ensure better and bias-free health outcomes for native communities. We're on a mission to bridge research, medicine, and data science. We want to build an all-in-one data science platform for the research and medical industry. Machine learning, generative AI, and data science can help revolutionize these fields, and we want to bring those advancements to you. Our platform enables you to manage, classify, and analyze your photo & video data. Automatically label images, extract insights, and generate synthetic data based on your work. Bias detection and community collaboration features coming soon. We aim to create something that is for social good too. Apart from closing the gap of accessibility of technology, we are aiming to ensure that the models that we use are free from algorithmic biases that are commonplace in technology. -
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Ocular
Ocular
Ocular lets you search, visualize, and take action on your work and engineering tools and data on one unified platform. Ocular is a cloud and artificial intelligence company, backed by Y Combinator, bringing enterprise AI and search to the workplace and engineering. We're building the future of work and engineering. -
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Sapien
Sapien
High-quality training data is essential for all large language models, whether you build the data yourself or use pre-existing models. A human-in-the-loop labeling process delivers real-time feedback for fine-tuning datasets to build the most performant and differentiated AI models. We provide precise data labeling with faster human input to enhance the robustness and input diversity to improve the adaptability of LLMs for your enterprise applications. Our labeler management allows us to segment teams— you only pay for the level of experience and skill sets your data labelling project requires. Sapien can quickly scale labelling operations up and down for annotation projects large and small. Human intelligence at scale. We can customize labeling models to handle your specific data types, formats, and annotation requirements. -
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Hasty
Hasty
The Hasty platform provides everything needed to go from raw images and videos to production-ready models. The Hasty platform is helping world-class organizations deliver AI to production. The idea behind Hasty's annotation solution is simple. You annotate images, and we use the annotations to train AI models making it faster to create more annotations. This continuously improving approach ensures that you build your data asset faster than ever before. With AI consensus scoring, no complex review workflows or expensive redundancies are needed. We use AI to find potential errors, which can then be fixed at the click of a button. With the model playground, the platform enables the quick creation of models, tuning them to the smallest parameter and deploying them in our data annotation environment to enable unparalleled annotation speed. The models can also be exported and deployed in your own environment. -
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Nexdata
Nexdata
Nexdata's AI Data Annotation Platform is a robust solution designed to meet diverse data annotation needs, supporting various types such as 3D point cloud fusion, pixel-level segmentation, speech recognition, speech synthesis, entity relationship, and video segmentation. The platform features a built-in pre-recognition engine that facilitates human-machine interaction and semi-automatic labeling, enhancing labeling efficiency by over 30%. To ensure high-quality data output, it incorporates multi-level quality inspection management functions and supports flexible task distribution workflows, including package-based and item-based assignments. Data security is prioritized through multi-role, multi-level authority management, template watermarking, log auditing, login verification, and API authorization management. The platform offers flexible deployment options, including public cloud deployment for rapid, independent system setup with exclusive computing resources. -
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Deepen
Deepen
Deepen AI offers advanced multi-sensor data labeling and calibration tools and services to accelerate computer vision training for autonomous vehicles, robotics, and more. Their annotation suite supports various key cases, including 2D and 3D bounding boxes, semantic and instance segmentation, polylines, and key points. The platform is AI-powered, featuring pre-labeling capabilities that can automatically label up to 80 common classes, improving productivity by seven times. It also includes machine learning-assisted segmentation, allowing users to segment objects with just a few clicks, and accurate object detection and tracking across frames to avoid duplicate efforts and save time. Deepen AI's calibration suite supports all key sensor types, such as LiDAR, camera, radar, IMU, and vehicle sensors. The tools enable seamless visualization and inspection of multi-sensor data integrity, and calculation of intrinsic and extrinsic calibration parameters in seconds. -
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understand.ai
understand.ai
Understand.ai provides cutting-edge ground truth annotation technology to handle complexity at scale. Their state-of-the-art annotation platform is designed to manage complex ground truth annotation projects, featuring scalable infrastructure that effortlessly handles high data volumes and projects of any size. It excels in customized data elevation and workflows, tailored to meet specific project needs while prioritizing compliance with stringent data privacy and security standards. User-friendly tools enable streamlined collaboration between customers and labeling partners, and automation capabilities significantly reduce manual annotation efforts, making large-scale ADAS/AD programs commercially feasible. Key features include multi-sensor integration, allowing seamless incorporation and processing of data from multiple LiDAR sensors for a comprehensive view of complex 3D environments and precise annotation. -
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Intel Geti
Intel
Intel® Geti™ software simplifies the process of building computer vision models by enabling fast, accurate data annotation and training. With capabilities like smart annotations, active learning, and task chaining, users can create models for classification, object detection, and anomaly detection without writing additional code. The platform also provides built-in optimizations, hyperparameter tuning, and production-ready models optimized for Intel’s OpenVINO™ toolkit. Designed to support collaboration, Geti™ helps teams streamline model development, from data labeling to model deployment. -
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Centific
Centific
Centific’s frontier AI data foundry platform, powered by NVIDIA edge computing, is purpose-built to accelerate AI deployments by increasing flexibility, security, and scalability through comprehensive workflow orchestration. It centralizes AI project management in a unified AI Workbench, overseeing pipelines, model training, deployment, and reporting within a single, streamlined environment, while it handles data ingestion, preprocessing, and transformation. RAG Studio simplifies retrieval-augmented generation workflows, the Product Catalog organizes reusable assets, and Safe AI Studio embeds built-in safeguards to ensure compliance, reduce hallucinations, and protect sensitive data. Its plugin-based modular architecture supports both PaaS and SaaS models with metering to monitor consumption, and a centralized model catalog offers version control, compliance checks, and flexible deployment options. -
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Tasq.ai
Tasq.ai
Tasq.ai delivers a powerful, no-code platform for building hybrid AI workflows that combine state-of-the-art machine learning with global, decentralized human guidance, ensuring unmatched scalability, control, and precision. It enables teams to configure AI pipelines visually, breaking tasks into micro-workflows that layer automated inference and quality-assured human review. This decoupled orchestration supports diverse use cases across text, computer vision, audio, video, and structured data, with rapid deployment, adaptive sampling, and consensus-based validation built in. Key capabilities include global deployment of highly screened contributors (“Tasqers”) for unbiased, high-accuracy annotations; granular task routing and judgment aggregation to meet confidence thresholds; and seamless integration into ML ops pipelines via drag-and-drop customization. -
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Claravine
Claravine
Claravine is redefining data integrity for the global enterprise. The Data Standards Cloud makes it easy for teams to standardize, connect, and control data collaboratively, across the organization. Leading brands use Claravine to take greater ownership and control of their data from the start, for better decisions, stickier consumer experiences, and increased ROI.
