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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.

APISCRAPY is an AI-driven web scraping and automation platform converting any web data into ready-to-use data API. Other Data Solutions from AIMLEAP: AI-Labeler: AI-augmented annotation & labeling tool AI-Data-Hub: On-demand data for building AI products & services PRICE-SCRAPY: AI-enabled real-time pricing tool API-KART: AI-driven data API solution hub  About AIMLEAP AIMLEAP is an ISO 9001:2015 and ISO/IEC 27001:2013 certified global technology consulting and service provider offering AI-augmented Data Solutions, Data Engineering, Automation, IT and Digital Marketing services. AIMLEAP is certified as ‘The Great Place to Work®’. Since 2012, we have successfully delivered projects in IT & digital transformation, automation-driven data solutions, and digital marketing for 750+ fast-growing companies globally. Locations: USA | Canada | India| Australia

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.

Ango Hub is the quality-centric, versatile all-in-one data annotation platform for AI teams. Available both on the cloud and on-premise, Ango Hub allows AI teams and their data annotation workforce to annotate their data quickly and efficiently, without compromising on quality. Ango Hub is the first and only data annotation platform focused on quality. It has features enhancing the quality of your team's annotations such as centralized labeling instructions, a real-time issue system, review workflows, sample label libraries, consensus up to 30 annotators on the same asset, and more. Ango Hub is also versatile. It supports all of the data types your team might need: image, audio, text, video, and native PDF. It has close to twenty different labeling tools you can use to annotate your data, among them some which are unique to Ango Hub such as rotated bounding boxes, unlimited conditional nested questions, label relations, and table-based labeling for more complex labeling tasks.

Amazon SageMaker is a fully managed service that provides every developer and data scientist with the ability to build, train, and deploy machine learning (ML) models quickly. SageMaker removes the heavy lifting from each step of the machine learning process to make it easier to develop high quality models. Traditional ML development is a complex, expensive, iterative process made even harder because there are no integrated tools for the entire machine learning workflow. You need to stitch together tools and workflows, which is time-consuming and error-prone. SageMaker solves this challenge by providing all of the components used for machine learning in a single toolset so models get to production faster with much less effort and at lower cost. Amazon SageMaker Studio provides a single, web-based visual interface where you can perform all ML development steps. SageMaker Studio gives you complete access, control, and visibility into each step required.

The leading platform for entire computer vision lifecycle. Iterate from image annotation to accurate neural networks 10x faster. With our best-in-class data labeling tools transform your images / videos / 3d point cloud into high-quality training data. Train your models, track experiments, visualize and continuously improve model predictions, build custom solution within the single environment. Our self-hosted solution guaranties data privacy, powerful customization capabilities, and easy integration into your technology stack. A turnkey solution for Computer Vision: multi-format data annotation & management, quality control at scale and neural networks training in end-to-end platform. Inspired by professional video editing software, created by data scientists for data scientists — the most powerful video labeling tool for machine learning and more.

SuperAnnotate is the world's leading platform for building the highest quality training datasets for computer vision and NLP. With advanced tooling and QA, ML and automation features, data curation, robust SDK, offline access, and integrated annotation services, we enable machine learning teams to build incredibly accurate datasets and successful ML pipelines 3-5x faster. By bringing our annotation tool and professional annotators together we've built a unified annotation environment, optimized to provide integrated software and services experience that leads to higher quality data and more efficient data pipelines.

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.

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.

A class agnostic, pixel perfect automated annotation platform. Built for teams with lots of data, strict quality requirements, and little time. Scale your ground truth creation 10x, collaborate with unlimited team members and annotators, and seamlessly integrate it into your deep learning pipeline. Generate Ground Truth 10x faster by creating pixel-perfect annotations. Use V7’s intuitive tools to label data and automate your ML pipelines. The ultimate image and video annotation solution.

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.

Alegion is the data labeling solution for enterprise-grade Machine Learning. We lead the industry in streaming, high-resolution, high-density video annotation, delivering accurately-annotated, model-ready data to train and validate ML models. Alegion provides both the platform and workforce to operate with quality at scale, processing structured and unstructured data including video, image, audio, and text. Our ML powered platform speeds up task completion by as much as 70%, including classless object tracking and single click smart polygon generation. Segmentation options include Keypoint, Bounding Box, Polyline, & Polygon segmentation, for image and video. Semantic Segmentation tools deliver seamless entity boundaries with pixel perfect accuracy. NLP and NER capabilities support text and audio classification and sentiment analysis. The platform is highly configurable to support hybrid use cases. Available via SaaS (Alegion Control), Managed Platform, and Managed Labeling Services.

Clarifai is a leading AI platform for modeling image, video, text and audio data at scale. Our platform combines computer vision, natural language processing and audio recognition as building blocks for developing better, faster and stronger AI. We help our customers create innovative solutions for visual search, content moderation, aerial surveillance, visual inspection, intelligent document analysis, and more. The platform comes with the broadest repository of pre-trained, out-of-the-box AI models built with millions of inputs and context. Our models give you a head start; extending your own custom AI models. Clarifai Community builds upon this and offers 1000s of pre-trained models and workflows from Clarifai and other leading AI builders. Users can build and share models with other community members. Founded in 2013 by Matt Zeiler, Ph.D., Clarifai has been recognized by leading analysts, IDC, Forrester and Gartner, as a leading computer vision AI platform. Visit clarifai.com

Lodestar is a complete management suite for developing computer vision models from video data. Label hours of video using the world’s first real-time active learning data annotation platform and accelerate high-quality dataset and computer vision model creation. Automated data preparation allows you to drag and drop 10 hours of video into a single project. No data curation needed and multiple video formats supported. Continuous model training and a shared, managed dataset allow annotators and data scientists to collaborate and create a functional object detection model in an hour. Unlimited labels with every plan.

Leverage UBIAI's powerful labeling platform to train and deploy your custom NLP model faster than ever! When dealing with semi-structured text such as invoices or contracts, preserving document layout is key to training a high-performance model. Combining natural language processing and computer vision, UBIAI’s OCR feature allows you to perform NER, relation extraction, and classification annotation directly on native PDF documents, scanned images or pictures from your phone without losing any layout information, resulting in a significant boost of your NLP model performance. With UBIAI text annotation tool you can perform named entity recognition (NER), relation extraction and document classification all in the same interface. Unlike other tools, UBIAI enables you to create nested and overlapping entities containing multiple relations.

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.

Roboflow has everything you need to build and deploy computer vision models. Connect Roboflow at any step in your pipeline with APIs and SDKs, or use the end-to-end interface to automate the entire process from image to inference. Whether you’re in need of data labeling, model training, or model deployment, Roboflow gives you building blocks to bring custom computer vision solutions to your business.

Deep Block is the world's fastest AI-powered remote sensing imagery analysis solution. Train your own AI models to detect instantly any objects in large satellite, aerial, and drone images. Deep Block's no-code data labeling interface lets you achieve your MLOps projects in days, with no prior expertise. Instead of hiring your own in-house AI engineering team, anybody can start training their own AI. If you have a mouse and a keyboard, you can use our web-based platform, check our project library for inspiration, and choose between 9 out-of-the-box AI training modules (image segmentation, object detection, facial detection, facial comparison…) to get you started. The power of Deep Block is not limited to training your own AI. Once, your AI model is ready, Deep Block's high-performance AI models can deliver very accurate results when detecting objects (0.9 mAP) and with minimum false positives (0.9 recall).

Innovation is our nucleus. Cogito shoulders AI enterprises and business initiatives by deploying a proficient workforce for data annotation, content moderation and any other data processing services. Our data enrichment services provide one-stop solutions for all your data-related needs. Our scalable, immensely experienced, brilliant minds unite their knowledge to meet your requirements swiftly with precise accuracy while maintaining full data security and confidentiality. We specializes in Human Empowered Automation. Our mission is to help our customers innovate and scale by solving their day-to-day data needs. Using our skilled on-demand workforce, we partner with Artificial Intelligence, Technology and eCommerce clients to develop high-quality data sets used to build and enhance various cutting-edge business applications. Delivering cost-effective, highly accurate, completely scalable, and secure data enrichment solutions for Businesses and AI Enterprises.

Radically efficient machine teaching. An annotation tool powered by active learning. Prodigy is a scriptable annotation tool so efficient that data scientists can do the annotation themselves, enabling a new level of rapid iteration. Today’s transfer learning technologies mean you can train production-quality models with very few examples. With Prodigy you can take full advantage of modern machine learning by adopting a more agile approach to data collection. You'll move faster, be more independent and ship far more successful projects. Prodigy brings together state-of-the-art insights from machine learning and user experience. With its continuous active learning system, you're only asked to annotate examples the model does not already know the answer to. The web application is powerful, extensible and follows modern UX principles. The secret is very simple: it's designed to help you focus on one decision at a time and keep you clicking – like Tinder for data.

Segments.ai is the platform for computer vision experts to iterate more quickly between data labeling, model training and failure case discovery.

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.

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.

Viso Suite is the world’s only end-to-end platform for computer vision. It enables teams to rapidly train, create, deploy and manage computer vision applications – without writing code from scratch. Use Viso Suite to deliver industry-leading computer vision and real-time deep learning systems with low-code and automated software infrastructure. The use of traditional development methods, fragmented software tools, and the lack of experienced engineers are costing organizations lots of time and leading to inefficient, low-performing, and expensive computer vision systems. Build and deploy better computer vision applications faster by abstracting and automating the entire lifecycle with Viso Suite, the all-in-one enterprise vision platform.​ Collect data for computer vision annotation with Viso Suite. Use automated collection capabilities to gather high-quality training data. Control and secure all data collection. Enable continuous data collection to further improve your AI models.

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.

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.

The Appen platform combines human intelligence from over one million people all over the world with cutting-edge models to create the highest-quality training data for your ML projects. Upload your data to our platform and we provide the annotations, judgments, and labels you need to create accurate ground truth for your models. High-quality data annotation is key for training any AI/ML model successfully. After all, this is how your model learns what judgments it should be making. Our platform combines human intelligence at scale with cutting-edge models to annotate all sorts of raw data, from text, to video, to images, to audio, to create the accurate ground truth needed for your models. Create and launch data annotation jobs easily through our plug and play graphical user interface, or programmatically through our API.

John Snow Labs' Generative AI Lab is a cutting-edge platform designed to empower enterprises with the ability to develop, customize, and deploy state-of-the-art generative AI models. The lab provides a robust, end-to-end solution that simplifies the integration of generative AI into business operations, making it accessible to organizations of all sizes and industries. The Generative AI Lab offers a no-code environment, allowing users to create sophisticated AI models without needing extensive programming expertise. This democratizes AI development, enabling business professionals, data scientists, and developers to collaboratively build and deploy models that can transform data into actionable insights. The platform is built on top of a rich ecosystem of pre-trained models, advanced NLP capabilities, and a comprehensive suite of tools that streamline the process of customizing AI for specific business needs.

Systematically manage the end-to-end AI pipeline, from raw data to production. Build custom models that are sensitive to your operations, powering competitive advantage. Build a diverse AI workforce that can easily build and deploy AI, all without a single line of code. Put AI into action anywhere, on the factory floor, in outer space, or anywhere in between. Invest in a proven platform, deployed in some of the most data-sensitive environments. Assisted user flows to walk you through creating your first model. Rather than siloing enterprise data across cloud providers and hardware devices, centralize all media into a single, curated library that is optimized for discoverability.

RapidMiner is reinventing enterprise AI so that anyone has the power to positively shape the future. We’re doing this by enabling ‘data loving’ people of all skill levels, across the enterprise, to rapidly create and operate AI solutions to drive immediate business impact. We offer an end-to-end platform that unifies data prep, machine learning, and model operations with a user experience that provides depth for data scientists and simplifies complex tasks for everyone else. Our Center of Excellence methodology and the RapidMiner Academy ensures customers are successful, no matter their experience or resource levels. Simplify operations, no matter how complex models are, or how they were created. Deploy, evaluate, compare, monitor, manage and swap any model. Solve your business issues faster with sharper insights and predictive models, no one understands the business problem like you do.

We would like to introduce ourselves, to your esteemed organization as ROORA, which deals with AI training data annotation services in India. We ROORA is a professional outsourcing service company, provides a wide range of services in outsourcing. We offer high-quality image annotation services for Machine Learning or AI-based other applications working with Image data sets. We offer our services are in time with flexible scalability to handle any volume of data. Our some expertised use cases are mentioned here to find in which types of machine learning model training it used to create the training data sets for visual based perception model. We ensure 100% data security. For this we deploys a workforce of annotators who sign up with higher degree of security.

Accelerate the end-to-end machine learning lifecycle. Empower developers and data scientists with a wide range of productive experiences for building, training, and deploying machine learning models faster. Accelerate time to market and foster team collaboration with industry-leading MLOps—DevOps for machine learning. Innovate on a secure, trusted platform, designed for responsible ML. Productivity for all skill levels, with code-first and drag-and-drop designer, and automated machine learning. Robust MLOps capabilities that integrate with existing DevOps processes and help manage the complete ML lifecycle. Responsible ML capabilities – understand models with interpretability and fairness, protect data with differential privacy and confidential computing, and control the ML lifecycle with audit trials and datasheets. Best-in-class support for open-source frameworks and languages including MLflow, Kubeflow, ONNX, PyTorch, TensorFlow, Python, and R.

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.

Flexible Vision is an AI machine vision software and hardware solution that enables your team to quickly and easily solve difficult visual inspections. The cloud portal allows your teams to collaborate and share vision inspection programs across factory floors. Collect 5-10 images of good parts and bad parts. Our software will optionally increase this sample size with augmentation. With a click of a button, your model will begin to be created. Your model will be ready for production in a matter of minutes. Your AI model will automatically deploy and be ready for validation. Download or sync the model to as many on-prem production lines as needed. Our high speed industrial processors quickly process your images. Simply select the ai model from a dropdown and watch the detections live on screen. Our systems are designed for either manual inspection stations or incorporated into traditional factory automation. Our systems are IO and field-bus compatible.

When you need transcription, data validation, classification, sentiment analysis, or other related tasks, UHRS can give you what you need. We provide human intelligence to train machine learning models to help you solve some of your most challenging problems. We make it easy for judges to access UHRS anywhere, at any time. All that’s needed is an internet connection, and judges are good to go. Work on tasks like video annotation in just a few minutes. With UHRS, you can classify thousands of images quickly and easily. Train your products and tools with improved image detection, boundary recognition, and more with high quality annotated image data. Classify images, semantic segmentation, object detection. Validating audio to text, conversation, and relevance. Identify sentiment of a tweet, and document classification. Ad hoc data collection tasks, information correction/moderation, and survey.

Experience unparalleled functionality with a state-of-the-art AI data platform that works smarter to deliver quality data and launch successful AI projects. ShaipCloud utilizes patented technology to collect, track, and monitor workloads, transcribe audio and utterances, annotate text, images, and video, as well as manage quality control and data exchange. Your AI project gets the highest quality data possible. Not only do you get it quickly and at an affordable cost but as your AI project grows, ShaipCloud grows with it through scalability and platform integrations required to make your job easier and deliver successful results. The platform simplifies workflow, reduces the friction of working with a distributed global workforce, and provides greater visibility, and real-time quality control. There are data platforms. Then there are AI data platforms. The secure ShaipCloud human-in-the-loop platform offers the functionality to collect, transform and annotate data.

We label your data with the higher quality standards to fulfill the needs of the most complex AI projects, using our proprietary labeling platform. Now you can get back to creating the products your customers love. We provide an end-to-end solution for image annotation with fast labeling tools, synthetic data generation, data management, automation features and annotation services on-demand with integrated tooling to accelerate and finish computer vision projects. When every pixel matters, you need accurate, AI-powered intuitive image annotation tools to support your specific use case, including instances, attributes and much more. Our in-house highly trained data labelers are able to deal with any data challenge. As your data labeling needs grow over time, you can count on us to scale the workforce necessary to meet your goals, and in contrast to crowdsourcing platforms your data quality will not suffer.

AI today is blocked by lack of labeled data, not models. Unblock AI with the first data-centric AI development platform powered by a programmatic approach. Snorkel AI is leading the shift from model-centric to data-centric AI development with its unique programmatic approach. Save time and costs by replacing manual labeling with rapid, programmatic labeling. Adapt to changing data or business goals by quickly changing code, not manually re-labeling entire datasets. Develop and deploy high-quality AI models via rapid, guided iteration on the part that matters–the training data. Version and audit data like code, leading to more responsive and ethical deployments. Incorporate subject matter experts' knowledge by collaborating around a common interface, the data needed to train models. Reduce risk and meet compliance by labeling programmatically and keeping data in-house, not shipping to external annotators.

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.

The most flexible data annotation tool. Quickly installable. Build custom UIs or use pre-built labeling templates. Configurable layouts and templates adapt to your dataset and workflow. Detect objects on images, boxes, polygons, circular, and key points supported. Partition the image into multiple segments. Use ML models to pre-label and optimize the process. Webhooks, Python SDK, and API allow you to authenticate, create projects, import tasks, manage model predictions, and more. Save time by using predictions to assist your labeling process with ML backend integration. Connect to cloud object storage and label data there directly with S3 and GCP. Prepare and manage your dataset in our Data Manager using advanced filters. Support multiple projects, use cases, and data types in one platform. Start typing in the config, and you can quickly preview the labeling interface. At the bottom of the page, you have live serialization updates of what Label Studio expects as an input.

Voxel51 is the company behind FiftyOne, the open-source toolkit that enables you to build better computer vision workflows by improving the quality of your datasets and delivering insights about your models. Explore, search, and slice your datasets. Quickly find the samples and labels that match your criteria. Use FiftyOne’s tight integrations with public datasets like COCO, Open Images, and ActivityNet, or create your own datasets from scratch. Data quality is a key limiting factor in model performance. Use FiftyOne to identify, visualize, and correct your model’s failure modes. Annotation mistakes lead to bad models, but finding mistakes by hand isn’t scalable. FiftyOne helps automatically find and correct label mistakes so you can curate higher-quality datasets. Aggregate performance metrics and manual debugging don’t scale. Use the FiftyOne Brain to identify edge cases, mine new samples for training, and much more.

Superb AI provides a new generation machine learning data platform to AI teams so that they can build better AI in less time. The Superb AI Suite is an enterprise SaaS platform built to help ML engineers, product teams, researchers and data annotators create efficient training data workflows, saving time and money. Majority of ML teams spend more than 50% of their time managing training datasets Superb AI can help. On average, our customers have reduced the time it takes to start training models by 80%. Fully managed workforce, powerful labeling tools, training data quality control, pre-trained model predictions, advanced auto-labeling, filter and search your datasets, data source integration, robust developer tools, ML workflow integrations, and much more. Training data management just got easier with Superb AI. Superb AI offers enterprise-level features for every layer in an ML organization.

Human-powered Data Processing for AI and Automation. Our managed teams have served hundreds of clients across use cases that range from simple to complex. Our proven processes deliver quality data quickly and are designed to scale and change along with your needs. Our flexible platform integrates with any commercial or proprietary tool set so you can use the right tool for the job. Flexible contract terms and pricing help you to get started quickly and to scale up and down as needed with no lock-in. For nearly a decade, clients have trusted our secure IT-Infrastructure and workforce vetting processes to deliver quality work remotely. We maintained operations during COVID-19 lockdowns, keeping our clients up-and-running and adding geographic and vendor diversity to their workforces.

Our proprietary AI training data platform combines the best of data annotation and computer vision capabilities with the power of our AI Community of professional annotators - all managed within the same platform experience. GT Manage: Our proprietary platform management tool for our 1M + community. GT Annotate: Our proprietary data annotation software. GT Data: Our global expertise in data creation and collection. It all starts with human-powered AI. Our fully-automated platform allows for sophisticated data annotation across all data types within the same software, while also providing seamless project and AI Community management. Ground Truth (GT) Annotate is our proprietary data annotation software, carefully designed to enable teams to be more efficient, fast and accurate creating quality AI training datasets at scale. Below are a few examples of the technology in action.

Keylabs is a state-of-the-art platform that boosts up the process of preparing visual data for machine learning. Keylabs is created as a platform that incorporates state-of-the-art, performance oriented and user friendly annotation tools with built in machine learning and operation management capabilities. Supports all datasets formats for image and video annotation, including semantic segmentation, BB, cuboid, 3D Point Cloud, polygon, skeletal, key points, lane annotation, bitmask. Precision up to 99.9%*

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.

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.

Your AI Data Platform Quality Training Data for Enterprise Data Labeling Software for Machine Learning Free on your Kubernetes Cluster Up to 3 Users. TRUSTED BY 5,000 HAPPY USERS WORLDWIDE Images, Video, Text Spatial Tools Quadratic Curves, Cuboids, Segmentation, Box, Polygons, Lines, Keypoints, Classification Tags, and More Use the exact spatial tool you need. All tools are easy to use, fully editable, and powerful ways to represent your data. All tools are available in Video. Attribute Tools More Meaning. More degrees of freedom through: Radio buttons. Multiple select. Date pickers. Sliders. Conditional logic. Directional Vectors. And more! You can capture complex knowledge and encode it into your AI. Streaming Data Automation Up to 10x Faster then manual labeling

The Descartes Labs Platform is designed to answer some of the world’s most complex and pressing geospatial analytics questions. Our customers use the platform to build algorithms and models that transform their businesses quickly, efficiently, and cost-effectively. By giving data scientists and their line-of-business colleagues the best geospatial data and modeling tools in one package, we help turn AI into a core competency. Data science teams can use our scaling infrastructure to design models faster than ever, using our massive data archive or their own. Customers rely on our cloud-based platform to quickly and securely scale computer vision, statistical, and machine learning models to inform business decisions with powerful raster-based analytics. Our extensive API documentation, tutorials, guides and demos provide a deep knowledge base for users allowing them to quickly deploy high-value applications across diverse industries.

The current state of the art in training dataset development for deep learning systems is manual annotation. AI model training is currently done manually around the world with millions of people involved in the task. Meanwhile, AI scientists wait for data with poor services provided and while their work sits in limbo, budgets change, their projects get canceled and new initiatives cannot be fulfilled because they are too expensive. Only 10% of new AI initiatives are risked and only 5% of those come to fruition. The market needs the machine to train the machine. Early on Clear Image AI made the decision to create automation services that would reduce as much as possible manual annotation. We provide the fastest and most cost-effective automated data annotation service to create training data sets for AI projects. The auto-training pipeline is based on the human-in-the-loop pipeline but substitutes manual contribution with algorithms.