Alternatives to Sapien

Manage unstructured data to develop AI solutions in record time. Enterprise-grade data platform with vision AI. Dataloop offers a single-stop-shop for building and deploying powerful data pipelines for computer vision, data labeling, automation of data operations, customizing production pipelines, and weaving in the human for data validation. Our vision is to make machine-learning-based systems affordable, scalable and accessible for everyone. Explore and analyze large quantities of unstructured information from diverse sources. Use automated preprocessing to find similar data and identify the data you require. Curate, version, cleanse, and route data to where it's required to create exceptional AI apps.

At Kili Technology, we believe the foundation of better AI is excellent data. Kili Technology's complete training data platform empowers all businesses to transform unstructured data into high quality data to train their AI and deliver successful AI projects. By using Kili Technology to build training datasets, teams will improve their productivity, accelerate go-to-production cycles of their AI projects and deliver quality AI.

The training data platform for AI teams. A machine learning model can only be as good as the training data it uses. Labelbox is an integrated platform that allows you to create and manage high quality training data in one place. It also supports your production pipeline with powerful APIs. A powerful image labeling tool for segmentation, object detection, and image classification. You need precise and intuitive image segmentation tools when every pixel is important. You can customize the tools to suit your particular use case, including custom attributes and more. The performant video labeling editor is for cutting-edge computer visual. Label directly on the video at 30 FPS, with frame level. Labelbox also provides per-frame analytics that allow you to create faster models. It's never been easier to create training data for natural language intelligence. You can quickly and easily label text strings, conversations, paragraphs, or documents with fast and customizable classification.

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: 1-30235 14656 Canada: +1 4378 370 063 India: +91 810 527 1615 Australia: +61 402 576 615

The most flexible data annotation software. Quickly installable. Create custom UIs, or use pre-built labeling template. Layouts and templates that can be customized to fit your dataset and workflow. Detect objects in images. Supported are boxes, polygons and key points. Partition an image into multiple segments. Use ML models to optimize and pre-label the process. Webhooks, Python SDK and API allow you authenticate, create tasks, import projects, manage model predictions and more. ML backend integration allows you to save time by using predictions as a tool for your labeling process. Connect to cloud object storage directly and label data there with S3 and GCP. Data Manager allows you to manage and prepare your datasets using advanced filters. Support multiple projects, use-cases, and data types on one platform. You can preview the labeling interface as you type in the configuration. You can see live serialization updates at the bottom of the page.

Supercharge your AI with human expertise. SUPA is here to help you streamline your data at any stage: collection, curation, annotation, model validation and human feedback. Better data, better AI. SUPA is trusted by AI teams to solve their human data needs.

Appen combines the intelligence of over one million people around the world with cutting-edge algorithms to create the best training data for your ML projects. Upload your data to our platform, and we will provide all the annotations and labels necessary to create ground truth for your models. An accurate annotation of data is essential for any AI/ML model to be trained. This is how your model will make the right judgments. Our platform combines human intelligence with cutting-edge models to annotation all types of raw data. This includes text, video, images, audio and video. It creates the exact ground truth for your models. Our user interface is easy to use, and you can also programmatically via our API.

T-Rex Label, an intelligent tool for complex scenario annotation that is applicable to various industries, is designed for complex scenarios. It is the best option for those who want to streamline their workflows, and create high-quality data sets. T-Rex's visual prompts allow it to predict multiple bounding boxes quickly in a single action, making it perfect for annotating dense and complex scenes. T-Rex's zero-shot detection ability allows it to annotate complex scenes across industries, without the need for fine-tuning. It supports diverse applications ranging in scope from agriculture to logistics. T-Rex helps algorithm engineers and researchers to speed up their annotation workflows. This allows them to create high-quality datasets. T-Rex2 is a significant step in the direction of more flexible and generic object detection, by leveraging complementary strengths from language and vision.

Lodestar is a complete solution for creating computer vision models from video data. The world's first active learning data annotation platform allows you to label hours of video and speed up the creation of high-quality datasets and computer vision models. Automated data preparation makes it easy to drag and drop 10 hours worth of video into one project. Multiple video formats are supported and no data curation is required. Annotators and data scientists can collaborate to create a functional object detection model within an hour by using continuous model training and a shared managed dataset. Every plan comes with unlimited labels.

Manual annotation is the current state-of-the-art in developing training datasets for deep learning systems. AI model training is done manually by millions of people around the globe. AI scientists are waiting for data and poor services while their work is in limbo. Budgets change, projects are canceled, and new initiatives can't be implemented because they're too expensive. Only 10% of AI initiatives are risked, and only 5% come to fruition. The market requires the machine to train the computer. Clear Image AI decided early on to create automation services which would reduce manual annotation as much as possible. We offer the fastest and most cost effective automated data annotation service for creating training data sets for AI. The auto-training pipeline is similar to the human-inthe-loop pipeline, but it replaces manual contributions with algorithms.

The best platform for the entire lifecycle of computer vision. You can go from image annotation to precise neural networks in 10x less time. Our best-in-class data labeling software transforms images, videos, and 3D point clouds into high-quality training data. You can train your models, track experiments and visualize the results. Our self-hosted solution guarantees data privacy, powerful customization capabilities and easy integration into any technology stack. Computer Vision is a turnkey solution: multi-format data management, quality control at scale, and neural network training in an end-to-end platform. Professional video editing software created by data scientists for data science -- the most powerful tool for machine learning and other purposes.

Nexdata's AI Data Annotation Platform provides a robust solution to meet diverse data annotating needs. It supports a variety of types, including 3D point cloud integration, pixel-level segmentation and speech recognition. It also supports entity relationship, video segmentation, and speech synthesis. The platform has a pre-recognition algorithm that allows for semi-automatic labeling and human-machine interactions, increasing labeling efficiency by 30%. It incorporates multilevel quality inspection management features and supports flexible workflows for task distribution, including package and item-based assignment. Data security is prioritized by multi-role and multi-level authority, template watermarking. Log auditing, login validation, and API authorization. The platform provides flexible deployment options including public cloud deployment to enable rapid, independent system setup and exclusive computing resources.

Experience unmatched functionality with a cutting-edge AI data platform. It works smarter and delivers quality data to launch successful AI projects. ShaipCloud uses patented technology to collect and track workloads, transcribe and monitor audio and utterances and annotate texts, images and videos, as well manage quality control and data transfer. Your AI project will receive the highest-quality data. ShaipCloud not only provides you with high-quality data quickly and at a low cost, but also grows along with your AI project as it grows. This is due to its scalability and integrations of the platform that are required to make your work easier and deliver successful outcomes. The platform reduces friction in working with a global workforce and offers greater visibility and real-time control. There are data platforms. There are AI data platforms. The ShaipCloud Human-in-the Loop platform is a secure platform that allows users to collect, transform, and annotate their data.

The platform is easy to use and quick to implement machine learning and computer vision workflows. Sense makes it easy to create and deploy AI IoT solutions on any cloud, edge or on-premise. Learn how Sense makes it easy for AI/ML teams to create and deploy AI IoT solutions to any cloud, the edge or on-premise. It is powerful enough for ML engineers but simple enough for subject matter experts. Sense Data Annotation maximizes the success of your machine-learning models by making it the easiest and fastest way to label image and video data for high-quality training datasets. The Sense platform provides one-touch labeling integration to enable continuous machine learning at edge for simplified management.

AI is today blocked by a lack of labeled data. Not models. The first data-centric AI platform powered by a programmatic approach will unblock AI. With its unique programmatic approach, Snorkel AI is leading a shift from model-centric AI development to data-centric AI. By replacing manual labeling with programmatic labeling, you can save time and money. You can quickly adapt to changing data and business goals by changing code rather than manually re-labeling entire datasets. Rapid, guided iteration of the training data is required to develop and deploy AI models of high quality. Versioning and auditing data like code leads to faster and more ethical deployments. By collaborating on a common interface, which provides the data necessary to train models, subject matter experts can be integrated. Reduce risk and ensure compliance by labeling programmatically, and not sending data to external annotators.

Mindkosh is your premier data management platform, streamlining the curation, tagging, and verification of datasets for AI initiatives. Our top-tier data annotation platform merges team-oriented functionalities with AI-enhanced annotation tools, delivering an all-encompassing toolkit for categorizing diverse data types, including images, videos, and 3D point clouds from Lidar. For images, Mindkosh offers advanced semi-automated segmentation, pre-labeling of bounding boxes, and completely automatic OCR capabilities. For video annotation, Mindkosh's automated interpolation significantly reduces the need for manual labeling. And for Lidar data, single-click annotation enables swift cuboid generation with just one 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.

Amazon SageMaker lets you identify raw data, such as images, text files and videos. You can also add descriptive labels to generate synthetic data and create high-quality training data sets to support your machine learning (ML). SageMaker has two options: Amazon SageMaker Ground Truth Plus or Amazon SageMaker Ground Truth. These options allow you to either use an expert workforce or create and manage your data labeling workflows. data labeling. SageMaker GroundTruth allows you to manage and create your data labeling workflows. SageMaker Ground Truth, a data labeling tool, makes data labeling simple. It also allows you to use human annotators via Amazon Mechanical Turk or third-party providers.

Our nucleus is innovation. Cogito supports AI businesses and business initiatives by deploying a skilled workforce for data annotation, content moderation and any other data processing services. Our data enrichment services offer one-stop solutions to all your data-related requirements. Our highly skilled, scalable and brilliant minds combine their knowledge to quickly meet your needs with precision accuracy while maintaining complete data confidentiality. We specialize in Human Empowered Automation. Our mission is to help customers innovate and scale through solving their daily data problems. We partner with Artificial Intelligence, Technology, and eCommerce clients to create high-quality data sets that can be used to enhance and build cutting-edge business applications. Businesses and AI Enterprises can benefit from cost-effective, high-quality, scalable, and secure data enrichment services.

Toloka AI was founded in 2014 after years spent research and experimentation. It is an open platform for collecting data and annotating it. There are over 20 000+ active monthly performers in over 100+ countries. They speak 40+ languages and generate approximately 80 million data annotations each week. Toloka is used by R&D, banking and autonomous vehicles as well as other organizations to generate machine-learning data at scale. It also harnesses the wisdom of the crowd from all over the globe. Gartner ranked Toloka as one of the most notable data labeling solutions in the market in its Hype Cycle for Data Science & ML report.

Our company is the premier provider of data labeling services in AI. We cover industries like Automotive, Robotics, Fintech, Healthcare, E-commerce, Manufacturing, and Insurance. With over 500+ annotation gurus and multilingual support, we provide efficient and accurate services for both enterprise and R&D projects. Our range of services includes Computer Vision and NLP annotation, data processing, and more. Choose Label Your Data for unparalleled quality of your training datasets. Our top priority is to ensure the security and quality of client's data. To ensure the confidentiality of client data, our facilities and teams have been certified by ISO 27001 and PCI DSS (level 1). We adhere to the most important industry security standards, such as GDPR and CCPA.

Automaton AI's Automaton AI's DNN model and training data management tool, ADVIT, allows you to create, manage, and maintain high-quality models and training data in one place. Automated optimization of data and preparation for each stage of the computer vision pipeline. Automate data labeling and streamline data pipelines in house Automate the management of structured and unstructured video/image/text data and perform automated functions to refine your data before each step in the deep learning pipeline. You can train your own model with accurate data labeling and quality assurance. DNN training requires hyperparameter tuning such as batch size, learning rate, and so on. To improve accuracy, optimize and transfer the learning from trained models. After training, the model can be put into production. ADVIT also does model versioning. Run-time can track model development and accuracy parameters. A pre-trained DNN model can be used to increase the accuracy of your model for auto-labeling.

Our fully managed solution makes it easy to create training datasets for computer-vision models. Data labeling is a key factor in creating effective deep learning models. We aim to be the industry's most trusted data labeling platform, helping companies fully take advantage of AI's potential. You can organize your media using discrete categories. You can identify items of interest using one or more bounding boxes. Similar to bounding boxes but with more precision. You can annotate objects with precise width, depth, height. Each pixel in an image should be classified. Each point in an image should be marked. Annotate straight lines within an image. Measure, yaw and pitch the item of interest. Annotate timestamps in audio and video content. Annotate lines that are not defined in an image.

Scale Data Engine helps ML teams build better datasets. Bring together data, ground truth and model predictions for a quick fix to model failures and issues with data quality. Scale Data Engine can optimize your labeling costs by identifying errors, class imbalances, and edge cases within your data. Improve model performance by identifying and fixing model failures. Curate unlabeled data using active learning and edge case analysis to find and label high-value information. Curate the best datasets with ML engineers and labelers on the same platform. Visualize and explore your data easily to quickly identify edge cases that require labeling. Check the performance of your models and ship only the best. Our powerful UI allows you to view your data, aggregate statistics, and metadata with rich overlays. Scale Data Engine allows visualization of images, lidar scenes and videos. All associated labels, predictions and metadata are displayed overlaid.

A powerful labeling platform for all stages and types of ML development. We leverage a suite of industry-leading computer vision algorithms to automatically detect and classify the content of your images and videos. Creating detailed segmentation information is a time-consuming process. Machine assistance speeds up task completion by as much as 70%, saving you both time and money. We leverage ML to propose labels that accelerate human labeling. This includes computer vision models to automatically detect, localize, and classify entities in your images and videos before handing off the task to our workforce. Automatic labelling reduces workforce costs and allows annotators to spend their time on the more complicated steps of the annotation process. Our video annotation tool is built to handle 4K resolution and long-running videos natively and provides innovative features like interpolation, object proposal, and entity resolution.

Superb AI offers a new generation of machine learning data platform to AI team members so they can create better AI in a shorter time. The Superb AI Suite, an enterprise SaaS platform, was created to aid ML engineers, product teams and data annotators in creating efficient training data workflows that save time and money. Superb AI can help ML teams save more than 50% on managing training data. Our customers have averaged a 80% reduction in the time it takes for models to be trained. Fully managed workforce, powerful labeling and training data quality control tools, pre-trained models predictions, advanced auto-labeling and filtering your datasets, data source and integration, robust developer tools, ML work flow integrations and many other benefits. Superb AI makes it easier to manage your training data. Superb AI provides enterprise-level features to every layer of an ML organization.

Our AI Training Data Platform combines the best of data annotators and computer vision capabilities, with the power of the AI Community of professional annotations. GT Manage: Our proprietary platform manager for our 1M+ community. GT Annotate is our proprietary data annotation software. GT Data: Our global expertise for data collection and creation. Human-powered AI is the foundation of all AI. Our fully automated platform allows sophisticated data annotation across data types, all within the same software. It also provides seamless project and AI Community Management. Ground Truth (GT Annotate) is our proprietary software for data annotation. It was carefully designed to allow teams to create quality AI training datasets quickly and accurately. Below are some examples of how the technology is used.

Deep Block is a no-code platform to train and use your own AI models based on our patented Machine Learning technology. Have you heard of mathematic formulas such as Backpropagation? Well, I had once to perform the process of converting an unkindly written system of equations into one-variable equations. Sounds like gibberish? That is what I and many AI learners have to go through when trying to grasp basic and advanced deep learning concepts and when learning how to train their own AI models. Now, what if I told you that a kid could train an AI as well as a computer vision expert? That is because the technology itself is very easy to use, most application developers or engineers only need a nudge in the right direction to be able to use it properly, so why do they need to go through such a cryptic education? That is why we created Deep Block, so that individuals and enterprises alike can train their own computer vision models and bring the power of AI to the applications they develop, without any prior machine learning experience. You have a mouse and a keyboard? You can use our web-based platform, check our project library for inspiration, and choose between out-of-the-box AI training modules.

A platform for ML engineers that provides synthetic data to facilitate the development of better AI models. Simple APIs allow for the instant generation of photorealistic, well-labeled images. Cloud-based generation platform that is highly scalable delivers millions of perfectly labeled photos. On-demand data allows for new data-centric approaches to create more efficient models. A broader range of pixel-perfect labels, including segmentation maps and dense 2D/3D landmarks as well as depth maps, surface norms, depth maps, and more, is now available. You can quickly design, test, refine, and revise your products before you build hardware. To optimize your system, prototype different imaging modalities, camera placements, lens types, and other lens types. Your models will be less biased if there are misbalanced data sets. Privacy will still be protected. Equal representation across identities, facial attributes and poses, as well as lighting and camera settings. We have worked with top-notch customers in many different use cases.

Privacy engineering tools delivered as APIs. In minutes, you can synthesize and transform data. Trust your users and the community. Gretel's APIs allow you to instantly create anonymized or synthetic data sets so that you can safely work with data while protecting your privacy. Access to data must be faster in order to keep up with the development pace. Gretel's data privacy tools bypass blockers, and allow for Machine Learning and AI applications to access data faster. Gretel Cloud runners makes it easy to scale up your workloads to the cloud or keep your data safe by running Gretel containers within your own environment. Developers will find it much easier to train and create synthetic data using our cloud GPUs. Scale workloads instantly with no infrastructure required. Invite colleagues to collaborate on cloud projects, and share data between teams.

People For AI is data labelling company. Our service will provide you with high-quality data to train your computer vision, NLP, or speech recognition algorithms. We use AI-powered tools for data labeling that are tailored to your task. You data is in safe hands with the right tool, team and methodology. We only hire long-term labelers and are therefore specialists in high-value data annotating. However, we can manage all types of projects. Visit our website to learn more about our labelers.

Our proprietary labeling platform allows us to label your data with higher quality standards in order to meet the requirements of complex AI projects. Now you can create the products that your customers love.

A class-agnostic, pixel-perfect automated annotation platform. Built for teams that have a lot of data and strict quality requirements but little time. Ground truth creation can be scaled up 10x. Collaborate with unlimited team members, annotators and seamlessly integrate into your deep learning pipeline. Create ground truth 10x faster with pixel-perfect annotations. Use V7's intuitive tools for labeling data and automating your ML pipelines. The ultimate image and Video Annotation Solution

Our AI and your team will quickly label data for NLP. LightTag helps you focus on the important things by managing your workforce. It works, and that's the best part. Our optimized interface makes it easier to work faster - Keyboard Shortcuts - No tokenization assumptions - Full Unicode Support - Subword and phrase annotations - RTL, CJK languages - Relation annotations, Classification, Entity LightTag's Reporting and Review Mode make it easy for you to ensure that your data is accurate and your annotators perform at their best. LightTag's AI learns quickly high precision predictions, automating simple labels and allowing your team to create better labels. LightTag's AI suggestions account for 50% of all annotations. You can also submit suggestions using your own models, regular expressions, and dictionaries. You can quickly validate your models using our review feature and bootstrap a project with it.

Klatch Technologies is a global provider of data services that helps companies and institutions collect and annotate data. We support Artificial Intelligence companies, research institutes, Machine Learning and Computer Vision projects in data labeling. Our specialists provide high-quality data security, rapid scalability and accuracy, as well as multilingual capability and quick turnaround time. Data Annotation Services Image Annotation Video Annotation Search Relevance Annotation for Text NLP Text classification Sentiment Analysis Image Segmentation LIDAR Annotation - Data collection services: Healthcare Training Data Chatbot Training Data All other data collection requirements IT Managed Services Moderation of Content Ecommerce Data Categorization

Expand the platform to include annotation for segmentation. The Zastra repository will include algorithms that support segmentation to enable active learning of datasets. End-to-end ML opsversion control for datasets / experimental and templated pipelines to enable deployment of the model to standard cloud-based environments as well as the Edge. Bayesian deep learning advances are integrated into the active learning framework. Bayesian CNN is a specialized architecture that improves the quality of annotations. This breakthrough solution was created by our experts who have spent many hours working with you. We are still adding new features to the platform but we couldn't wait for you to take it for a spin! Active-Learning based object detection, classification, segmentation, localization, as well as object detection are some of Zastra's key capabilities. This is possible for images, text, audio, and point cloud data.

The Hasty platform offers everything you need to transform raw images and video into production-ready models. The Hasty platform helps world-class companies bring AI into production. Hasty's solution for annotation is simple. You annotate the images and we use them to train AI models, making it faster to create new annotations. This constantly improving approach ensures you build your data assets faster than ever. AI consensus scoring eliminates the need for complex review workflows and expensive redundancies. We use AI to identify potential errors that can be corrected with a single click. The platform's model playground allows for quick creation of models. They can be tuned down to the smallest parameters and then deployed in our data annotation environment, enabling unprecedented annotation speed. The models can be exported and deployed within your own environment.

We make data for the world's most valuable companies. Innodata solves your most difficult data engineering problems using artificial intelligence and human expertise. Innodata offers the services and solutions that you need to harness digital information at scale and drive digital disruption within your industry. We secure and efficiently collect and label sensitive data. This provides ground truth that is close to 100% for AI and ML models. Our API is simple to use and ingests unstructured data, such as contracts and medical records, and generates structured XML that conforms to schemas for downstream applications and analytics. We make sure that mission-critical databases are always accurate and up-to-date.

Data cleaning and labeling are simplified with easy integration. You can deploy and monitor AI applications on your existing platforms. Start with your target business ROI. Then, define quality, cost and speed priorities. Super.AI will deliver the results. You can use any combination of AI, human, and RPA software bots. Mix and match AI models from Amazon and Google. First-generation IDP solutions used basic AI technologies that required extensive setup, post-processing and exception handling. Super.AI IDP, a next-generation solution, is built on top a unified AI platform. It can process any type of document or unstructured data, leverages the most recent AI for the best results and guarantees outcomes. A data processing crowd that is available on demand accelerates automation while reducing cost and complexity. The platform automatically determines the best combination of AI, humans, and bot workers to ensure results. Users can then make trade-offs between speed, quality, and cost.

We offer the highest quality SLA (>95%) even for the most complicated workflows. Our team can assist with everything from the implementation of a solid quality rubric to raising edge case. We are an ethical AI company that has provided economic opportunities to over 52,000 people in underserved and marginalized areas. ML Assisted annotation allowed for efficiency improvements of up to 3-4x per class annotation. We are able to quickly adapt to ramp-ups and focus shifts. Secure work environments are ensured by ISO-certified delivery centers, biometric authentication, 2FA user authentication, and ISO-certified delivery centers. You can quickly re-prioritize tasks, give quality feedback, and monitor production models. All data types are supported. You can do more with less. We combine machine learning with humans to filter data and select images that are relevant to your use cases. Based on your initial guidelines, you will receive sample results. We will work with you to identify and recommend best annotation practices.

UHRS can help you with data validation, data validation, classification and sentiment analysis. We offer human intelligence to train machine-learning models to solve some of your most difficult problems. Judges can access UHRS from anywhere and at any time. All judges need is an internet connection and they are ready to go. You can complete tasks such as video annotation in a matter of minutes. UHRS makes it easy to classify thousands images quickly and efficiently. You can train your products and tools with improved boundary recognition, image detection, and other features using high-quality annotated data images. Classify images, semantic segmentation, object detection. Validating audio to speech, conversation, relevance. Identify the sentiment of a tweet and classify documents. Ad hoc data collection tasks, information correction/moderation, and survey.

Data labeling project management is made easier with the fastest data annotation tool. High level of collaboration and automation.

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 building better, faster and stronger AI. We help enterprises and public sector organizations transform their data into actionable insights. Our technology is used across many industries including Defense, Retail, Manufacturing, Media and Entertainment, and more. We help our customers create innovative AI solutions for visual search, content moderation, aerial surveillance, visual inspection, intelligent document analysis, and more. Founded in 2013 by Matt Zeiler, Ph.D., Clarifai has been a market leader in computer vision AI since winning the top five places in image classification at the 2013 ImageNet Challenge. Clarifai is headquartered in Delaware

Annotation solutions that are end to end, scalable and offer high accuracy & speed of turnaround. 2D/3D bounding box, polygons and polylines, landmarks & semantic segmentation to serve use cases from LiDAR to Geo-spatial imagery. Zuru's teams are working on complex computer vision algorithms that have edge cases and taxonomies. Text annotations are available in all major languages, including Bahasa, Cantonese and Hungarian. Experts in linguistic labelling who have annotated over 10 million data points across industries from Retail to BFSI and Healthcare. Zuru's team has done it all, whether it was sophisticated labelling for automation in customer centres, basic transcription or Audio diarization. Multilingual translators & interpreters workforce with a wide range of accents & dialects to help AI teams understand cultural nuances across languages and geographies.

Segments.ai allows computer vision experts to quickly iterate between data labeling and model training, as well as failure case discovery.

Anolytics offers data annotation services for image, video and text for machine learning and AI based computer vision. Anolytics provides low-cost annotation services for machine learning and the development of artificial intelligence models. It provides the annotated data in text, images, and videos using various annotation techniques. It also ensures the quality and accuracy. It is highly skilled in Image Annotation, Video Annotation, and Text Annotation. Anolytics provides all the leading data annotation services used for data training in machine learning or deep learning. It provides Bounding boxes, Semantic Segmentation and 3D Point Cloud Annotation as well as 3D Cuboid Annotation. These services are useful in fields such as healthcare, autonomous driving, drone falying, security surveillance, agriculture, and retail. Anolytics offers a scalable solution that is available quickly and at a cost-effective price for clients around the world.

Your AI deserves only the best data. Our unique mobile data platform, Truetag quality control and industry-leading 99% accuracy will take the stress out getting your machine learning datasets onto Tictag. Tictag’s mobile data platform is the first of its kind. It combines a user friendly interface with gamified features to produce high-quality datasets. This is technology enhanced labeling at its finest. Tictag collects and labels complex and intricate datasets with near-100% precision for AI and ML in short turnaround times. Data labeling is now faster and easier than ever. Do it right the first time. Truetag's technology-assisted quality control by Tictag ensures that your data is exactly what you need. Tictag helps people who are looking for a new source of income or a way to improve their skills by supplying them with the data they need.

The best data will help you achieve peak model performance. Create and manage training data for any visual modality. Debug models, boost performance and make foundation models yours. Expert review, QA, and QC workflows will help you deliver better datasets to your artificial-intelligence teams, improving model performance. Encord's Python SDK allows you to connect your data and models, and create pipelines that automate the training of ML models. Improve model accuracy by identifying biases and errors in your data, labels, and models.

Curate the most valuable unlabeled datasets to maximize domain coverage and improve models. Register your metadata with Dioptra and your data will stay with you. A data-centric toolkit can help you identify the root cause of model failures and regressions. Active learning miners allow you to sample the most valuable unlabeled datasets. Use Dioptra APIs to integrate your labeling and training stack. Curate data at scale and systematically for your use case. Open source data curation and management for computer vision (including NLP), LLMs, and NLP. We helped our customers improve the accuracy of their models on hard cases, reduce their training cycles, as well as reduce labeling costs.

SuperAnnotate is the best platform to build high-quality training datasets for NLP and computer vision. We enable machine learning teams to create highly accurate datasets and successful pipelines of ML faster with advanced tooling, QA, ML, and automation features, data curation and robust SDK, offline accessibility, and integrated annotation services. We have created a unified annotation environment by bringing together professional annotators and our annotation tool. This allows us to provide integrated software and services that will lead to better quality data and more efficient data processing.

swivl simplifies AI training Data scientists spend about 80% of their time on tasks that are not value-added, such as cleaning, cleaning, and annotation data. Our SaaS platform that doesn't require code allows teams to outsource data annotation tasks to a network of data annotators. This helps close the feedback loop cost-effectively. This includes the training, testing, deployment, and monitoring of machine learning models, with an emphasis on audio and natural language processing.