Scale Alternatives

Kili Technology is one unique tool to label, find and fix issues, simplify DataOps, and dramatically accelerate the build of reliable AI. 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.

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.

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.

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.

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.

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.

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. Our lightning-fast machine-led labeling platform integrates with our diverse workforce to provide high-quality data at scale, making it the most cost-efficient solution for your AI. We do next-gen labeling for ‍next-gen AI. Our use cases range from LLM generation, data curation, Segment Anything (SAM) output validation to sketch generation and semantic segmentation.

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.

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.

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.

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.

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.

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.

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.

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

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

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).

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.

Achieve peak model performance with the best data. Create & manage training data for any visual modality, debug models and boost performance, and make foundation models your own. Expert review, QA and QC workflows help you deliver higher quality datasets to your artificial intelligence teams, helping improve model performance. Connect your data and models with Encord's Python SDK and API access to create automated pipelines for continuously training ML models. Improve model accuracy by identifying errors and biases in your data, labels and models.

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.

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.

Your AI deserves the best data. With industry-leading 99% accuracy, take the stress out of getting your machine learning datasets on Tictag with our unique mobile data platform and Truetag quality control. Tictag's first-of-its-kind mobile data platform combines a user-friendly interface with gamified elements to produce the highest quality datasets, powered by our proprietary Truetag quality control system. This is technology-enhanced labeling at its best. Tictag efficiently collects and labels the most complex and intricate of datasets with near-100% accuracy for AI and ML models in short turnarounds. Data labeling has never been faster or easier. Do it once and do it right. Tictag's technology-augmented Truetag quality control ensures your data is exactly as you need it. Through Tictag, your data needs, in turn, help people who need another source of income, or a way to learn new skills.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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%*

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.

Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale. CVAT’s blazing-fast, intuitive user interface, was designed by working closely with real-world teams solving real-world problems. From medical to retail to autonomous vehicles, world’s most ambitious AI teams use CVAT as a part of their AI workflow every day. No matter what your input data or expected results are, CVAT is ready. It works great with images, videos, and even 3D. Bounding boxes, polygons, points, skeletons, cuboids, trajectories, and more. Annotate more efficiently with automated interactive algorithms like intelligent scissors, histogram equalization, and more. Gain actionable insights with metrics such as annotator working hours, objects per hour, and more.

We Make Data for the World's Most Valuable Companies Innodata solves your toughest data engineering challenges using artificial intelligence and human expertise. Innodata provides the services and solutions you need to harness digital data at scale and drive digital disruption in your industry. We securely and efficiently collect & label your most complex and sensitive data, delivering near-100% accurate ground truth for AI and ML models. Our easy-to-use API ingests your unstructured data (such as contracts and medical records) and generates normalized, schema-compliant structured XML for your downstream applications and analytics. We ensure that your mission-critical databases are accurate and always up-to-date.

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.

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.

Artificio is an innovative automation tool developed by Artificio Products Inc, designed to revolutionize data processing and eliminate manual data entry. This cutting-edge software utilizes state-of-the-art AI and machine learning models to extract, segregate, validate, and integrate unstructured datasets from different sources, including texts, PDFs, and images. By converting unstructured information into structured data, Artificio empowers businesses to unlock the full potential of digital intelligence.

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.

Label Your Data stands for exceptional data annotation service. With PCI DSS (level 1) and ISO:27001 certifications, and adherence to GDPR, CCPA, and HIPAA, we guarantee your data is handled securely. Our services cover Automotive, Robotics, Fintech, Healthcare, E-commerce, Manufacturing, and Insurance industries. On a mission to co-build an AI-driven economy, we offer customized solutions for both enterprise and R&D projects with 500+ annotators on board. From Computer Vision and NLP annotation to data processing, Label Your Data delivers accurate and secure results to scale your AI projects.

Amazon SageMaker allows you to identify raw data such as images, text files, and videos; add informative labels and generate labeled synthetic data to create high-quality training data sets for your machine learning (ML) models. SageMaker offers two options, Amazon SageMaker Ground Truth Plus and Amazon SageMaker Ground Truth, which give you the flexibility to use an expert workforce to create and manage data labeling workflows on your behalf or manage your own data labeling workflows. data labeling. If you want the flexibility to create and manage your own personal and data labeling workflows, you can use SageMaker Ground Truth. SageMaker Ground Truth is a data labeling service that makes data labeling easy and gives you the option of using human annotators via Amazon Mechanical Turk, third-party providers, or your own private staff.

Klatch Technologies is a global data services provider helping companies and institutions collect, annotate, and process data. We assist Artificial Intelligence companies, research institutions, Machine Learning or Computer Vision projects in data labeling, data collection, content moderation, and other data projects. Our Specialists provide rapid scalability, precise accuracy, swift turnaround time, multilingual capability, and data security at a low-cost. - Data Annotation Services: Image Annotation Video Annotation Search Relevance Text NLP Annotation Text Classification Sentiment Analysis Image Segmentation LIDAR Annotation - Data Collection Services: Healthcare Training Data Chatbot Training Data & all other data collection needs - IT Managed Services: Content Moderation Ecommerce Data Categorization

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.

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.

Keymakr’s advanced video annotation tools and our professional in-house annotation team ensure the best results for your computer vision training data needs. Annotating videos while tracking objects through multiple frames. Each object on the video will be recognized and tracked even through different cameras or separate video segments. We work with a diverse range of media to create precise, human-annotated training datasets. Our expertise with video annotation and labeling allow us to craft custom machine-learning datasets that meet the demands of your project. Improve the accuracy of your existing models. We verify and correct your algorithmic outputs, including: bounding boxes, polygon annotation, instance segmentation, semantic segmentation, and all other annotation types. Quality training data plays an important part in developing computer vision.

Fastest data annotation tool that makes data labeling project management easier. Provides high level of collaboration, automation and Quality assurance.

clickworker is globally the largest open crowd sourcing provider. The company has a huge number of services using a "one to many" approach where your company can use many Clickworkers to achieve the outcome you desire. Most frequently, clickworker provides customized data collection, categorization, evaluation, tagging and annotation services to create AI/ML training data for Data Scientists, and also provides SEO texts, product tags, categories and surveys for online businesses and retailers. clickworker serves most industries and applications using the skills of their 4.0M+ Clickworkers. This crowd gathers data through a wide range of micro-tasks, utilizing a sophisticated crowd-sourcing platform and fully featured mobile app.

Onboard your data and models to Openlayer and collaborate with the whole team to align expectations surrounding quality and performance. Breeze through the whys behind failed goals to solve them efficiently. The information to diagnose the root cause of issues is at your fingertips. Generate more data that looks like the subpopulation and retrain the model. Test new commits against your goals to ensure systematic progress without regressions. Compare versions side-by-side to make informed decisions and ship with confidence. Save engineering time by rapidly figuring out exactly what’s driving model performance. Find the most direct paths to improving your model. Know the exact data needed to boost model performance and focus on cultivating high-quality and representative datasets.

The open-source ML observability platform. Evaluate, test, and monitor ML models from validation to production. From tabular data to NLP and LLM. Built for data scientists and ML engineers. All you need to reliably run ML systems in production. Start with simple ad hoc checks. Scale to the complete monitoring platform. All within one tool, with consistent API and metrics. Useful, beautiful, and shareable. Get a comprehensive view of data and ML model quality to explore and debug. Takes a minute to start. Test before you ship, validate in production and run checks at every model update. Skip the manual setup by generating test conditions from a reference dataset. Monitor every aspect of your data, models, and test results. Proactively catch and resolve production model issues, ensure optimal performance, and continuously improve it.