Alternatives to NLP Lab

Fully managed ML tools allow you to build, deploy and scale machine-learning (ML) models quickly, for any use case. Vertex AI Workbench is natively integrated with BigQuery Dataproc and Spark. You can use BigQuery to create and execute machine-learning models in BigQuery by using standard SQL queries and spreadsheets or you can export datasets directly from BigQuery into Vertex AI Workbench to run your models there. Vertex Data Labeling can be used to create highly accurate labels for data collection. Vertex AI Agent Builder empowers developers to design and deploy advanced generative AI applications for enterprise use. It supports both no-code and code-driven development, enabling users to create AI agents through natural language prompts or by integrating with frameworks like LangChain and LlamaIndex.

Our decentralized platform streamlines AI data collection and labeling through a worldwide contributor network. By combining crowdsourcing with blockchain technology, we deliver high-quality, traceable datasets. Platform Highlights: Worldwide Collection: Tap into global contributors for comprehensive data gathering Blockchain Security: Every contribution tracked and verified on-chain Quality Focus: Expert validation ensures exceptional data standards Platform Benefits: Rapid scaling of data collection Complete data providence tracking Validated datasets ready for AI use Cost-efficient global operations Flexible contributor network How It Works: Define Your Needs: Create your data collection task Community Activation: Global contributors notified and start gathering data Quality Control: Human verification layer validates all contributions Sample Review: Get dataset sample for approval Full Delivery: Complete dataset delivered once approved

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.

Harness the power of AutoML Vision or leverage pre-trained Vision API models to extract meaningful insights from images stored in the cloud or at the network's edge, allowing for emotion detection, text interpretation, and much more. Google Cloud presents two advanced computer vision solutions that utilize machine learning to provide top-notch prediction accuracy for image analysis. You can streamline the creation of bespoke machine learning models by simply uploading your images, using AutoML Vision's intuitive graphical interface to train these models, and fine-tuning them for optimal performance in terms of accuracy, latency, and size. Once perfected, these models can be seamlessly exported for use in cloud applications or on various edge devices. Additionally, Google Cloud’s Vision API grants access to robust pre-trained machine learning models via REST and RPC APIs. You can easily assign labels to images, categorize them into millions of pre-existing classifications, identify objects and faces, interpret both printed and handwritten text, and enhance your image catalog with rich metadata for deeper insights. This combination of tools not only simplifies the image analysis process but also empowers businesses to make data-driven decisions more effectively.

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.

Amazon SageMaker is a comprehensive service that empowers developers and data scientists to efficiently create, train, and deploy machine learning (ML) models with ease. By alleviating the burdens associated with the various stages of ML processes, SageMaker simplifies the journey towards producing high-quality models. In contrast, conventional ML development tends to be a complicated, costly, and iterative undertaking, often compounded by the lack of integrated tools that support the entire machine learning pipeline. As a result, practitioners are forced to piece together disparate tools and workflows, leading to potential errors and wasted time. Amazon SageMaker addresses this issue by offering an all-in-one toolkit that encompasses every necessary component for machine learning, enabling quicker production times while significantly reducing effort and expenses. Additionally, Amazon SageMaker Studio serves as a unified, web-based visual platform that facilitates all aspects of ML development, granting users comprehensive access, control, and insight into every required procedure. This streamlined approach not only enhances productivity but also fosters innovation within the field of machine learning.

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.

Streamline the entire machine learning lifecycle from start to finish. Equip developers and data scientists with diverse, efficient tools for swiftly constructing, training, and deploying machine learning models. Speed up market readiness and enhance team collaboration through top-notch MLOps—akin to DevOps but tailored for machine learning. Foster innovation on a secure and trusted platform that prioritizes responsible machine learning practices. Cater to all skill levels by offering both code-first approaches and user-friendly drag-and-drop designers, alongside automated machine learning options. Leverage comprehensive MLOps functionalities that seamlessly integrate into current DevOps workflows and oversee the entire ML lifecycle effectively. Emphasize responsible ML practices, ensuring model interpretability and fairness, safeguarding data through differential privacy and confidential computing, while maintaining oversight of the ML lifecycle with audit trails and datasheets. Furthermore, provide exceptional support for a variety of open-source frameworks and programming languages, including but not limited to MLflow, Kubeflow, ONNX, PyTorch, TensorFlow, Python, and R, making it easier for teams to adopt best practices in their machine learning projects. With these capabilities, organizations can enhance their operational efficiency and drive innovation more effectively.

Artificio, created by Artificio Products Inc., is a groundbreaking automation solution aimed at transforming the landscape of data processing by removing the need for manual data entry. This advanced software leverages the latest advancements in AI and machine learning to efficiently extract, categorize, verify, and synthesize unstructured data from various formats such as texts, PDFs, and images. By converting disparate unstructured information into manageable structured data, Artificio enables organizations to fully harness the capabilities of digital intelligence, leading to improved decision-making and operational efficiency. Through its innovative approach, it opens up new avenues for businesses to optimize their data management processes.

RapidMiner is redefining enterprise AI so anyone can positively shape the future. RapidMiner empowers data-loving people from all levels to quickly create and implement AI solutions that drive immediate business impact. Our platform unites data prep, machine-learning, and model operations. This provides a user experience that is both rich in data science and simplified for all others. Customers are guaranteed success with our Center of Excellence methodology, RapidMiner Academy and no matter what level of experience or resources they have.

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.

Superb AI introduces a cutting-edge machine learning data platform designed to empower AI teams to develop superior AI solutions more efficiently. The Superb AI Suite functions as an enterprise SaaS platform tailored for ML engineers, product developers, researchers, and data annotators, facilitating streamlined training data workflows that conserve both time and financial resources. Notably, a significant number of ML teams allocate over half of their efforts to managing training datasets, a challenge that Superb AI addresses effectively. Customers utilizing our platform have experienced an impressive 80% reduction in the time required to commence model training. With a fully managed workforce, comprehensive labeling tools, rigorous training data quality assurance, pre-trained model predictions, advanced auto-labeling capabilities, and efficient dataset filtering and integration, Superb AI enhances the data management experience. Furthermore, our platform offers robust developer tools and seamless ML workflow integrations, making training data management simpler and more efficient than ever before. With enterprise-level features catering to every aspect of an ML organization, Superb AI is revolutionizing the way teams approach machine learning projects.

Seamless integration enhances the efficiency of data cleaning and labeling processes. You can implement and oversee AI applications with your current systems. Begin by identifying your desired business return on investment and establish priorities regarding quality, cost, and speed. Super.AI ensures that the outcomes will meet your expectations. You can utilize a blend of AI, human input, or robotic process automation software bots. Combine various AI models from providers like Amazon, Google, and others. Earlier IDP solutions relied on basic AI approaches that demanded significant setup, post-processing, and exception management. In contrast, Super.AI IDP represents a cutting-edge solution that operates on a cohesive AI platform capable of handling any document or unstructured data format while utilizing the most advanced AI technologies for optimal results. This innovative approach not only accelerates automation but also minimizes expenses and complexity through an on-demand data processing crowd. Users have the flexibility to determine the trade-offs among quality, cost, and speed, while the platform intelligently selects the best mix of AI, human, and bot resources to ensure successful outcomes, thereby enhancing overall operational efficiency.

DataForce serves as a worldwide platform dedicated to data gathering and labeling, merging advanced technology with a vast network of over one million contributors, scientists, and engineers. It provides secure and dependable AI services to companies across various sectors, including technology, automotive, and life sciences, thereby enhancing structured data and customer interactions. Being a member of the TransPerfect family, DataForce offers an extensive suite of services such as data collection, annotation, relevance rating, chatbot localization, content moderation, transcription, user studies, generative AI training, business process outsourcing, and bias reduction strategies. The DataForce platform is a proprietary tool crafted internally by TransPerfect, designed to cater to a wide array of data-centric projects with an emphasis on AI and machine learning functionalities. Its diverse capabilities encompass not only data annotation and collection but also community management, all aimed at bolstering relevance models, accuracy, and recall in data processes. By integrating these services, DataForce ensures that clients receive optimized and effective data solutions tailored to their specific needs.

Revolutionary machine teaching is here with an exceptionally efficient annotation tool driven by active learning. Prodigy serves as a customizable annotation platform so effective that data scientists can handle the annotation process themselves, paving the way for rapid iteration. The advancements in today's transfer learning technologies allow for the training of high-quality models using minimal examples. By utilizing Prodigy, you can fully leverage contemporary machine learning techniques, embracing a more flexible method for data gathering. This will enable you to accelerate your workflow, gain greater autonomy, and deliver significantly more successful projects. Prodigy merges cutting-edge insights from the realms of machine learning and user experience design. Its ongoing active learning framework ensures that you only need to annotate those examples the model is uncertain about. The web application is not only powerful and extensible but also adheres to the latest user experience standards. The brilliance lies in its straightforward design: it encourages you to concentrate on one decision at a time, keeping you actively engaged – akin to a swipe-right approach for data. Additionally, this streamlined process fosters a more enjoyable and effective annotation experience overall.

Your software can see objects in video and images. A few dozen images can be used to train a computer vision model. This takes less than 24 hours. We support innovators just like you in applying computer vision. Upload files via API or manually, including images, annotations, videos, and audio. There are many annotation formats that we support and it is easy to add training data as you gather it. Roboflow Annotate was designed to make labeling quick and easy. Your team can quickly annotate hundreds upon images in a matter of minutes. You can assess the quality of your data and prepare them for training. Use transformation tools to create new training data. See what configurations result in better model performance. All your experiments can be managed from one central location. You can quickly annotate images right from your browser. Your model can be deployed to the cloud, the edge or the browser. Predict where you need them, in half the time.

Roora offers top-notch data annotation solutions tailored for machine learning, focusing on the annotation of images, videos, and texts across multiple sectors, including healthcare, self-driving cars, and retail. By employing advanced techniques such as bounding boxes, semantic segmentation, and object detection, Roora assists organizations in optimizing their AI models for superior performance. The platform's proficient team guarantees that the data labeling process is precise, scalable, and secure, which significantly boosts the capacity of AI systems to identify and categorize visual elements in practical scenarios, such as facial recognition, medical imaging, and autonomous navigation. This commitment to quality and innovation positions Roora as a leader in the data annotation industry, driving advancements in AI technology.

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.

Understand.ai delivers innovative ground truth annotation technology to effectively manage complexity on a large scale. Their advanced annotation platform is crafted to tackle intricate ground truth annotation tasks, boasting a scalable infrastructure that can handle substantial data volumes and projects of any size with ease. It stands out in providing tailored data elevation and workflows, specifically designed to align with unique project requirements while emphasizing adherence to strict data privacy and security protocols. With user-friendly tools that facilitate smooth collaboration between clients and labeling partners, the automation features greatly minimize manual annotation tasks, thus making extensive ADAS/AD programs financially viable. Among its key attributes is multi-sensor integration, which allows for the seamless incorporation and processing of data from various LiDAR sensors, delivering an all-encompassing perspective of complex 3D environments and ensuring precise annotation. This combination of advanced technology and customized solutions positions Understand.ai as a leader in the annotation industry, ready to meet the evolving demands of its clients.

Innovation lies at the heart of what we do. Cogito supports AI-driven enterprises and business projects by providing an adept team for data annotation, content moderation, and a variety of other data processing services. Our comprehensive data enrichment offerings serve as a one-stop shop for all your data-related requirements. With a blend of scalable and highly experienced professionals, we leverage their expertise to address your needs with remarkable precision and efficiency, all while ensuring complete data security and confidentiality. We are dedicated to Human Empowered Automation. Our goal is to assist customers in driving innovation and growth by addressing their everyday data challenges. By utilizing our on-demand workforce, we collaborate with clients in Artificial Intelligence, Technology, and eCommerce to create high-quality datasets that are essential for developing and refining a range of state-of-the-art business applications. We pride ourselves on delivering cost-effective, extremely accurate, fully scalable, and secure data enrichment solutions tailored for businesses and AI enterprises alike, ensuring our clients can thrive in a competitive landscape. Our commitment to excellence guarantees that we remain a trusted partner in your journey towards success.

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

With Automaton AI's ADVIT, users can effortlessly create, manage, and enhance high-quality training data alongside DNN models, all within a single platform. The tool automatically optimizes data and prepares it for various stages of the computer vision pipeline. It also automates data labeling and simplifies in-house data pipelines. Users can handle both structured and unstructured datasets, including video, image, and text, while performing automatic functions that refine data for each phase of the deep learning process. Once data is accurately labeled and undergoes quality assurance, users can initiate their own model training. DNN training requires hyperparameter adjustments, such as batch size and learning rate, to maximize efficiency. Additionally, the platform supports optimization and transfer learning on existing models to enhance overall accuracy. After training, users can seamlessly deploy their models into production. ADVIT also provides model versioning capabilities, allowing for real-time tracking of development and accuracy metrics. By utilizing a pre-trained DNN model for auto-labeling, users can further improve their model's accuracy, ensuring optimal outcomes throughout the entire machine learning lifecycle. This comprehensive solution not only streamlines the development process but also empowers users to achieve remarkable results in their projects.

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.

The premier platform designed for the complete computer vision process allows you to evolve from image annotation to precise neural networks at speeds up to ten times quicker. Utilizing our exceptional data labeling tools, you can convert your images, videos, and 3D point clouds into top-notch training data. This enables you to train your models, monitor experiments, visualize results, and consistently enhance model predictions, all while constructing custom solutions within a unified environment. Our self-hosted option ensures data confidentiality, offers robust customization features, and facilitates seamless integration with your existing technology stack. This comprehensive solution for computer vision encompasses multi-format data annotation and management, large-scale quality control, and neural network training within an all-in-one platform. Crafted by data scientists for their peers, this powerful video labeling tool draws inspiration from professional video editing software and is tailored for machine learning applications and beyond. With our platform, you can streamline your workflow and significantly improve the efficiency of your computer vision projects.

The Hasty platform offers a comprehensive solution for transforming raw images and videos into models ready for production. It assists leading organizations in effectively implementing AI into their processes. The concept behind Hasty's annotation tool is straightforward: you annotate images, and those annotations are utilized to train AI models, significantly accelerating the annotation process. This ongoing refinement guarantees that your data assets are built more rapidly than ever. With the implementation of AI consensus scoring, there's no need for complicated review processes or costly redundancies. We leverage AI technology to identify possible mistakes, which can be corrected effortlessly with a single click. Additionally, the model playground feature allows users to swiftly create and fine-tune models to their specific parameters, facilitating deployment within our data annotation ecosystem for unmatched annotation efficiency. Furthermore, these models can be exported and utilized in private environments, ensuring versatility in application. Ultimately, Hasty empowers users to streamline the entire data annotation workflow while maintaining high standards of accuracy.

Effectively oversee the complete AI pipeline, beginning with raw data and culminating in its deployment. Develop tailored models that align closely with your operational needs, providing a strategic edge in the marketplace. Foster a varied AI team capable of constructing and launching AI solutions effortlessly, without requiring coding skills. Implement AI solutions in diverse settings, whether on a manufacturing floor, in space exploration, or anywhere else. Commit to a reliable platform that has been successfully utilized in highly sensitive data environments. Utilize guided workflows to assist you in creating your initial model. Instead of separating enterprise data across various cloud services and hardware, consolidate all assets into a single, well-organized library that enhances ease of discovery for users. This holistic approach not only streamlines processes but also maximizes the potential for innovation and efficiency across your organization.

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.

The entire process of machine learning and computer vision is streamlined and expedited through a single no-code platform. Sense empowers users to create and implement AI IoT solutions across various environments, whether in the cloud, at the edge, or on-premises. Discover how Sense delivers ease, consistency, and transparency for AI/ML teams, providing robust capabilities for machine learning engineers while remaining accessible for subject matter experts. With Sense Data Annotation, you can enhance your machine learning models by efficiently labeling video and image data, ensuring the creation of high-quality training datasets. The platform also features one-touch labeling integration, promoting ongoing machine learning at the edge and simplifying the management of all your AI applications, thereby maximizing efficiency and effectiveness. This comprehensive approach makes Sense an invaluable tool for a wide range of users, regardless of their technical background.

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.

A platform designed for ML engineers that generates synthetic data, facilitating the creation of more advanced AI models. With straightforward APIs, users can quickly generate a wide variety of perfectly-labeled, photorealistic images as needed. This highly scalable, cloud-based system can produce millions of accurately labeled images, allowing for innovative data-centric strategies that improve model performance. The platform offers an extensive range of pixel-perfect labels, including segmentation maps, dense 2D and 3D landmarks, depth maps, and surface normals, among others. This capability enables rapid design, testing, and refinement of products prior to hardware implementation. Additionally, it allows for prototyping with various imaging techniques, camera positions, and lens types to fine-tune system performance. By minimizing biases linked to imbalanced datasets while ensuring privacy, the platform promotes fair representation across diverse identities, facial features, poses, camera angles, lighting conditions, and more. Collaborating with leading customers across various applications, our platform continues to push the boundaries of AI development. Ultimately, it serves as a pivotal resource for engineers seeking to enhance their models and innovate in the field.

Scale Data Engine empowers machine learning teams to enhance their datasets effectively. By consolidating your data, authenticating it with ground truth, and incorporating model predictions, you can seamlessly address model shortcomings and data quality challenges. Optimize your labeling budget by detecting class imbalances, errors, and edge cases within your dataset using the Scale Data Engine. This platform can lead to substantial improvements in model performance by identifying and resolving failures. Utilize active learning and edge case mining to discover and label high-value data efficiently. By collaborating with machine learning engineers, labelers, and data operations on a single platform, you can curate the most effective datasets. Moreover, the platform allows for easy visualization and exploration of your data, enabling quick identification of edge cases that require labeling. You can monitor your models' performance closely and ensure that you consistently deploy the best version. The rich overlays in our powerful interface provide a comprehensive view of your data, metadata, and aggregate statistics, allowing for insightful analysis. Additionally, Scale Data Engine facilitates visualization of various formats, including images, videos, and lidar scenes, all enhanced with relevant labels, predictions, and metadata for a thorough understanding of your datasets. This makes it an indispensable tool for any data-driven project.

Enhance the platform to incorporate annotation capabilities specifically for segmentation tasks. Within the Zastra repository, innovative algorithms will facilitate segmentation processes to bolster active learning for various datasets. Comprehensive end-to-end ML operations will be implemented, complete with version control for datasets and experiments, alongside templated pipelines that enable model deployment across standard cloud environments and edge devices. By integrating advancements in Bayesian deep learning into the active learning framework, we aim to elevate the overall performance. Moreover, we will refine the accuracy of annotations using specialized architectures, such as Bayesian CNNs, ensuring superior results. Our dedicated team has invested extensive time and effort into developing this groundbreaking solution tailored for your needs. Though we are continuously enhancing the platform with new features, we eagerly invite you to experience a trial run! Zastra boasts a range of core functionalities, including active learning for object classification, detection, localization, and segmentation, applicable across various formats like images, videos, audio, text, and point cloud data. This versatility positions Zastra as a comprehensive tool to tackle diverse data challenges effectively.

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.

Your A.I. can be created using the Edgecase Platform In less than one day, your A.I. team can create 100k labeled photos -Data accuracy is guaranteed to be perfect because it is generated from 3D models and real life blended imagery. Data accuracy is no longer a concern -Each model can be modified, including the camera angle. You can change lighting, textures, camera angles, scene types, and more. All accessible via the cloud - Your A.I. Your existing data can be used to create your own datasets. We also have a large library of 3d hyper-realistic models that you can use to create your own.

Pure Moderation stands out as a worldwide provider of business process outsourcing solutions, offering a diverse array of services tailored to meet the specific demands of our partners. Our mission is to deliver cost-effective solutions that enhance operational efficiency for businesses of all sizes. Whether your needs involve minor, time-sensitive tasks or extensive, large-scale operations, our adaptable team is equipped to swiftly adjust to your requirements. With multiple office locations across Asia, Pure Moderation employs various multilingual teams to offer comprehensive support. We cater to a diverse clientele, from emerging startups to established multinational corporations, ensuring that we can assist businesses regardless of their scale. As a recognized leader in the BPO sector, we boast extensive experience, manage a substantial volume of interactions monthly, and maintain an impressive client retention rate. Additionally, we take pride in our post-sale client support, which encompasses reliable guarantees, employee training, and both onsite and offsite assistance. Our commitment to excellence ensures that our partners can focus on their core business while we handle the intricacies of their operational needs.

Kognic presents a state-of-the-art annotation platform tailored for sensor-fusion data, with the goal of minimizing both annotation time and expenses while ensuring premium quality results. This platform caters to a wide range of data labeling requirements, addressing everything from straightforward static objects to intricate scenarios, and includes features for 2D/3D objects, 2D instance segmentation, and free space annotations. One of its standout features is the co-pilot functionality, which utilizes imported predictions to automate processes, thereby cutting down annotation time by as much as 68% while still upholding quality standards. This automated approach allows for more effective human feedback where it truly counts, enhancing overall efficiency. In addition, Kognic places a strong emphasis on refining essential data to boost AI effectiveness, incorporating intelligent sorting based on model confidence and loss metrics, advanced filtering capabilities for both predicted and annotated objects, and seamless data chunk creation for focused reviews. Designed with enterprise needs in mind, Kognic is built to support missions at a global scale, making it a robust solution for organizations seeking to optimize their data annotation processes. By streamlining these processes, Kognic not only enhances productivity but also helps drive innovation in AI applications.

Intel® Geti™ software streamlines the creation of computer vision models through efficient data annotation and training processes. It offers features such as intelligent annotations, active learning, and task chaining, allowing users to develop models for tasks like classification, object detection, and anomaly detection without needing to write extra code. Furthermore, the platform includes optimizations, hyperparameter tuning, and models that are ready for production and optimized for Intel’s OpenVINO™ toolkit. Intended to facilitate teamwork, Geti™ enhances collaboration by guiding teams through the entire model development lifecycle, from labeling data to deploying models effectively. This comprehensive approach ensures that users can focus on refining their models while minimizing technical hurdles.

We apply the highest quality standards to label your data, ensuring that even the most intricate AI projects are well-supported through our exclusive labeling platform. This allows you to focus on developing the products that resonate with your customers. Our comprehensive solution for image annotation features rapid labeling tools, synthetic data generation, efficient data management, automation capabilities, and on-demand annotation services, all designed to expedite the completion of computer vision initiatives. When precision in every pixel is crucial, you require reliable, AI-driven image annotation tools that cater to your unique use cases, including various instances, attributes, and much more. Our skilled team of data labelers is adept at handling any data-related challenge that may arise. As your requirements for data labeling expand, you can trust us to scale the necessary workforce to achieve your objectives, ensuring that unlike crowdsourcing platforms, the quality of your data remains uncompromised. With our commitment to excellence, you can confidently advance your AI projects and deliver exceptional results.

Athina functions as a collaborative platform for AI development, empowering teams to efficiently create, test, and oversee their AI applications. It includes a variety of features such as prompt management, evaluation tools, dataset management, and observability, all aimed at facilitating the development of dependable AI systems. With the ability to integrate various models and services, including custom solutions, Athina also prioritizes data privacy through detailed access controls and options for self-hosted deployments. Moreover, the platform adheres to SOC-2 Type 2 compliance standards, ensuring a secure setting for AI development activities. Its intuitive interface enables seamless collaboration between both technical and non-technical team members, significantly speeding up the process of deploying AI capabilities. Ultimately, Athina stands out as a versatile solution that helps teams harness the full potential of artificial intelligence.

Utilize UBIAI's advanced labeling platform to accelerate the training and deployment of your personalized NLP model like never before! When handling semi-structured documents such as invoices or contracts, it is essential to maintain the original layout for optimal model training. By integrating natural language processing with computer vision, UBIAI’s OCR functionality empowers you to execute named entity recognition (NER), relation extraction, and classification tasks directly on native PDF files, scanned images, or smartphone pictures, all while preserving critical layout details, which leads to a remarkable enhancement in your NLP model's performance. With the UBIAI text annotation tool, you can carry out NER, relation extraction, and document classification seamlessly within the same user-friendly interface. Unlike many other platforms, UBIAI offers the capability to create nested and overlapping entities that encompass multiple relationships, thereby enriching your data annotation process. This unique feature not only simplifies your workflow but also enhances the depth of insights your model can achieve.

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.

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.

Labellerr is a data annotation platform aimed at streamlining the creation of top-notch labeled datasets essential for AI and machine learning applications. It accommodates a wide array of data formats, such as images, videos, text, PDFs, and audio, addressing various annotation requirements. This platform enhances the labeling workflow with automated features, including model-assisted labeling and active learning, which help speed up the process significantly. Furthermore, Labellerr includes sophisticated analytics and intelligent quality assurance tools to maintain the precision and dependability of annotations. For projects that demand specialized expertise, Labellerr also provides expert-in-the-loop services, granting access to professionals in specialized domains like healthcare and automotive, thereby ensuring high-quality results. This comprehensive approach not only facilitates efficient data preparation but also builds trust in the reliability of the labeled datasets produced.

Utilize data science to enhance traditional wisdom and promote equitable health outcomes for indigenous populations. Our goal is to connect the realms of research, healthcare, and data science seamlessly. We are working towards developing a comprehensive data science platform tailored for the medical and research sectors. By leveraging machine learning, generative AI, and advanced data science techniques, we aspire to transform these industries and make cutting-edge solutions available to you. Our platform will allow users to effectively manage, categorize, and analyze their visual data, automating image labeling, extracting meaningful insights, and generating synthetic datasets from your contributions. Features for bias detection and fostering community collaboration will be introduced in the near future. Additionally, we are committed to creating a solution that promotes social good, as we focus not only on bridging the technological accessibility gap but also on ensuring that our models are devoid of the algorithmic biases that often plague technological advancements. This endeavor is not just about technology; it's about empowering communities and fostering equitable health outcomes for all.

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.

Discover exceptional capabilities with an advanced AI data platform designed to optimize performance and ensure the success of your AI initiatives. ShaipCloud employs innovative technology to efficiently gather, monitor, and manage workloads, while also transcribing audio and speech, annotating text, images, and videos, and overseeing quality control and data transfer. This ensures that your AI project receives top-notch data without delay and at a competitive price. As your project evolves, ShaipCloud adapts alongside it, providing the scalability and necessary integrations to streamline operations and yield successful outcomes. The platform enhances workflow efficiency, minimizes complications associated with a globally distributed workforce, and offers improved visibility along with real-time quality management. While there are various data platforms available, ShaipCloud stands out as a dedicated AI data solution. Its secure human-in-the-loop framework is equipped to gather, transform, and annotate data seamlessly, making it an invaluable tool for AI developers. With ShaipCloud, you not only gain access to superior data capabilities but also a partner committed to your project's growth and success.

V7 Darwin is a data labeling and training platform designed to automate and accelerate the process of creating high-quality datasets for machine learning. With AI-assisted labeling and tools for annotating images, videos, and more, V7 makes it easy for teams to create accurate and consistent data annotations quickly. The platform supports complex tasks such as segmentation and keypoint labeling, allowing businesses to streamline their data preparation process and improve model performance. V7 Darwin also offers real-time collaboration and customizable workflows, making it suitable for enterprises and research teams alike.

Keylabs.ai is an image and video annotation platform built by annotation experts to deliver high-performance data annotation and management features and unique operations management. Its tools have a proven track record of handling large datasets efficiently and accurately. Trusted by global technology leaders, Keylabs.ai combines innovative technology with user-focused design to deliver solutions to projects of any type and size.

Nexdata's AI Data Annotation Platform serves as a comprehensive solution tailored to various data annotation requirements, encompassing an array of types like 3D point cloud fusion, pixel-level segmentation, speech recognition, speech synthesis, entity relationships, and video segmentation. It is equipped with an advanced pre-recognition engine that improves human-machine interactions and enables semi-automatic labeling, boosting labeling efficiency by more than 30%. To maintain superior data quality, the platform integrates multi-tier quality inspection management and allows for adaptable task distribution workflows, which include both package-based and item-based assignments. Emphasizing data security, it implements a robust system of multi-role and multi-level authority management, along with features such as template watermarking, log auditing, login verification, and API authorization management. Additionally, the platform provides versatile deployment options, including public cloud deployment that facilitates quick and independent system setup while ensuring dedicated computing resources. This combination of features makes Nexdata's platform not only efficient but also highly secure and adaptable to various operational needs.

Your AI warrants top-notch data. With an impressive accuracy rate of 99%, you can eliminate the hassle of acquiring machine learning datasets using Tictag's innovative mobile data platform along with Truetag's rigorous quality control. Tictag’s pioneering mobile data platform integrates a user-friendly design with engaging, gamified features to generate high-quality datasets, all supported by our unique Truetag quality assurance system. This represents the pinnacle of technology-driven labeling. Tictag adeptly gathers and annotates even the most complex datasets with exceptional accuracy for AI and ML applications, ensuring rapid turnaround times. The process of data labeling has reached unprecedented levels of speed and simplicity. Complete it once and do it correctly; Tictag's technologically enhanced Truetag quality control guarantees that your data meets your specific requirements. Additionally, through Tictag, your data demands create opportunities for individuals seeking alternative income sources or aspiring to acquire new skills. Thus, Tictag not only enhances your AI capabilities but also contributes to skill development in the community.