Alternatives to DataQueue

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.

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.

AI Studio offers a comprehensive suite of tools for end-to-end data operations (DataOps), development operations (DevOps), and Machine Learning operations (MLOps) powered by artificial intelligence. By employing our AI Software Platform, you can minimize reliance on crucial roles such as Data Scientists and ML engineers, significantly speeding up the transition from development to deployment while simplifying the management of edge AI systems throughout their lifecycle. This platform is tailored for deployment across various environments, including edge inference accelerators, on-premises edge servers, and cloud-based applications via AI-as-a-Service (AIaaS). It effectively shortens the timeline from data acquisition to AI implementation at the Edge, equipped with robust data-labeling and annotation capabilities. Furthermore, the automated processes that utilize an AI knowledge base, along with a MarketPlace and strategic guidance, empower Business Experts to leverage AI solutions more effectively, enhancing operational efficiency and innovation. Ultimately, AI Studio positions organizations to thrive in a rapidly evolving technological landscape.

DataOcean AI stands out as a premier provider of meticulously labeled training data and extensive AI data solutions, featuring an impressive array of over 1,600 pre-made datasets along with countless tailored datasets specifically designed for machine learning and artificial intelligence applications. Their diverse offerings encompass various modalities, including speech, text, images, audio, video, and multimodal data, effectively catering to tasks such as automatic speech recognition (ASR), text-to-speech (TTS), natural language processing (NLP), optical character recognition (OCR), computer vision, content moderation, machine translation, lexicon development, autonomous driving, and fine-tuning of large language models (LLMs). By integrating AI-driven methodologies with human-in-the-loop (HITL) processes through their innovative DOTS platform, DataOcean AI provides a suite of over 200 data-processing algorithms and numerous labeling tools to facilitate automation, assisted labeling, data collection, cleaning, annotation, training, and model evaluation. With nearly two decades of industry experience and a presence in over 70 countries, DataOcean AI is committed to upholding rigorous standards of quality, security, and compliance, effectively serving more than 1,000 enterprises and academic institutions across the globe. Their ongoing commitment to excellence and innovation continues to shape the future of AI data solutions.

Streamline your data acquisition by accessing it directly from its source with the 5x5 data cooperative. This cooperative unites a wide range of data sources and platforms, enabling you to develop data products more rapidly and with greater ease. Many organizations possess various data sets that can complement one another effectively. In an environment where these datasets can be integrated, they can yield results that surpass their individual capabilities, making the sourced data a catalyst for growth. Experience the advantages of boundless access to consumption-validated data with adaptable delivery methods. Regular monthly deliveries facilitate well-informed decision-making and enhance the cooperative's value and efficiency. By granting members ownership, control, and the authority to make decisions regarding their data, the cooperative nurtures an atmosphere of trust, collaboration, and personalized solutions. Members are not just passive participants but active contributors in the data sourcing ecosystem, helping to shape its direction and impact. This collaborative approach ensures that every member can leverage their unique insights to drive better outcomes.

HumanSignal's Label Studio Enterprise is a versatile platform crafted to produce high-quality labeled datasets and assess model outputs with oversight from human evaluators. This platform accommodates the labeling and evaluation of diverse data types, including images, videos, audio, text, and time series, all within a single interface. Users can customize their labeling environments through pre-existing templates and robust plugins, which allows for the adaptation of user interfaces and workflows to meet specific requirements. Moreover, Label Studio Enterprise integrates effortlessly with major cloud storage services and various ML/AI models, thus streamlining processes such as pre-annotation, AI-assisted labeling, and generating predictions for model assessment. The innovative Prompts feature allows users to utilize large language models to quickly create precise predictions, facilitating the rapid labeling of thousands of tasks. Its capabilities extend to multiple labeling applications, encompassing text classification, named entity recognition, sentiment analysis, summarization, and image captioning, making it an essential tool for various industries. Additionally, the platform's user-friendly design ensures that teams can efficiently manage their data labeling projects while maintaining high standards of accuracy.

Shaip is a comprehensive AI data platform delivering precise and ethical data collection, annotation, and de-identification services across text, audio, image, and video formats. Operating globally, Shaip collects data from more than 60 countries and offers an extensive catalog of off-the-shelf datasets for AI training, including 250,000 hours of physician audio and 30 million electronic health records. Their expert annotation teams apply industry-specific knowledge to provide accurate labeling for tasks such as image segmentation, object detection, and content moderation. The company supports multilingual conversational AI with over 70,000 hours of speech data in more than 60 languages and dialects. Shaip’s generative AI services use human-in-the-loop approaches to fine-tune models, optimizing for contextual accuracy and output quality. Data privacy and compliance are central, with HIPAA, GDPR, ISO, and SOC certifications guiding their de-identification processes. Shaip also provides a powerful platform for automated data validation and quality control. Their solutions empower businesses in healthcare, eCommerce, and beyond to accelerate AI development securely and efficiently.

QpiAI Pro is an innovative no-code AutoML and MLOps platform that simplifies AI development by leveraging generative AI tools for tasks such as automated data annotation, fine-tuning foundation models, and facilitating scalable deployment. The platform provides a range of flexible deployment options designed to accommodate the specific requirements of enterprises, including cloud VPC deployment within an enterprise VPC on public clouds, a managed service on public cloud featuring an integrated QpiAI serverless billing system, and deployment within enterprise data centers to ensure full control over security and compliance. These deployment solutions significantly boost operational efficiency while granting comprehensive access to the platform's features. Additionally, QpiAI Pro is an integral component of QpiAI’s product suite, which synergizes AI and quantum technology to address intricate scientific and business challenges across diverse sectors. This robust integration empowers organizations to harness cutting-edge technology for improved decision-making and innovation.

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.

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.

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.

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.

Harnessing artificial intelligence to enhance the development of more effective AI solutions involves several key components. These include tools for pixel-perfect annotation, systems for managing annotator performance, builders for creating labeling instructions, and robust controls for data security and privacy. By integrating these elements, organizations can ensure a more precise and efficient training process for their AI models. Additionally, the implementation of such technologies can lead to improved outcomes and greater trust in AI applications.

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.

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.

T-Rex Label is a sophisticated annotation tool that caters to intricate scenario labeling across diverse sectors. It stands out as the preferred choice for individuals looking to enhance their workflows and generate superior datasets with ease. By utilizing visual prompts, T-Rex enables the rapid prediction of multiple bounding boxes simultaneously, making it particularly suitable for annotating scenes that are complex and densely packed. With its remarkable zero-shot detection feature, T-Rex facilitates the annotation of intricate scenes across various industries without the need for fine-tuning, thereby supporting a wide range of applications from agriculture to logistics and more. This tool aids an increasing number of algorithm engineers and researchers in accelerating their annotation processes, fostering the development of high-quality datasets. Furthermore, T-Rex2 marks a notable advancement towards more versatile and adaptable object detection, harnessing the synergistic strengths of both language and visual inputs, thereby expanding its utility in the field. The evolution of T-Rex not only enhances productivity but also sets a new standard in the realm of data annotation technology.

Effortlessly create a wide variety of realistic synthetic data and detailed 3D environments to boost model efficacy. Bifrost's platform stands out as the quickest solution for producing the high-quality synthetic images necessary to enhance machine learning performance and address the limitations posed by real-world datasets. By bypassing the expensive and labor-intensive processes of data collection and annotation, you can prototype and test up to 30 times more efficiently. This approach facilitates the generation of data that represents rare scenarios often neglected in actual datasets, leading to more equitable and balanced collections. The traditional methods of manual annotation and labeling are fraught with potential errors and consume significant resources. With Bifrost, you can swiftly and effortlessly produce data that is accurately labeled and of pixel-perfect quality. Furthermore, real-world data often reflects the biases present in the conditions under which it was gathered, and synthetic data generation provides a valuable solution to mitigate these biases and create more representative datasets. By utilizing this advanced platform, researchers can focus on innovation rather than the cumbersome aspects of data preparation.

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.

The quality of training data is vital for all large language models, whether it is created in-house or sourced from existing datasets. Implementing a human-in-the-loop labeling system provides immediate feedback that is crucial for refining datasets, ultimately leading to the development of highly effective and unique AI models. Our precise data labeling services incorporate quicker human contributions, which enhance the diversity and resilience of input, thereby increasing the adaptability of language models for various enterprise applications. By effectively managing our labeling teams, we ensure you only invest in the necessary expertise and experience that your data labeling project demands. Sapien is adept at quickly adjusting labeling operations to accommodate both large and small annotation projects, demonstrating human intelligence at scale. Additionally, we can tailor labeling models to meet your specific data types, formats, and annotation needs, ensuring accuracy and relevance in every project. This customized approach significantly boosts the overall efficiency and effectiveness of your AI initiatives.

Cinefly is an innovative media-tech enterprise focused on user-generated video content. Our platform empowers you to collaboratively produce video content with anyone, at any time, and from anywhere across the globe. Through our user-friendly customer portal, you can request, choose, or create your own storyboard, enabling you to distribute it to anyone worldwide for collaborative video creation. Our advanced video platform is supported by big-data analytics, allowing you to craft narratives that maximize both reach and viewer engagement. Effortlessly obtain user-generated video content for your branded projects while sidestepping the complexities of IP rights. You can also curate the content seamlessly, giving you control over which videos users are allowed to share. With each storyboard you produce on our platform, our machine learning algorithms continuously evolve, providing your creative teams with invaluable insights that lead to increasingly compelling stories. This cycle of learning ensures that as you engage more with the platform, the quality of the content generated improves exponentially.

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.

Jina Search allows you to perform searches in mere seconds, outpacing traditional search engines in both speed and precision. Leveraging advanced AI capabilities, it comprehensively analyzes the information contained in both text and images, ensuring you receive thorough and relevant results. Transform the way you search and discover what you need with the innovative features of Jina Search. In scenarios where the dataset contains mislabeled items, conventional search methods struggle to deliver meaningful outcomes, whereas Jina Search excels by not depending on tags and effectively locating superior items. By utilizing cutting-edge machine learning models, Jina Search seamlessly integrates multiple data types, including images and text, all while preserving your existing Elasticsearch customizations. Consequently, there’s no requirement to manually label each image in your dataset, as Jina Search intuitively processes and categorizes images for you, enhancing your overall search experience. This automated understanding of visual content significantly reduces the time and effort needed to manage large datasets.

Neptune.ai serves as a robust platform for machine learning operations (MLOps), aimed at simplifying the management of experiment tracking, organization, and sharing within the model-building process. It offers a thorough environment for data scientists and machine learning engineers to log data, visualize outcomes, and compare various model training sessions, datasets, hyperparameters, and performance metrics in real-time. Seamlessly integrating with widely-used machine learning libraries, Neptune.ai allows teams to effectively oversee both their research and production processes. Its features promote collaboration, version control, and reproducibility of experiments, ultimately boosting productivity and ensuring that machine learning initiatives are transparent and thoroughly documented throughout their entire lifecycle. This platform not only enhances team efficiency but also provides a structured approach to managing complex machine learning workflows.

ModelArts, an all-encompassing AI development platform from Huawei Cloud, is crafted to optimize the complete AI workflow for both developers and data scientists. This platform encompasses a comprehensive toolchain that facilitates various phases of AI development, including data preprocessing, semi-automated data labeling, distributed training, automated model creation, and versatile deployment across cloud, edge, and on-premises systems. It is compatible with widely used open-source AI frameworks such as TensorFlow, PyTorch, and MindSpore, while also enabling the integration of customized algorithms to meet unique project requirements. The platform's end-to-end development pipeline fosters enhanced collaboration among DataOps, MLOps, and DevOps teams, resulting in improved development efficiency by as much as 50%. Furthermore, ModelArts offers budget-friendly AI computing resources with a range of specifications, supporting extensive distributed training and accelerating inference processes. This flexibility empowers organizations to adapt their AI solutions to meet evolving business challenges effectively.

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.

TagX provides all-encompassing data and artificial intelligence solutions, which include services such as developing AI models, generative AI, and managing the entire data lifecycle that encompasses collection, curation, web scraping, and annotation across various modalities such as image, video, text, audio, and 3D/LiDAR, in addition to synthetic data generation and smart document processing. The company has a dedicated division that focuses on the construction, fine-tuning, deployment, and management of multimodal models like GANs, VAEs, and transformers for tasks involving images, videos, audio, and language. TagX is equipped with powerful APIs that facilitate real-time insights in financial and employment sectors. The organization adheres to strict standards, including GDPR, HIPAA compliance, and ISO 27001 certification, catering to a wide range of industries such as agriculture, autonomous driving, finance, logistics, healthcare, and security, thereby providing privacy-conscious, scalable, and customizable AI datasets and models. This comprehensive approach, which spans from establishing annotation guidelines and selecting foundational models to overseeing deployment and performance monitoring, empowers enterprises to streamline their documentation processes effectively. Through these efforts, TagX not only enhances operational efficiency but also fosters innovation across various sectors.

DANMARK is one of the leading distribution companies in Europe providing independent labels, established artists, newcomers, and content owners with a powerful, scalable full-service solution that maximizes sales in the global digital marketplace.

Delve into a vast collection of meticulously curated single-cell transcriptome datasets, as well as your own, using dynamic visualizations and analytical tools. This software is versatile, accommodating multimodal omics, CITE-seq, TCR-seq, and spatial transcriptomics. Engage with the most extensive single-cell expression database globally, where you can access and extract insights from a repository featuring millions of fully annotated cells complete with cell type labels and experimental metadata. Beyond merely serving as a conduit to published research, BioTuring Browser functions as a comprehensive end-to-end solution tailored for your specific single-cell data needs. Easily import your fastq files, count matrices, or Seurat and Scanpy objects to uncover the biological narratives contained within. With an intuitive interface, you can access an extensive array of visualizations and analyses, transforming the process of extracting insights from any curated or personal single-cell dataset into a seamless experience. Additionally, the platform allows for the importation of single-cell CRISPR screening or Perturb-seq data, enabling users to query guide RNA sequences with ease. This functionality not only enhances research capabilities but also facilitates the discovery of novel biological insights.

Introducing a comprehensive platform designed for aerial mapping, modeling, and inspection tailored for enterprises. Harness cutting-edge artificial intelligence to enhance your aerial data, facilitating automated analysis, efficient reporting, and expedited workflows. Whether you are surveying vast agricultural lands or examining numerous utility towers, PrecisionAnalytics empowers you to identify potential issues before they escalate into significant challenges, while ensuring your organization benefits from accessible and transportable data. As businesses leverage drones to amass an exceptional quantity of aerial data, it becomes crucial for leaders to adopt a methodical strategy for consolidating, analyzing, and taking action based on their aerial intelligence. With the oversight of our skilled data scientists, our proprietary AI algorithms meticulously process and interpret sensor data, transforming it into actionable insights. This innovative approach not only optimizes data utilization but also enhances decision-making across various sectors.

BeeKeeperAI™ employs advanced privacy-preserving analytics across various institutional sources of protected data within a secure computing framework that includes end-to-end encryption, secure enclaves, and the latest processors from Intel featuring SGX technology, ensuring robust protection for both data and algorithm intellectual property. This system guarantees that data remains within the organization's secure cloud environment, thereby mitigating risks associated with control loss and potential data resharing. Unlike relying on synthetic or de-identified data, BeeKeeperAI™ utilizes original primary data directly from its sources, maintaining constant encryption throughout the process. The platform offers specialized tools and workflows tailored for healthcare that facilitate the creation, labeling, segmentation, and annotation of datasets. By leveraging secure enclaves, BeeKeeperAI™ effectively prevents any risk of data exfiltration and shields algorithm IP from potential internal and external threats. Acting as a crucial intermediary, BeeKeeperAI™ connects data stewards with algorithm developers, significantly cutting down the time, effort, and costs associated with data projects by more than half, thus streamlining the overall process. This innovative approach not only enhances data security but also fosters collaboration and efficiency in the healthcare sector.

Develop training datasets for computer vision models using our comprehensive management solution. We are convinced that the quality of data labeling plays a crucial role in crafting successful deep learning models. Our mission is to establish ourselves as the foremost data labeling platform in the industry, enabling businesses to fully leverage the potential of AI technology. Organize your media assets into distinct categories for better management. Highlight specific items of interest using one or multiple bounding boxes to enhance detection accuracy. Utilize bounding boxes with added precision for more detailed annotations. Provide accurate measurements of width, depth, and height for various objects. Classify every pixel in an image for fine-grained analysis. Identify and mark individual points to capture specific details within images. Annotate straight lines to assist in geometric assessments. Measure critical attributes like yaw, pitch, and roll for items of interest. Keep track of timestamps in both video and audio content for synchronization purposes. Additionally, annotate freeform lines in images to capture more complex shapes and designs, enhancing the depth of your data labeling efforts.

A one-of-a-kind platform tailored exclusively for the distinct requirements of festival producers and operators, Elevate Tickets combines a powerful, customizable ticketing solution with extensive operational support. It offers a wide array of technology and services, including essential ticketing, online sales, data analytics, RFID entry management, customer support, event coordination, and on-site assistance. Esteemed by festivals and events throughout North America, Elevate Tickets stands as a reliable collaborator in the industry. Its commitment to understanding the specific challenges faced by event organizers sets it apart in the marketplace.

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.

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.

CoreLogic's RP Data stands as its premier platform, delivering extensive property data and analytics that are relied upon by real estate experts, financial institutions, and governmental bodies throughout Australia. With a rich history of over 40 years in gathering property information, it boasts a database of more than 10 million properties and records over 600,000 sales and 550,000 rental transactions each year, pulling from upwards of 7,000 data sources. The platform provides users with in-depth property reports, suburb statistics, and Automated Valuation Model (AVM) reports featuring estimated value ranges, confidence scores, and data on comparable sales. Also included are innovative tools such as Prospector for pinpointing potential sellers, RP Proposals for crafting branded digital reports, and Territory Builder for tracking specific properties or regions. Furthermore, the RP Data Mobile app empowers users to stay informed by accessing property specifics, market trends, and the ability to generate reports while on the move. This comprehensive suite of features makes RP Data an indispensable resource for anyone involved in the Australian property market.

NuVerve is a collaborative SaaS that offers Scientific Data Intelligence for scientists. It provides a set easy-to-use features to structure data, create custom analyses, and automatically generate reports. NuVerve, priced at $75/month, is available to all scientists.

Create, assess, implement, and enhance tailored natural language processing models with ease. Equip your team to streamline workflows without the need for an AI expert team or expensive infrastructure. Metatext makes it straightforward to develop personalized AI/NLP models, even if you lack knowledge in machine learning, data science, or MLOps. By following a few simple steps, you can automate intricate workflows and rely on a user-friendly interface and APIs to manage the complex tasks. Introduce AI into your team with an easy-to-navigate UI, incorporate your domain knowledge, and let our APIs take care of the demanding work. Your custom AI can be trained and deployed automatically, ensuring that you harness the full potential of advanced deep learning algorithms. Experiment with the capabilities using a dedicated Playground, and seamlessly integrate our APIs with your existing systems, including Google Spreadsheets and other applications. Choose the AI engine that aligns best with your specific needs, as each option provides a range of tools to help in creating datasets and refining models. You can upload text data in multiple formats and utilize our AI-supported data labeling tool to annotate labels effectively, enhancing the overall quality of your projects. Ultimately, this approach empowers teams to innovate rapidly while minimizing reliance on external expertise.

When capturing data in real-life situations is difficult, we create diverse, fully-labeled image datasets. Our procedural technology provides the highest-quality, unbiased, and labeled synthetic datasets to improve your computer vision model. AI Verse gives users full control over scene parameters. This allows you to fine-tune environments for unlimited image creation, giving you a competitive edge in computer vision development.

The platform allows non-practitioners to use machine learning and automates MLOps within enterprises. There is no need to have any prior knowledge. Simply upload your data to datrics.ai and you can do experiments, prototyping and self-service analytics faster using template pipelines. You can also create APIs and forecasting dashboards with just a few clicks.

Fully automated shipping flows reduce manual labor and human error. Marketplaces can help you meet shipping deadlines. Downloadable orders are filtered, sorted, and placed in the correct order queue. Ship method and weight are also set. Once the label is generated, the tracking number is automatically updated to all marketplaces. Bulk shipping can create labels for hundreds of orders at once. You can significantly reduce the time it takes to ship. You can rate shop among all major shipping companies to find the lowest shipping cost and the lowest rate. Address validation corrects incorrect addresses and ensures fast delivery. Comprehensive reports provide consolidated data on sales, inventory and shipping costs. This will give you a better overview of your business. These reports are easy to find and generate. Orders Report provides detailed customer information that can also be used to create a master contact list.

DataSeeds.ai specializes in providing extensive, ethically sourced, and high-quality datasets of images and videos designed for AI training, offering both standard collections and tailored custom options. Their extensive libraries feature millions of images that come fully annotated with various data, including EXIF metadata, content labels, bounding boxes, expert aesthetic evaluations, scene context, and pixel-level masks. The datasets are well-suited for object and scene detection tasks, boasting global coverage and a human-peer-ranking system to ensure labeling accuracy. Custom datasets can be quickly developed through a wide-reaching network of contributors spanning over 160 countries, enabling the collection of images that meet specific technical or thematic needs. In addition to the rich image content, the annotations provided encompass detailed titles, comprehensive scene context, camera specifications (such as type, model, lens, exposure, and ISO), environmental attributes, as well as optional geo/contextual tags to enhance the usability of the data. This commitment to quality and detail makes DataSeeds.ai a valuable resource for AI developers seeking reliable training materials.

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.

Keymakr specializes in providing image and video data annotation, data creation, data collection, and data validation services for AI/ML Computer Vision projects. With a strong technological foundation and expertise, Keymakr efficiently manages data across various domains. Keymakr's motto, "Human teaching for machine learning," reflects its commitment to the human-in-the-loop approach. The company maintains an in-house team of over 600 highly skilled annotators. Keymakr's goal is to deliver custom datasets that enhance the accuracy and efficiency of ML systems.

SKY ENGINE AI is a simulation and deep learning platform that generates fully annotated, synthetic data and trains AI computer vision algorithms at scale. The platform is architected to procedurally generate highly balanced imagery data of photorealistic environments and objects and provides advanced domain adaptation algorithms. SKY ENGINE AI platform is a tool for developers: Data Scientists, ML/Software Engineers creating computer vision projects in any industry. SKY ENGINE AI is a Deep Learning environment for AI training in Virtual Reality with Sensors Physics Simulation & Fusion for any Computer Vision applications.

Powerdrill is a SaaS AI service that focuses on personal and enterprise datasets. Powerdrill is designed to unlock the full value of your data. You can use natural language to interact with your datasets, for tasks ranging anywhere from simple Q&As up to insightful BI analyses. Powerdrill increases data processing efficiency by breaking down barriers in knowledge acquisition and data analytics. Powerdrill's competitive capabilities include precise understanding of user intentions, the hybrid use of large-scale, high-performance Retrieval Augmented Generation frameworks, comprehensive dataset understanding through indexing, multimodal support for multimedia inputs and outputs, and proficient code creation for data analysis.