Alternatives to Pixta AI

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

APISCRAPY is an AI-driven web scraping and automation platform converting any web data into ready-to-use data API. Other Data Solutions from AIMLEAP: AI-Labeler: AI-augmented annotation & labeling tool AI-Data-Hub: On-demand data for building AI products & services PRICE-SCRAPY: AI-enabled real-time pricing tool API-KART: AI-driven data API solution hub  About AIMLEAP AIMLEAP is an ISO 9001:2015 and ISO/IEC 27001:2013 certified global technology consulting and service provider offering AI-augmented Data Solutions, Data Engineering, Automation, IT, and Digital Marketing services. AIMLEAP is certified as ‘The Great Place to Work®’. Since 2012, we have successfully delivered projects in IT & digital transformation, automation-driven data solutions, and digital marketing for 750+ fast-growing companies globally. Locations: USA: 1-30235 14656 Canada: +1 4378 370 063 India: +91 810 527 1615 Australia: +61 402 576 615

Bright Data holds the title of the leading platform for web data, proxies, and data scraping solutions globally. Various entities, including Fortune 500 companies, educational institutions, and small enterprises, depend on Bright Data's offerings to gather essential public web data efficiently, reliably, and flexibly, enabling them to conduct research, monitor trends, analyze information, and make well-informed decisions. With a customer base exceeding 20,000 and spanning nearly all sectors, Bright Data's services cater to a diverse range of needs. Its offerings include user-friendly, no-code data solutions for business owners, as well as a sophisticated proxy and scraping framework tailored for developers and IT specialists. What sets Bright Data apart is its ability to deliver a cost-effective method for rapid and stable public web data collection at scale, seamlessly converting unstructured data into structured formats, and providing an exceptional customer experience—all while ensuring full transparency and compliance with regulations. This commitment to excellence has made Bright Data an essential tool for organizations seeking to leverage web data for strategic advantages.

Kled serves as a secure marketplace powered by cryptocurrency, designed to connect content rights holders with AI developers by offering high-quality datasets that are ethically sourced and encompass various formats like video, audio, music, text, transcripts, and behavioral data for training generative AI models. The platform manages the entire licensing process, including curating, labeling, and assessing datasets for accuracy and bias, while also handling contracts and payments in a secure manner, and enabling the creation and exploration of custom datasets within its marketplace. Rights holders can easily upload their original content, set their licensing preferences, and earn KLED tokens in return, while developers benefit from access to premium data that supports responsible AI model training. In addition, Kled provides tools for monitoring and recognition to ensure that usage remains authorized and to detect potential misuse. Designed with transparency and compliance in mind, the platform effectively connects intellectual property owners and AI developers, delivering a powerful yet intuitive interface that enhances user experience. This innovative approach not only fosters collaboration but also promotes ethical practices in the rapidly evolving AI landscape.

Gramosynth is an innovative platform driven by AI that specializes in creating high-quality synthetic music datasets designed for the training of advanced AI models. Utilizing Rightsify’s extensive library, this system runs on a constant data flywheel that perpetually adds newly released music, generating authentic, copyright-compliant audio with professional-grade 48 kHz stereo quality. The generated datasets come equipped with detailed, accurate metadata, including information on instruments, genres, tempos, and keys, all organized for optimal model training. This platform can significantly reduce data collection timelines by as much as 99.9%, remove licensing hurdles, and allow for virtually unlimited scalability. Users can easily integrate Gramosynth through a straightforward API, where they can set parameters such as genre, mood, instruments, duration, and stems, resulting in fully annotated datasets that include unprocessed stems and FLAC audio, with outputs available in both JSON and CSV formats. Furthermore, this tool represents a significant advancement in music dataset generation, providing a comprehensive solution for developers and researchers alike.

Defined.ai offers AI professionals the data, tools, and models they need to create truly innovative AI projects. You can make money with your AI tools by becoming an Amazon Marketplace vendor. We will handle all customer-facing functions so you can do what you love: create tools that solve problems in artificial Intelligence. Contribute to the advancement of AI and make money doing it. Become a vendor in our Marketplace to sell your AI tools to a large global community of AI professionals. Speech, text, and computer vision datasets. It can be difficult to find the right type of AI training data for your AI model. Thanks to the variety of datasets we offer, Defined.ai streamlines this process. They are all rigorously vetted for bias and quality.

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.

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.

Synetic AI is an innovative platform designed to speed up the development and implementation of practical computer vision models by automatically creating highly realistic synthetic training datasets with meticulous annotations, eliminating the need for manual labeling altogether. Utilizing sophisticated physics-based rendering and simulation techniques, it bridges the gap between synthetic and real-world data, resulting in enhanced model performance. Research has shown that its synthetic data consistently surpasses real-world datasets by an impressive average of 34% in terms of generalization and recall. This platform accommodates an infinite array of variations—including different lighting, weather conditions, camera perspectives, and edge cases—while providing extensive metadata, thorough annotations, and support for multi-modal sensors. This capability allows teams to quickly iterate and train their models more efficiently and cost-effectively compared to conventional methods. Furthermore, Synetic AI is compatible with standard architectures and export formats, manages edge deployment and monitoring, and can produce complete datasets within about a week, along with custom-trained models ready in just a few weeks, ensuring rapid delivery and adaptability to various project needs. Overall, Synetic AI stands out as a game-changer in the realm of computer vision, revolutionizing how synthetic data is leveraged to enhance model accuracy and efficiency.

We are connecting rights holders with AI developers to ensure that those who own copyrights receive fair compensation for their creative works. This initiative supports AI developers in responsibly sourcing high-quality data while providing a detailed catalog of rights holders and their respective works. By facilitating access to premium data, we empower AI developers to enhance their projects. Rights holders maintain intricate control over which specific works can be utilized for AI training purposes. Additionally, we offer monitoring solutions to identify any unauthorized use of copyrighted content. Our platform enables rights holders to generate revenue by licensing their works for AI training through recurring subscriptions or revenue-sharing agreements. We also assist publishers in preparing their content for AI models by indexing, benchmarking, and assessing data sets to highlight their quality and worth. You can upload your catalog to the marketplace at no cost, ensuring you receive fair compensation for your work. Furthermore, you can easily opt in or out of generative AI applications and receive notifications regarding potential copyright infringements, thereby safeguarding your rights and interests in the evolving digital landscape. This comprehensive approach not only benefits rights holders but also fosters a responsible and ethical AI development ecosystem.

Bitext specializes in creating multilingual hybrid synthetic training datasets tailored for intent recognition and the fine-tuning of language models. These datasets combine extensive synthetic text generation with careful expert curation and detailed linguistic annotation, which encompasses various aspects like lexical, syntactic, semantic, register, and stylistic diversity, all aimed at improving the understanding, precision, and adaptability of conversational models. For instance, their open-source customer support dataset includes approximately 27,000 question-and-answer pairs, totaling around 3.57 million tokens, 27 distinct intents across 10 categories, 30 types of entities, and 12 tags for language generation, all meticulously anonymized to meet privacy, bias reduction, and anti-hallucination criteria. Additionally, Bitext provides industry-specific datasets, such as those for travel and banking, and caters to over 20 sectors in various languages while achieving an impressive accuracy rate exceeding 95%. Their innovative hybrid methodology guarantees that the training data is not only scalable and multilingual but also compliant with privacy standards, effectively reduces bias, and is well-prepared for the enhancement and deployment of language models. This comprehensive approach positions Bitext as a leader in delivering high-quality training resources for advanced conversational AI systems.

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.

Twine AI provides customized services for the collection and annotation of speech, image, and video data, catering to the creation of both standard and bespoke datasets aimed at enhancing AI/ML model training and fine-tuning. The range of offerings includes audio services like voice recordings and transcriptions available in over 163 languages and dialects, alongside image and video capabilities focused on biometrics, object and scene detection, and drone or satellite imagery. By utilizing a carefully selected global community of 400,000 to 500,000 contributors, Twine emphasizes ethical data gathering, ensuring consent and minimizing bias while adhering to ISO 27001-level security standards and GDPR regulations. Each project is comprehensively managed, encompassing technical scoping, proof of concept development, and complete delivery, with the support of dedicated project managers, version control systems, quality assurance workflows, and secure payment options that extend to more than 190 countries. Additionally, their service incorporates human-in-the-loop annotation, reinforcement learning from human feedback (RLHF) strategies, dataset versioning, audit trails, and comprehensive dataset management, thereby facilitating scalable training data that is rich in context for sophisticated computer vision applications. This holistic approach not only accelerates the data preparation process but also ensures that the resulting datasets are robust and highly relevant for various AI initiatives.

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.

FileMarket.xyz serves as an innovative Web3 platform for file-sharing and marketplaces, enabling users to tokenize, store, sell, and trade digital files as NFTs through its unique Encrypted FileToken (EFT) standard, which ensures full on-chain programmable access and tokenized paywalls. Leveraging the power of Filecoin (FVM/FEVM), IPFS, and multi-chain capabilities including ZkSync and Ethereum, it guarantees perpetual decentralized storage while prioritizing user privacy and ongoing access via smart contracts. Through the use of robust encryption, files are symmetrically stored on Filecoin with the help of Lighthouse, allowing creators to mint NFTs that represent the encrypted content and define access conditions. Buyers can allocate funds within a smart contract, provide their public key, and once the purchase is finalized, they receive an encrypted decryption key to download and unlock the file. A backend listener, along with a fraud-reporting mechanism, is implemented to confirm that only accurately decrypted files are finalized in a transaction, while ownership transitions activate secure exchanges of keys, enhancing the security of the entire process. This ensures a seamless experience for both creators and buyers, fostering trust and efficiency in every transaction.

Eliminate the lengthy research phase and find the ideal data solutions for your business with ease. Benefit from complimentary, impartial guidance from data specialists who provide extensive insights on over 2,000 data vendors across 210 categories. Our knowledgeable team will assist you throughout the entire sourcing journey without any cost. Define your objectives, applications, and data needs succinctly, and receive a curated list of appropriate data providers from our experts. You can then evaluate various data options and make your selection at your convenience. We focus on connecting you with the most relevant data providers, sparing you from unproductive sales pitches. Our service ensures you’re linked with the right contacts for swift responses. Additionally, our platform and team are dedicated to helping you monitor your data sourcing progress, ensuring you secure optimal deals while meeting your business goals effectively. This comprehensive support streamlines the process and enhances your overall experience.

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.

TollBit offers a comprehensive solution for overseeing AI traffic, overseeing licensing agreements, and monetizing your content in today's AI-driven landscape. With TollBit, you can identify which user agents are attempting to access restricted content. Additionally, we keep current records of user agents and IP addresses linked to AI applications throughout our network. The user-friendly interface allows for seamless navigation and personalized analyses. Users can input their own user agents to uncover the most visited pages and track the evolution of AI traffic over time. TollBit also facilitates the ingestion of historical logs, enabling your team to effectively analyze trends in AI interactions with your material through a straightforward interface, without the need to manage your own cloud infrastructure (note: this feature is not part of the free tier). As the AI market continues to expand, our platform makes it easy to tap into new opportunities. By simplifying licensing processes, we empower you to effectively monetize your content within the rapidly changing realm of AI development. Establish your terms clearly, and we will connect you with innovative AI entities eager to invest in your contributions. Moreover, our analytics tools provide insights that can help you make informed decisions about your content strategy.

ScalePost serves as a reliable hub for AI enterprises and content publishers to forge connections, facilitating access to data, revenue generation through content, and insights driven by analytics. For publishers, the platform transforms content accessibility into a source of income, granting them robust AI monetization options along with comprehensive oversight. Publishers have the ability to manage who can view their content, prevent unauthorized bot access, and approve only trusted AI agents. Emphasizing the importance of data privacy and security, ScalePost guarantees that the content remains safeguarded. Additionally, it provides tailored advice and market analysis regarding AI content licensing revenue, as well as in-depth insights into content utilization. The integration process is designed to be straightforward, allowing publishers to start monetizing their content in as little as 15 minutes. For companies focused on AI and LLMs, ScalePost offers a curated selection of verified, high-quality content that meets specific requirements. Users can efficiently collaborate with reliable publishers, significantly reducing the time and resources spent. The platform also allows for precise control, ensuring that users can access content that directly aligns with their unique needs and preferences. Ultimately, ScalePost creates a streamlined environment where both publishers and AI companies can thrive together.

OCI Data Labeling is a powerful tool designed for developers and data scientists to create precisely labeled datasets essential for training AI and machine learning models. This service accommodates various formats, including documents (such as PDF and TIFF), images (like JPEG and PNG), and text, enabling users to upload unprocessed data, apply various annotations—such as classification labels, object-detection bounding boxes, or key-value pairs—and then export the annotated results in line-delimited JSON format, which facilitates smooth integration into model-training processes. It also provides customizable templates tailored for different annotation types, intuitive user interfaces, and public APIs for efficient dataset creation and management. Additionally, the service ensures seamless interoperability with other data and AI services, allowing for the direct feeding of annotated data into custom vision or language models, as well as Oracle's AI offerings. Users can leverage OCI Data Labeling to generate datasets, create records, annotate them, and subsequently utilize the exported snapshots for effective model development, ensuring a streamlined workflow from data labeling to AI model training. Consequently, the service enhances the overall productivity of teams focusing on AI initiatives.

Take charge of your creative work's AI rights and receive fair compensation for its utilization by AI firms. You maintain authority over whether and how your creations are utilized by AI collaborators. We handle the intricate details of the licensing agreements while you monitor your earnings through an intuitive dashboard. You’ll receive payment whenever your work is licensed, and you can effortlessly choose to participate in licensing arrangements or opt out. It's entirely up to you to determine what you are comfortable with in terms of licensing, while we manage everything else. Gain access to carefully curated, original content and develop projects with the explicit permission of rights holders. Our mission is to protect human creativity and foster its growth in the age of AI. We firmly believe that maximizing technological benefits requires us to continue enjoying the finest human-generated works. We honor and cultivate the distinctive skills and expressions that define our humanity, and we are committed to uniting diverse groups to create a disproportionately positive effect on society. Our focus is on establishing lasting, meaningful relationships rather than chasing quick profits, as we understand the value of community and collaboration. In doing so, we aspire to create a more inclusive and supportive environment for all creators.

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.

Data & Sons represents the pioneering open dataset marketplace that fosters the equitable exchange of information, allowing individuals to buy, sell, share, and request datasets utilizing a cohesive web-based platform. On this marketplace, sellers are able to showcase their datasets, enabling buyers to easily find and acquire them with just one click. Transactions occur in real time, ensuring that sellers receive immediate payment for their sales and granting them the opportunity to resell datasets without limitations. Additionally, the platform accommodates tailored data requests and fulfillment workflows, which empower users to submit, monitor, and complete custom dataset orders. With a user-friendly interface that assists users throughout the processes of listing, discovering, and transacting, Data & Sons also provides extensive tutorials, FAQs, and support materials to facilitate a smooth onboarding experience. Moreover, each dataset undergoes rigorous vetting to ensure compliance with privacy standards and quality, creating a trustworthy environment for both data monetization and sharing. This innovative approach not only enhances accessibility to valuable datasets but also encourages a collaborative community of data enthusiasts.

DataGen delivers cutting-edge AI synthetic data and generative AI solutions designed to accelerate machine learning initiatives with privacy-compliant training data. Their core platform, SynthEngyne, enables the creation of custom datasets in multiple formats—text, images, tabular, and time-series—with fast, scalable real-time processing. The platform emphasizes data quality through rigorous validation and deduplication, ensuring reliable training inputs. Beyond synthetic data, DataGen offers end-to-end AI development services including full-stack model deployment, custom fine-tuning aligned with business goals, and advanced intelligent automation systems to streamline complex workflows. Flexible subscription plans range from a free tier for small projects to pro and enterprise tiers that include API access, priority support, and unlimited data spaces. DataGen’s synthetic data benefits sectors such as healthcare, automotive, finance, and retail by enabling safer, compliant, and efficient AI model training. Their platform supports domain-specific custom dataset creation while maintaining strict confidentiality. DataGen combines innovation, reliability, and scalability to help businesses maximize the impact of AI.

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.

RedBrick AI serves as a rapidly collaborative platform for annotating medical data, specifically designed to assist healthcare AI teams in creating high-quality training datasets across various types of radiological imagery, including CT, MRI, X-ray, Ultrasound, Fluoroscopy, and additional standard imaging techniques. The platform is adept at managing intricate tasks such as multi-series annotation and extensive DICOM studies, thanks to its native compatibility with medical data formats including DICOM and NIfTI. Furthermore, it boasts cutting-edge, user-friendly 2D and 3D web-based annotation tools, complemented by a PACS-like viewer. RedBrick AI supports a wide array of annotation use cases, including instance and semantic segmentation, landmark identification, classification, and ROI measurements, thereby enhancing the speed of annotation processes by as much as 60%. This significant improvement in efficiency can empower healthcare professionals to focus more on patient care rather than on time-consuming data preparation tasks.

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.

DataHive delivers premium, large-scale datasets created specifically for AI model training across multiple modalities, including text, images, audio, and video. Leveraging a distributed global workforce, the company produces original, IP-cleared data that is consistently labeled, verified, and enriched with detailed metadata. Its catalog includes proprietary e-commerce listings, extensive ratings and reviews collections, multilingual speech recordings, professionally transcribed audio, sentiment-annotated video archives, and human-generated photo libraries. These datasets enable applications such as recommendation systems, speech recognition engines, computer vision models, consumer insights tools, and generative AI development. DataHive emphasizes commercial readiness, offering clean rights ownership so enterprises can deploy AI confidently without licensing barriers. The platform is trusted by organizations ranging from early-stage startups to major Fortune 500 enterprises. With backing from leading investors and a growing global community, DataHive is positioned as a reliable source of high-quality training data. Its mission is to supply the datasets needed to fuel next-generation machine learning systems.

Bazze is a cutting-edge platform that leverages artificial intelligence to provide intelligence targeting and early warnings by converting extensive unclassified commercial data into actionable insights as needed. Its Commercial Data Infrastructure (CDI) marketplace offers both real-time and historical datasets, which include information such as device locations, satellite imagery, and open-source intelligence, all accessible through a “query in place” API model that removes the necessity for bulk buying. Users have the ability to explore and integrate data from a growing variety of sources, utilize sophisticated filtering techniques and unique intent scoring, and present their findings through customizable dashboards or export them for further analysis. Among its specialized features are tools for reverse DNS mapping, the detection of geospatial events, tracking of trends, scoring of threats, and conducting similarity searches to uncover related entities. Continuous updates ensure that the information remains current, and the delivery is based on consumption to enhance resource management. Additionally, Bazze’s innovative approach makes it a valuable asset for organizations seeking to enhance their intelligence capabilities.

GCX, or Global Copyright Exchange, serves as a licensing platform for datasets tailored for AI-enhanced music creation, providing ethically sourced and copyright-cleared high-quality datasets that are perfect for various applications, including music generation, source separation, music recommendation, and music information retrieval (MIR). Established by Rightsify in 2023, the service boasts an impressive collection of over 4.4 million hours of audio alongside 32 billion pairs of metadata and text, amassing more than 3 petabytes of data that includes MIDI files, stems, and WAV formats with extensive metadata descriptions such as key, tempo, instrumentation, and chord progressions. Users have the flexibility to license datasets in their original form or customize them according to genre, culture, instruments, and additional specifications, all while benefiting from full commercial indemnification. By facilitating the connection between creators, rights holders, and AI developers, GCX simplifies the licensing process and guarantees adherence to legal standards. Additionally, it permits perpetual usage and unlimited editing, earning recognition for its quality from Datarade. The platform finds applications in generative AI, academic research, and multimedia production, further enhancing the potential of music technology and innovation in the industry.

The erwin Data Marketplace, a component of erwin Data Intelligence by Quest, offers a user-friendly hub for all data consumers, irrespective of their technical background, to explore, choose, and access curated, high-quality data products, datasets, and AI solutions. This self-service model not only streamlines the process of data discovery but also improves data literacy, guarantees governance, and amplifies the overall business value derived from data. Notable functionalities include dynamic filtering options, automated assessments of data value, social feedback through ratings and reviews, and connections to supplementary data insights like mind maps and lineage tracking. Users are able to make side-by-side comparisons of different assets to find the most suitable option for their specific requirements. Data stewards and owners gain advantages through enhanced curation and governance features, which allow them to define data products, manage relationships, classify information, assign searchable tags, and supervise governance responsibilities. Furthermore, integrated workflows simplify the processes of data access requests, approvals, and documentation, all of which are essential for maintaining compliance. As a result, this platform not only fosters a collaborative environment for data sharing but also empowers organizations to fully leverage their data assets for informed decision-making.

We enable 8 billion individuals globally to genuinely own and exchange their data. Itheum stands as the first decentralized, cross-chain platform for data brokerage in the world. Develop web2 applications that produce structured, high-value personal insights and data. Effortlessly transition valuable data into web3 with our comprehensive suite of blockchain-driven tools. Seize control of your data and trade it through our groundbreaking peer-to-peer technology. Explore and obtain valuable data and insights through both primary and secondary data markets. Create highly adaptable applications powered by personal data with our versatile data collection and analytics toolkit, enhanced by our innovative smart data types technology. This marketplace is free and open, facilitating a secure environment for trading precious personal datasets across chains. Engage in trading numerous (potentially limitless) copies of your data directly with individuals from around the globe, fostering a new era of data ownership and exchange. With Itheum, the future of data trading is not only possible but accessible to everyone.

Neudata offers a thorough and independent platform that caters to alternative and market data intelligence on a global scale, effectively connecting data buyers with sellers while facilitating the entire data life cycle from sourcing to monetization. Buyers benefit from the ability to assess various data vendors, compare over 7,000 datasets based on more than 100 distinct metadata attributes, track vendor performance, receive regular intelligence reports and news updates, and understand aspects like dataset pricing, demand, and compliance risk, all of which empower them to make well-informed decisions. For sellers, Neudata allows them to list their datasets at no cost, providing them with exposure to a network of over 1,000 qualified buyers, as well as personalized lead introductions through the tailored matchmaking service known as the “AltDating” 1-to-1 program. Additionally, sellers have access to expert consultancy services that assist in evaluating monetization potential, designing effective packaging, and navigating complex regulatory or licensing challenges, ultimately enhancing their market presence and success. In this way, Neudata serves as a vital resource for both buyers and sellers in the evolving landscape of data intelligence.

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.

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.

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.

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.

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.

Enhance the value of your Point Cloud, BIM models, and various 3D datasets by centralizing your projects within a user-friendly digital platform. JPIV serves as a central hub for managing, visualizing, sharing, analyzing, and extracting insights from your 3D datasets, which include point clouds, 3D meshes, BIM models, and 360 images, alongside project and asset details. Its cloud-based functionalities empower teams to swiftly transform extensive 3D datasets into practical insights while fostering better collaboration among team members. You can visualize, manage, and share your project seamlessly with stakeholders all within a single platform. The collaborative tools, such as the annotation feature, enhance communication among involved parties, ensuring clarity and efficiency. Visual inspections can be conducted from anywhere at any time, provided you have internet access and a web browser. Additionally, the ability to overlay and visualize new components alongside BIM models, Point Cloud, and 360 images facilitates a comprehensive understanding of project developments. By consolidating all pertinent project information and 3D data in one location, JPIV establishes a reliable single source of truth, which is crucial for informed decision-making and effective project management. Ultimately, this integrated approach not only streamlines workflows but also significantly boosts productivity across teams.

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.

Pointly is an innovative cloud-based platform that harnesses AI technology to classify and manage 3D point clouds, transforming extensive raw datasets into organized and actionable insights through both automated and manual processes. By providing user-friendly tools and options for pre-trained or custom AI models, it enables effective classification, segmentation, and vectorization of 3D data. The platform features a centralized web-based system for storing, organizing, and annotating point clouds, along with scalable parallel processing capabilities that enhance performance for large datasets. Additionally, it offers a combination of manual annotation tools and automated classifiers to streamline data preparation while improving accuracy. Users benefit from API integration, the ability to export classified point clouds in standard formats such as LAS/LAZ, and collaborative features that facilitate teamwork on projects. Furthermore, Pointly supports custom AI model training tailored to specific applications, ensuring versatility in its use. With the added advantages of secure cloud processing with encrypted storage and flexible deployment options, users can rely on Pointly for efficient and reliable 3D data management.

Expand your reach to potential data buyers by utilizing seamless, one-click integrations for your complete data catalog on a single platform, enabling you to scale your data business effortlessly. Highlight your data offerings and connect with buyers through various channels, ensuring a consistent product catalog complete with automated data samples and dictionaries. You can publish your catalog directly on your website, making it easy to attract and engage prospective customers. With just a simple click, sync your data products to multiple marketplaces and catalogs, streamlining your distribution process. Enhance your data sales pipeline by centralizing all incoming inquiries in a unified inbox, allowing for better management and response. Share previews of your data samples across different marketplaces and monitor who is engaging with your offerings. Gain insights into the performance of your data products across various channels, focusing on visibility and conversion rates. Our subscription plans cater to data providers at every stage, from startups to those preparing for IPOs. There is a growing audience of data buyers eager to discover your offerings, and we simplify the process of enhancing your visibility in the marketplace. By leveraging our platform, you can maximize your reach and drive sales effectively.

Effortless, Fast, and Scalable Web Scraping Solutions. Extract data from any website in just minutes without needing to code by utilizing our pre-built extractors or our intuitive visual tool that operates on a point-and-click basis. Acquire your data in just three straightforward steps: IDENTIFY. Input the URL and use our feature to select the elements such as text and images you wish to extract with a simple click. CREATE. Design and set up your extractor to retrieve the information in your desired format and timing. EXPORT. Receive your structured data in formats like JSON, CSV, or XML. How can WebAutomation enhance your business operations? Regardless of your industry or sector, web scraping is a powerful tool that can provide insights into your audience, help in lead generation, and improve your competitive edge in pricing. For Online Finance & Investment Research, our scrapers can refine your financial models and facilitate data tracking to boost performance. Moreover, for E-Commerce & Retail, our scrapers enable you to keep an eye on competitors, set pricing benchmarks, analyze customer reviews, and gather vital market intelligence to stay ahead. By leveraging these tools, businesses can make informed decisions and adapt more rapidly to market changes.

Teams utilize LLMCurator to label data, engage with LLMs, and distribute their findings. Adjust the model's outputs when necessary to enhance data quality. By providing prompts, you can annotate your text dataset and subsequently export and refine the responses for further use. Additionally, this process allows for continuous improvement of both the dataset and the model's performance.

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.