Alternatives to TagX
Compare TagX alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to TagX in 2026. Compare features, ratings, user reviews, pricing, and more from TagX competitors and alternatives in order to make an informed decision for your business.
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Bright Data
Bright Data
Bright Data is the world's #1 web data, proxies, & data scraping solutions platform. Fortune 500 companies, academic institutions and small businesses all rely on Bright Data's products, network and solutions to retrieve crucial public web data in the most efficient, reliable and flexible manner, so they can research, monitor, analyze data and make better informed decisions. Bright Data is used worldwide by 20,000+ customers in nearly every industry. Its products range from no-code data solutions utilized by business owners, to a robust proxy and scraping infrastructure used by developers and IT professionals. Bright Data products stand out because they provide a cost-effective way to perform fast and stable public web data collection at scale, effortless conversion of unstructured data into structured data and superior customer experience, while being fully transparent and compliant. -
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Oxylabs
Oxylabs
Oxylabs is a market leader in web intelligence with enterprise-grade, ethical, and compliant solutions. Its proxy infrastructure spans one of the largest global networks, offering residential, ISP, mobile, datacenter, & dedicated datacenter proxies, along with Web Unblocker – an AI-driven tool that ensures block-free access to even the most protected sites. On the scraping tools side, the Oxylabs Web Scraper API manages every stage of large-scale data extraction. For dynamic, bot-protected websites, the Headless Browser ensures uninterrupted access. Oxylabs also offers AI Studio, which lets users extract data without writing code. The ready-made datasets provide structured data across industries such as e-commerce, real estate, and more – for data projects without custom scraping. In short, Oxylabs offers 177M+ IPs in 195 countries & is trusted by 4000+ clients worldwide, including Fortune 500 companies. Plus, the 24/7 customer service ensures clients get support when needed. -
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OORT DataHub
OORT DataHub
Data Collection and Labeling for AI Innovation. Transform your AI development with our decentralized platform that connects you to worldwide data contributors. We combine global crowdsourcing with blockchain verification to deliver diverse, traceable datasets. Global Network: Ensure AI models are trained on data that reflects diverse perspectives, reducing bias, and enhancing inclusivity. Distributed and Transparent: Every piece of data is timestamped for provenance stored securely stored in the OORT cloud , and verified for integrity, creating a trustless ecosystem. Ethical and Responsible AI Development: Ensure contributors retain autonomy with data ownership while making their data available for AI innovation in a transparent, fair, and secure environment Quality Assured: Human verification ensures data meets rigorous standards Access diverse data at scale. Verify data integrity. Get human-validated datasets for AI. Reduce costs while maintaining quality. Scale globally. -
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Ango Hub
iMerit
Ango Hub is a quality-focused, enterprise-ready data annotation platform for AI teams, available on cloud and on-premise. It supports computer vision, medical imaging, NLP, audio, video, and 3D point cloud annotation, powering use cases from autonomous driving and robotics to healthcare AI. Built for AI fine-tuning, RLHF, LLM evaluation, and human-in-the-loop workflows, Ango Hub boosts throughput with automation, model-assisted pre-labeling, and customizable QA while maintaining accuracy. Features include centralized instructions, review pipelines, issue tracking, and consensus across up to 30 annotators. With nearly twenty labeling tools—such as rotated bounding boxes, label relations, nested conditional questions, and table-based labeling—it supports both simple and complex projects. It also enables annotation pipelines for chain-of-thought reasoning and next-gen LLM training and enterprise-grade security with HIPAA compliance, SOC 2 certification, and role-based access controls. -
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APISCRAPY
AIMLEAP
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 | Canada | India| AustraliaStarting Price: $25 per website -
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Decodo
Decodo
Decodo (formerly Smartproxy) offers advanced proxy infrastructure and web scraping solutions to streamline web data collection for businesses and developers. With over 125 million ethically sourced IP addresses (residential, mobile, datacenter, and static residential proxies), Decodo helps users efficiently bypass geo-restrictions, CAPTCHAs, and other web access barriers. Decodo's intuitive APIs enable effortless, structured data scraping from websites, eCommerce platforms, search engines, and social media, supporting outputs in HTML, JSON, and CSV formats. The platform includes the Universal Scraper for easy real-time data extraction and an upcoming AI-powered Parser to minimize tedious manual data processing. Ideal for price aggregation, SEO monitoring, ad verification, multi-account management, AI training, and private browsing. Decodo also offers comprehensive documentation, responsive support, and transparent policies, including a 3-day trial and clear refund guidelines.Starting Price: $.08 per 1K requests -
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DataHive AI
DataHive AI
DataHive provides high-quality, fully rights-owned datasets across text, image, video, and audio to power modern AI development. The platform sources, creates, and labels data through a global contributor network, ensuring accuracy, diversity, and commercial readiness. DataHive offers specialized datasets including e-commerce listings, customer reviews, multilingual speech, transcribed audio, global video collections, and original photo libraries. Each dataset is enriched with metadata such as pricing, sentiment, tags, engagement metrics, and contextual information. These resources support a wide range of use cases, from computer vision and ASR training to retail analytics, sentiment modeling, and entertainment AI research. Trusted by startups and Fortune 500 companies, DataHive is built to accelerate high-performance machine learning with reliable, scalable data. -
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Twine AI
Twine.net
Twine AI offers tailored speech, image, and video data collection and annotation services, including off‑the‑shelf and custom datasets, for training and fine‑tuning AI/ML models. It offers audio (voice recordings, transcription across 163+ languages and dialects), image and video (biometrics, object/scene detection, drone/satellite feeds), text, and synthetic data. Leveraging a vetted global crowd of 400,000–500,000 contributors, Twine ensures ethical, consent‑based collection and bias reduction with ISO 27001-level security and GDPR compliance. Projects are managed end‑to‑end through technical scoping, proofs of concept, and full delivery supported by dedicated project managers, version control, QA workflows, and secure payments across 190+ countries. Its service includes humans‑in‑the‑loop annotation, RLHF techniques, dataset versioning, audit trails, and full dataset management, enabling scalable, context‑rich training data for advanced computer vision. -
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Dataocean AI
Dataocean AI
DataOcean AI is a leading provider of high-quality, labeled training data and comprehensive AI data solutions, offering over 1,600 off‑the‑shelf datasets and thousands of customized datasets for machine learning and AI applications. Dataocean's offerings cover diverse modalities (speech, text, image, audio, video, multimodal) and support tasks such as ASR, TTS, NLP, OCR, computer vision, content moderation, machine translation, lexicon development, autonomous driving, and LLM fine‑tuning. It combines AI-driven techniques with human-in-the-loop (HITL) processes via their DOTS platform, which includes over 200 data-processing algorithms and hundreds of labeling tools for automation, assisted labeling, collection, cleaning, annotation, training, and model evaluation. With almost 20 years of experience and presence in more than 70 countries, DataOcean AI ensures strong quality, security, and compliance, serving over 1,000 enterprises and academic institutions globally. -
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Synetic
Synetic
Synetic AI is a platform that accelerates the creation and deployment of real-world computer vision models by automatically generating photorealistic synthetic training datasets with pixel-perfect annotations and no manual labeling required, using advanced physics-based rendering and simulation to eliminate the traditional gap between synthetic and real-world data and achieve superior model performance. Its synthetic data has been independently validated to outperform real-world datasets by an average of 34% in generalization and recall, covering unlimited variations like lighting, weather, camera angles, and edge cases with comprehensive metadata, annotations, and multi-modal sensor support, enabling teams to iterate instantly and train models faster and cheaper than traditional approaches; Synetic AI supports common architectures and export formats, handles edge deployment and monitoring, and can deliver full datasets in about a week and custom trained models in a few weeks. -
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Keymakr
Keymakr
Keymakr provides image and video data annotation, along with data creation, collection, and validation services for AI and machine learning computer vision projects of any scale. The company’s core expertise lies in delivering high-quality training data for multimodal and embodied AI systems, and supporting human-verified annotation and LLM ground-truth validation of model outputs. Keymakr's motto, "Human teaching for machine learning," reflects its commitment to the human-in-the-loop approach. This is why 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. To create precise datasets, Keymakr developed Keylabs.ai, a powerful enterprise-grade annotation platform that supports all annotation types. Keymakr also follows strict data security and compliance standards, holds ISO 9001 and ISO 27001 certifications, and maintains GDPR and HIPAA compliance.Starting Price: $7/hour -
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Bitext
Bitext
Bitext provides multilingual, hybrid synthetic training datasets specifically designed for intent detection and LLM fine‑tuning. These datasets blend large-scale synthetic text generation with expert curation and linguistic annotation, covering lexical, syntactic, semantic, register, and stylistic variation, to enhance conversational models’ understanding, accuracy, and domain adaptation. For example, their open source customer‑support dataset features ~27,000 question–answer pairs (≈3.57 million tokens), 27 intents across 10 categories, 30 entity types, and 12 language‑generation tags, all anonymized to comply with privacy, bias, and anti‑hallucination standards. Bitext also offers vertical-specific datasets (e.g., travel, banking) and supports over 20 industries in multiple languages with more than 95% accuracy. Their hybrid approach ensures scalable, multilingual training data, privacy-compliant, bias-mitigated, and ready for seamless LLM improvement and deployment.Starting Price: Free -
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Appen
Appen
The Appen platform combines human intelligence from over one million people all over the world with cutting-edge models to create the highest-quality training data for your ML projects. Upload your data to our platform and we provide the annotations, judgments, and labels you need to create accurate ground truth for your models. High-quality data annotation is key for training any AI/ML model successfully. After all, this is how your model learns what judgments it should be making. Our platform combines human intelligence at scale with cutting-edge models to annotate all sorts of raw data, from text, to video, to images, to audio, to create the accurate ground truth needed for your models. Create and launch data annotation jobs easily through our plug and play graphical user interface, or programmatically through our API. -
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DataGen
DataGen
DataGen is a leading AI platform specializing in synthetic data generation and custom generative AI models for machine learning projects. Their flagship product, SynthEngyne, supports multi-format data generation including text, images, tabular, and time-series data, ensuring privacy-compliant, high-quality training datasets. The platform offers scalable, real-time processing and advanced quality controls like deduplication to maintain dataset fidelity. DataGen also provides professional AI development services such as model deployment, fine-tuning, synthetic data consulting, and intelligent automation systems. With flexible pricing plans ranging from free tiers for individuals to custom enterprise solutions, DataGen caters to a wide range of users. Their solutions serve diverse industries including healthcare, finance, automotive, and retail. -
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Gramosynth
Rightsify
Gramosynth is a powerful AI-driven platform for generating high-quality synthetic music datasets tailored for training next-gen AI models. Leveraging Rightsify’s vast corpus, the system operates on a perpetual data flywheel that continuously ingests freshly released music to generate realistic, copyright-safe audio at professional 48 kHz stereo quality. Datasets include rich, ground-truth metadata such as instrument, genre, tempo, key, and more, structured specifically for advanced model training. It accelerates data collection timelines by up to 99.9%, eliminates licensing bottlenecks, and supports virtually limitless scaling. Integration is seamless via a simple API that allows users to define parameters like genre, mood, instruments, duration, and stems, producing fully annotated datasets with unprocessed stems, FLAC audio, alongside outputs in JSON or CSV formats. -
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Luel
Luel AI
Luel is a two-sided AI training data marketplace that connects enterprises and AI teams with a global network of contributors to source, license, and generate high-quality multimodal datasets for machine learning models. It provides curated, rights-cleared datasets that are verified, structured, and ready for training, including video, audio, and image data tailored for use cases such as speech recognition, computer vision, and multimodal AI systems. It enables companies to either browse a catalog of existing datasets or request custom data collection campaigns by specifying detailed requirements such as format, labels, quality standards, and scenarios, which are then fulfilled through a vetted contributor network. Submissions undergo multi-stage validation and quality checks to ensure compliance, accuracy, and usability, delivering enterprise-ready datasets with full licensing and documentation. -
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Shaip
Shaip
Shaip offers end-to-end generative AI services, specializing in high-quality data collection and annotation across multiple data types including text, audio, images, and video. The platform sources and curates diverse datasets from over 60 countries, supporting AI and machine learning projects globally. Shaip provides precise data labeling services with domain experts ensuring accuracy in tasks like image segmentation and object detection. It also focuses on healthcare data, delivering vast repositories of physician audio, electronic health records, and medical images for AI training. With multilingual audio datasets covering 60+ languages and dialects, Shaip enhances conversational AI development. The company ensures data privacy through de-identification services, protecting sensitive information while maintaining data utility. -
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Pixta AI
Pixta AI
Pixta AI is a cutting‑edge, fully managed data‑annotation and dataset marketplace designed to connect data providers with companies and researchers needing high‑quality training data for AI, ML, and computer vision projects. It offers extensive coverage across modalities, visual, audio, OCR, and conversation, and provides tailored datasets in categories like face recognition, vehicle detection, human emotion, landscape, healthcare, and more. Leveraging a massive 100 million+ compliant visual data library from Pixta Stock and a team of experienced annotators, Pixta AI delivers scalable, ground‑truth annotation services (bounding boxes, landmarks, segmentation, attribute classification, OCR, etc.) that are 3–4× faster thanks to semi‑automated tools. It's a secure, compliant marketplace that facilitates on‑demand sourcing, ordering of custom datasets, and global delivery via S3, email, or API in formats like JSON, XML, CSV, and TXT, covering over 249 countries. -
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DataSeeds.AI
DataSeeds.AI
DataSeeds.ai provides large‑scale, ethically sourced, high‑quality image (and video) datasets tailored for AI training, combining both off‑the‑shelf collections and on‑demand custom builds. Their ready‑to‑use photo sets include millions of images fully annotated with EXIF metadata, content labels, bounding boxes, expert aesthetic scores, scene context, pixel‑level masks, and more. It supports object and scene detection tasks, global coverage, and human‑peer‑ranking for label accuracy. Custom datasets can be launched rapidly via a global contributor network in 160+ countries, collecting images that align with specific technical or thematic requirements. Accompanying annotations include descriptive titles, detailed scene context, camera settings (type, model, lens, exposure, ISO), environmental attributes, and optional geo/contextual tags. -
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Datarade
Datarade
Skip months of research. Find, compare, and choose the right data for your business. Get free & unbiased advice by data experts. Get in-depth information about 2,000+ data providers curated across 210 data categories. Our experts advise and guide you through the whole sourcing process - free of charge. Find the right data that really fits with your goals, use cases, and key requirements. Briefly describe your goals, use cases, and data requirements. Receive a shortlist of suitable data providers by our experts. Compare data offerings and choose when you’re ready. We help you to identify the data providers that are really relevant to you, so you don’t waste time in unnecessary sales pitch calls. We connect you with the right point of contact, so you get a quick response. And last but not least, our platform and experts help you to keep track of your data sourcing process, so you get the best deal. -
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AfterQuery
AfterQuery
AfterQuery is an applied research platform designed to create high-quality training data for frontier artificial intelligence models by capturing how real experts think, reason, and solve problems in professional contexts. It focuses on transforming real-world work into structured datasets that go beyond simple outputs, encoding decision-making processes, tradeoffs, and contextual reasoning that traditional internet-sourced data cannot provide. It works directly with domain experts to generate supervised fine-tuning data, including prompt–response pairs and detailed reasoning traces, as well as reinforcement learning datasets with expert-designed prompts and grading frameworks that convert subjective judgment into scalable reward signals. It also builds custom agent environments across APIs and tools, enabling models to be trained and evaluated in realistic workflows, and captures computer-use trajectories that demonstrate how humans interact with software step by step. -
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Kled
Kled AI
Kled is a secure, crypto-powered AI data marketplace that connects content rights holders with AI developers by providing high‑quality, ethically sourced datasets, spanning video, audio, music, text, transcripts, and behavioral data, for training generative AI models. It handles end-to-end licensing: it curates, labels, and rates datasets for accuracy and bias, manages contracts and payments securely, and offers custom dataset creation and discovery via a marketplace. Rights holders can upload original content, choose licensing terms, and earn KLED tokens, while developers gain access to premium data for responsible AI model training. Kled also supplies monitoring and recognition tools to ensure authorized usage and to detect misuse. Built for transparency and compliance, the system bridges IP owners and AI builders through a powerful yet user-friendly interface. -
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WebAutomation
WebAutomation
Fast, Easy & Scalable Web Scraping. Scrape any website in minutes without coding using our ready made extractors or web based visual point and click tool. Get your Data in 3 easy steps. IDENTIFY. Enter URL, and Identify elements like text & images you would like to extract with our point and click feature. CREATE. Build and configure your extractor to get the data when and how you want it. EXPORT. Get structured data in your chosen format e.g JSON, CSV, XML. How can WebAutomation help your business? No matter your business type or sector, web scraping can help you understand your audience, generate leads or be more competitive with pricing. Online Finance & Investment Research Scrapers Finance & Investment Research. Enhance your financial models and track data to improve performance. Scrape and Aggregate data from… ONLINE. E-Commerce & Retail SCRAPER E-Commerce & Retail Monitor competitors, benchmark pricing, analyze customer reviews and gain competitor& market intelligence.Starting Price: $19 per month -
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Scale Data Engine
Scale AI
Scale Data Engine helps ML teams build better datasets. Bring together your data, ground truth, and model predictions to effortlessly fix model failures and data quality issues. Optimize your labeling spend by identifying class imbalance, errors, and edge cases in your data with Scale Data Engine. Significantly improve model performance by uncovering and fixing model failures. Find and label high-value data by curating unlabeled data with active learning and edge case mining. Curate the best datasets by collaborating with ML engineers, labelers, and data ops on the same platform. Easily visualize and explore your data to quickly find edge cases that need labeling. Check how well your models are performing and always ship the best one. Easily view your data, metadata, and aggregate statistics with rich overlays, using our powerful UI. Scale Data Engine supports visualization of images, videos, and lidar scenes, overlaid with all associated labels, predictions, and metadata. -
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BasicAI
BasicAI
BasicAI is a smart data annotation platform and managed labeling service provider that helps organizations create high-quality training data for artificial intelligence and machine learning models. The platform offers annotation services for 3D LiDAR, image data, audio and video tagging, NLP datasets, and RLHF and SFT dataset creation to support a wide range of AI applications. BasicAI combines AI-powered annotation tools, enterprise project management features, and specialized global annotation teams to deliver precise and scalable data labeling workflows. The company provides both managed labeling services and private deployment annotation platforms designed for organizations that require greater control over data security and processing environments. BasicAI supports industries such as automotive, robotics, logistics, manufacturing, agriculture, construction, smart cities, and healthcare with customized annotation solutions. -
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Nexdata
Nexdata
Nexdata's AI Data Annotation Platform is a robust solution designed to meet diverse data annotation needs, supporting various types such as 3D point cloud fusion, pixel-level segmentation, speech recognition, speech synthesis, entity relationship, and video segmentation. The platform features a built-in pre-recognition engine that facilitates human-machine interaction and semi-automatic labeling, enhancing labeling efficiency by over 30%. To ensure high-quality data output, it incorporates multi-level quality inspection management functions and supports flexible task distribution workflows, including package-based and item-based assignments. Data security is prioritized through multi-role, multi-level authority management, template watermarking, log auditing, login verification, and API authorization management. The platform offers flexible deployment options, including public cloud deployment for rapid, independent system setup with exclusive computing resources. -
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Innovatiana
Innovatiana
Innovatiana is a data labeling and AI dataset preparation platform designed to transform raw data into high-quality, structured training datasets for machine learning and generative AI systems. It provides an end-to-end solution for collecting, annotating, structuring, and enriching data within a unified environment, enabling organizations to centralize all data preparation needs for AI projects in one place. It supports a wide range of data types, including images, videos, text, audio, and multimodal data, and delivers annotated datasets in multiple formats ready for use in machine learning, deep learning, and large language model training. Its approach combines human expertise with structured methodologies and automated or semi-automated quality controls to ensure accuracy, consistency, and reliability across large-scale datasets. -
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Cogito
Cogito Tech LLC
Cogito Tech is a leading AI data solutions provider specializing in data labeling and annotation services. We deliver high-quality data for applications across computer vision, natural language processing (NLP), and content services. Our expertise extends to fine-tuning large language models (LLMs) through techniques like Reinforcement Learning from Human Feedback (RLHF), enabling rapid deployment and customization to meet business objectives. The company is headquartered in the United States and was featured in The Financial Times’ FT ranking: The Americas’ Fastest-Growing Companies 2025 and Everest Group’s report Data Annotation and Labeling (DAL) Solutions for AI/ML PEAK Matrix® Assessment 2024 Services offered by Cogito: • Image Annotation Service • AI-assisted Data Labeling Service • Medical Image Annotation • NLP & Audio Annotation Service • ADAS Annotation Services • Healthcare Training Data for AI • Audio & Video Transcription ServicesStarting Price: $25/Hour -
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Anolytics
Anolytics
Anolytics provides data annotation service for image, videos & text for machine learning and AI-based computer vision. Anolytics offers a low-cost annotation service for machine learning and artificial intelligence model developments. It is providing the precisely annotated data in the form of text, images and videos using the various annotation techniques while ensuring the accuracy and quality. It is specialized in Image Annotation, Video Annotation and Text Annotation with best accuracy. Anolytics is providing all leading types of data annotation service used as a data training in machine learning and deep learning. It offers Bounding Boxes, Semantic Segmentation, 3D Point Cloud Annotation and 3D Cuboid Annotation for fields like healthcare, autonomous driving or drone falying, retail, security surveillance and agriculture. Anolytics works with scalable solution, available at turnaround time and cost-effective pricing for clients across the globe. -
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Bazze
Bazze
Bazze is an AI-powered intelligence targeting and early-warning platform that transforms vast unclassified commercial data into mission-relevant insights on demand. Its Commercial Data Infrastructure (CDI) marketplace delivers real-time and historical datasets, ranging from device locations and satellite imagery to open source intelligence, via a “query in place” API model, eliminating the need for bulk purchases. Users can discover and integrate data from an expanding array of sources, apply advanced filtering and proprietary intent scores, and visualize results through custom dashboards or export them for downstream analysis. Specialized tools include reverse DNS mapping, geospatial event detection, trend tracking, threat scoring, and similarity searches to identify related entities. Everything is updated continuously and delivered on a consumption basis to optimize resource allocation. -
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GCX
Rightsify
GCX (Global Copyright Exchange) is a dataset licensing service for AI‑driven music, offering ethically sourced and copyright‑cleared premium datasets ideal for tasks like music generation, source separation, music recommendation, and MIR. Launched by Rightsify in 2023, it provides over 4.4 million hours of audio and 32 billion metadata-text pairs, totaling more than 3 petabytes, comprising MIDI, stems, and WAV files with rich descriptive metadata (key, tempo, instrumentation, chord progressions, etc.). Datasets can be licensed “as is” or customized by genre, culture, instruments, and more, with full commercial indemnification. GCX bridges creators, rights holders, and AI developers by streamlining licensing and ensuring legal compliance. It supports perpetual use, unlimited editing, and is recognized for excellence by Datarade. Use cases include generative AI, research, and multimedia production. -
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HumanSignal
HumanSignal
HumanSignal's Label Studio Enterprise is a comprehensive platform designed for creating high-quality labeled data and evaluating model outputs with human supervision. It supports labeling and evaluating multi-modal data, image, video, audio, text, and time series, all in one place. It offers customizable labeling interfaces with pre-built templates and powerful plugins, allowing users to tailor the UI and workflows to specific use cases. Label Studio Enterprise integrates seamlessly with popular cloud storage providers and ML/AI models, facilitating pre-annotation, AI-assisted labeling, and prediction generation for model evaluation. The Prompts feature enables users to leverage LLMs to swiftly generate accurate predictions, enabling instant labeling of thousands of tasks. It supports various labeling use cases, including text classification, named entity recognition, sentiment analysis, summarization, and image captioning.Starting Price: $99 per month -
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Ximilar
Ximilar
Ximilar is the first MLaaS platform for training and fine-tuning vision-language models without coding, enabling multimodal AI without in-house research teams. Build and train custom models on your own image and text data, then deploy via a single API click. Chain multiple models into automated workflows using Flows. Key capabilities: — Vision-language model fine-tuning on custom datasets — Image classification, annotation, and object detection — Visual search handling thousands of queries per second — Text-to-image search using natural language queries — Automated tagging and product description generation — OCR and text extraction from images — Fashion AI for apparel tagging and visual search — Defect detection for manufacturing and quality control — Classification, grading, and pricing of collectible items Built on Intel Xeon® with TensorFlow and OpenVINO. Deploy via API or offline. GDPR-compliant, EU servers. 15B+ images processed. Clients in 40+ countries.Starting Price: $0 -
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Ficstar
Ficstar Software Inc.
Ficstar is a fully managed web scraping and enterprise data extraction company headquartered in Toronto, Canada. Founded in 2005, Ficstar provides end-to-end data collection solutions that handle every aspect of the scraping pipeline — infrastructure, proxy management, data parsing, structuring, and delivery — so enterprise clients receive clean, accurate, real-time data without building or maintaining any in-house scraping systems. Serving 200+ major companies across industries including e-commerce, finance, retail, and market research, Ficstar specializes in large-scale, compliance-conscious web data extraction tailored to each client's specific requirements. Solutions are fully customized, scalable, and designed for seamless integration with existing business intelligence and data workflows. With over two decades of experience, Ficstar is a trusted partner for enterprises that depend on reliable, structured web data to power competitive intelligence, pricing analysis, lead generaStarting Price: $1,000 -
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Reka
Reka
Our enterprise-grade multimodal assistant carefully designed with privacy, security, and efficiency in mind. We train Yasa to read text, images, videos, and tabular data, with more modalities to come. Use it to generate ideas for creative tasks, get answers to basic questions, or derive insights from your internal data. Generate, train, compress, or deploy on-premise with a few simple commands. Use our proprietary algorithms to personalize our model to your data and use cases. We design proprietary algorithms involving retrieval, fine-tuning, self-supervised instruction tuning, and reinforcement learning to tune our model on your datasets. -
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Kaggle
Google
Kaggle is a global AI and machine learning platform that brings together developers, researchers, organizations, and data science enthusiasts to build, evaluate, and improve artificial intelligence technologies. The platform offers access to AI competitions, benchmarks, hackathons, datasets, notebooks, pre-trained models, and educational courses that help users develop real-world machine learning skills. Kaggle enables organizations and researchers to host competitions, crowdsource evaluations, publish benchmarks, and discover top AI talent through its large global community of over 31 million users. Users can access free GPU and TPU-powered notebook environments, collaborate on public datasets, explore pre-trained AI models, and participate in large-scale AI research initiatives. The platform also provides learning resources including hands-on courses, solution write-ups, and reproducible notebooks that support both beginners and advanced machine learning practitioners. -
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Innodata
Innodata
We Make Data for the World's Most Valuable Companies Innodata solves your toughest data engineering challenges using artificial intelligence and human expertise. Innodata provides the services and solutions you need to harness digital data at scale and drive digital disruption in your industry. We securely and efficiently collect & label your most complex and sensitive data, delivering near-100% accurate ground truth for AI and ML models. Our easy-to-use API ingests your unstructured data (such as contracts and medical records) and generates normalized, schema-compliant structured XML for your downstream applications and analytics. We ensure that your mission-critical databases are accurate and always up-to-date. -
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NVIDIA Cosmos
NVIDIA
NVIDIA Cosmos is a developer-first platform of state-of-the-art generative World Foundation Models (WFMs), advanced video tokenizers, guardrails, and an accelerated data processing and curation pipeline designed to supercharge physical AI development. It enables developers working on autonomous vehicles, robotics, and video analytics AI agents to generate photorealistic, physics-aware synthetic video data, trained on an immense dataset including 20 million hours of real-world and simulated video, to rapidly simulate future scenarios, train world models, and fine‑tune custom behaviors. It includes three core WFM types; Cosmos Predict, capable of generating up to 30 seconds of continuous video from multimodal inputs; Cosmos Transfer, which adapts simulations across environments and lighting for versatile domain augmentation; and Cosmos Reason, a vision-language model that applies structured reasoning to interpret spatial-temporal data for planning and decision-making.Starting Price: Free -
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Coresignal
Coresignal
Enhance your investment analysis or build data-driven products with Coresignal’s always fresh raw data of millions of professionals and companies from all over the world. Every month we update 291M high-value employee and firmographic records, so that you can always stay ahead of the competition. With up to 40 months' worth of data, our datasets can be used to test models and forecast trends, such as the growth of different industries and market sectors. Use Company data API to access, filter and query our main datasets directly or Real-Time API for on-demand retrieval of specific records straight from the public web. From investment companies to sourcing tools for recruiters, our business data is leveraged for a multitude of use cases. Regularly updated datasets are delivered in ready-to-use formats for your convenience. Boost your data-driven insights with parsed, ready-to-use data delivered in multiple formats. -
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Ming-Flash Omni 2.0
Ant Group
Ming-Flash Omni 2.0 is a full-modal large language model from Ant Group, built on a unified multimodal architecture with “modal unity + task unity” as its core design philosophy. As part of the Ming series, it is designed to achieve cross-modal understanding and generation across text, images, audio, and video, allowing one model to see, hear, speak, and draw instead of relying on multiple specialized models. Ming-Flash Omni 2.0 follows the evolution of Ming-Light Omni and Ming-Flash Omni Preview, moving from unified architecture validation and hundred-billion-parameter scaling to a Data Scaling strategy that achieves open-source SOTA performance on multiple benchmarks. The model integrates four core capability modules: image-text understanding, video analysis, speech synthesis, and image generation or editing. For image-text understanding, Ming introduces structured knowledge graphs for fine-grained visual perception. -
41
OpenWeb Ninja
OpenWeb Ninja
OpenWeb Ninja offers a comprehensive, real-time public data API stack that delivers fast, reliable web and SERP data via more than 30 specialized RESTful endpoints—accessible through RapidAPI with a free testing plan and no credit card required. Its portfolio includes APIs for local business data (Google Maps POI details, reviews and contact info), ecommerce (Amazon product searches, reviews, deals and seller metrics), job listings (aggregated from LinkedIn, Indeed, Glassdoor, ZipRecruiter and more), product search across major retailers, web search and Google SERP extraction, website contact scraping, financial market quotes, image search, news, events, Glassdoor employer insights, Zillow real-estate data, Waze traffic and hazard alerts, Google Play app rankings, Yelp business reviews, reverse image lookup and social-profile discovery, among others. Each API is optimized with unparalleled scraping technology for sub-two-second response times. -
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Defined.ai
Defined.ai
Defined.ai provides high-quality training data, tools, and models to AI professionals to power their AI projects. With resources in speech, NLP, translation, and computer vision, AI professionals can look to Defined.ai as a resource to get complex AI and machine learning projects to market quickly and efficiently. We host the leading AI marketplace, where data scientists, machine learning engineers, academics, and others can buy and sell off-the-shelf datasets, tools, and models. We also provide customizable workflows with tailor-made solutions to improve any AI project. Quality is at the core of everything we do, and we are in compliance with industry privacy standards and best practices. We also have a passion and mission to ensure that our data is ethically collected, transparently presented, and representative – since AI often reflects of our own human biases, it’s necessary to make efforts to prevent as much bias as possible, and our practices reflect that. -
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Mozilla Data Collective
Mozilla
Mozilla Data Collective is a platform built to rebuild the AI-data ecosystem by putting communities at its center. It gives data-creators and stewards the power to share datasets on their own terms, retaining ownership and controlling who accesses their data and under what conditions. Users can upload datasets, choose licenses (such as Creative Commons or bespoke terms), set access rules, require compensation or recognition, and govern datasets as individuals, cooperatives, or trusts. The platform emphasises ethical stewardship, transparency, and community agency, challenging extractive models of data harvesting and enabling more equitable participation. It hosts more than 300 high-quality global datasets created by and for communities, covers a wide range of use-cases (for example, multilingual speech-data collections), and makes developer-friendly tools available (such as a public API) so datasets can be integrated into applications. -
44
txtai
NeuML
txtai is an all-in-one open source embeddings database designed for semantic search, large language model orchestration, and language model workflows. It unifies vector indexes (both sparse and dense), graph networks, and relational databases, providing a robust foundation for vector search and serving as a powerful knowledge source for LLM applications. With txtai, users can build autonomous agents, implement retrieval augmented generation processes, and develop multi-modal workflows. Key features include vector search with SQL support, object storage integration, topic modeling, graph analysis, and multimodal indexing capabilities. It supports the creation of embeddings for various data types, including text, documents, audio, images, and video. Additionally, txtai offers pipelines powered by language models that handle tasks such as LLM prompting, question-answering, labeling, transcription, translation, and summarization.Starting Price: Free -
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Bloomberg Enterprise Data Catalog
Bloomberg
A meticulously curated suite of over 40,000 data fields, the Bloomberg Enterprise Catalog centralizes diverse enterprise datasets, including reference, regulatory, pricing, ESG, and alternative data, real-time market feeds, funds information, and investment research into a single, API-accessible source with customizable dashboards and integration connectors. Users can perform natural-language and field-level searches, subscribe to specific datasets, and visualize data lineage, usage metrics, and quality scores, while historical coverage spanning decades supports back-testing, trend analysis, regulatory reporting, and model validation. It delivers data via desktop, terminal, or RESTful API, integrates seamlessly with BI tools, cloud storage, and data lakes, and offers granular delivery options from tick-level pricing to aggregated statistics. Rigorous quality controls, standardized identifiers, and enterprise-grade SLAs ensure consistency, accuracy, and uptime. -
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VideoPoet
Google
VideoPoet is a simple modeling method that can convert any autoregressive language model or large language model (LLM) into a high-quality video generator. It contains a few simple components. An autoregressive language model learns across video, image, audio, and text modalities to autoregressively predict the next video or audio token in the sequence. A mixture of multimodal generative learning objectives are introduced into the LLM training framework, including text-to-video, text-to-image, image-to-video, video frame continuation, video inpainting and outpainting, video stylization, and video-to-audio. Furthermore, such tasks can be composed together for additional zero-shot capabilities. This simple recipe shows that language models can synthesize and edit videos with a high degree of temporal consistency. -
47
Hive Data
Hive
Create training datasets for computer vision models with our fully managed solution. We believe that data labeling is the most important factor in building effective deep learning models. We are committed to being the field's leading data labeling platform and helping companies take full advantage of AI's capabilities. Organize your media with discrete categories. Identify items of interest with one or many bounding boxes. Like bounding boxes, but with additional precision. Annotate objects with accurate width, depth, and height. Classify each pixel of an image. Mark individual points in an image. Annotate straight lines in an image. Measure, yaw, pitch, and roll of an item of interest. Annotate timestamps in video and audio content. Annotate freeform lines in an image.Starting Price: $25 per 1,000 annotations -
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Labellerr
Labellerr
Labellerr is a data annotation platform designed to expedite the preparation of high-quality labeled datasets for AI and machine learning models. It supports various data types, including images, videos, text, PDFs, and audio, catering to diverse annotation needs. The platform offers automated annotation features, such as model-assisted labeling and active learning, to accelerate the labeling process. Additionally, Labellerr provides advanced analytics and smart quality assurance tools to ensure the accuracy and reliability of annotations. For projects requiring specialized knowledge, Labellerr offers expert-in-the-loop services, including access to professionals in fields like healthcare and automotive. -
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Lightning Rod
Lightning Rod
Lightning Rod is an AI platform designed to transform messy, unstructured real-world data into verified, production-ready training datasets and domain-specific AI models without requiring manual labeling. It enables users to generate high-quality, citable question–answer pairs from sources such as news articles, financial filings, and internal documents, turning raw historical data into structured datasets that can be used for supervised fine-tuning or reinforcement learning. It operates through an agent-driven workflow where users describe their goal, and the system automatically gathers sources, generates questions, resolves outcomes based on real-world events, and adds contextual grounding before training a model. A key innovation is its “future-as-label” methodology, which uses actual outcomes as training signals, allowing AI systems to learn directly from real-world results at scale instead of relying on synthetic or manually annotated data. -
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HunyuanOCR
Tencent
Tencent Hunyuan is a large-scale, multimodal AI model family developed by Tencent that spans text, image, video, and 3D modalities, designed for general-purpose AI tasks like content generation, visual reasoning, and business automation. Its model lineup includes variants optimized for natural language understanding, multimodal vision-language comprehension (e.g., image & video understanding), text-to-image creation, video generation, and 3D content generation. Hunyuan models leverage a mixture-of-experts architecture and other innovations (like hybrid “mamba-transformer” designs) to deliver strong performance on reasoning, long-context understanding, cross-modal tasks, and efficient inference. For example, the vision-language model Hunyuan-Vision-1.5 supports “thinking-on-image”, enabling deep multimodal understanding and reasoning on images, video frames, diagrams, or spatial data.