Alternatives to Luel
Compare Luel alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Luel in 2026. Compare features, ratings, user reviews, pricing, and more from Luel competitors and alternatives in order to make an informed decision for your business.
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1
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. -
2
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. -
3
Kled
Kled
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. -
4
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. -
5
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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Twine AI
Twine AI
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. -
7
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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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. -
9
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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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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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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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. -
13
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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TagX
TagX
TagX delivers comprehensive data and AI solutions, offering services like AI model development, generative AI, and a full data lifecycle including collection, curation, web scraping, and annotation across modalities (image, video, text, audio, 3D/LiDAR), as well as synthetic data generation and intelligent document processing. TagX's division specializes in building, fine‑tuning, deploying, and managing multimodal models (GANs, VAEs, transformers) for image, video, audio, and language tasks. It supports robust APIs for real‑time financial and employment intelligence. With GDPR, HIPAA compliance, and ISO 27001 certification, TagX serves industries from agriculture and autonomous driving to finance, logistics, healthcare, and security, delivering privacy‑aware, scalable, customizable AI datasets and models. Its end‑to‑end approach, from annotation guidelines and foundational model selection to deployment and monitoring, helps enterprises automate documentation. -
15
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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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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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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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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Human Native
Human Native
We’re bringing together rights holders and AI developers. Helping rights holders get compensation for copyrighted works. Enabling AI developers to responsibly acquire high-quality data. A comprehensive catalog of rights holders and their works. We help AI developers find the high-quality data they need. Rights holders have granular control over which individual works are open or closed to AI training. Monitoring solutions for detecting the misuse of copyrighted material. Enabling revenue for rights holders by licensing work for training with recurring subscriptions or revenue share. We help publishers get their content or data ready for AI models. We index, benchmark, and evaluate data sets to demonstrate their quality and value. Upload your catalog to the marketplace for free. Be compensated fairly for work. Opt-in and out of generative AI usages. Receive alerts for potential copyright infringement. -
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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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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. -
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LLaVA
LLaVA
LLaVA (Large Language-and-Vision Assistant) is an innovative multimodal model that integrates a vision encoder with the Vicuna language model to facilitate comprehensive visual and language understanding. Through end-to-end training, LLaVA exhibits impressive chat capabilities, emulating the multimodal functionalities of models like GPT-4. Notably, LLaVA-1.5 has achieved state-of-the-art performance across 11 benchmarks, utilizing publicly available data and completing training in approximately one day on a single 8-A100 node, surpassing methods that rely on billion-scale datasets. The development of LLaVA involved the creation of a multimodal instruction-following dataset, generated using language-only GPT-4. This dataset comprises 158,000 unique language-image instruction-following samples, including conversations, detailed descriptions, and complex reasoning tasks. This data has been instrumental in training LLaVA to perform a wide array of visual and language tasks effectively.Starting Price: Free -
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Created by Humans
Created by Humans
Take control of your works' AI rights and get compensated for their use by AI companies. You're in control of if and how your work is used by AI partners. We negotiate the details of the license, and you track payments in your dashboard. Get compensated when your work is licensed. Easily opt-in (or out) of licensing options. You decide what you're comfortable licensing, and we do the rest. Access curated, unique content and build with the full permission of rights holders. We're on a mission to preserve human creativity and make it thrive in the AI era. We believe that to get the best out of technology, we must ensure we continue receiving the best human-created works. We celebrate and nurture the unique talents and expressions that make us human. We believe that bringing together divided groups can drive an outsized positive impact on the world. We prioritize building long-term, genuine connections over short-term gains. -
24
TollBit
TollBit
TollBit helps you monitor AI traffic, manage licensing deals & monetize your content in the AI era. See which user agents are accessing content that is disallowed. TollBit also maintains up to date lists of user agents and IP addresses we discover associated with AI apps across our network. Our easy to use UI makes it easy to drill down and conduct your own analyses. Enter in your own user agents and see the top pages accessed and how AI traffic evolves over time. TollBit supports historic log ingestion. This allows your team to analyze trends in AI traffic to your content in an easy UI without maintaining cloud infrastructure yourself. (Not available in free tier.) Tap into the growing AI market with ease. Our platform simplifies licensing, empowering you to monetize your content within the dynamic world of AI development. Set your terms upfront, and we'll connect you with AI innovators ready to pay for your work. -
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Azure Open Datasets
Microsoft
Improve the accuracy of your machine learning models with publicly available datasets. Save time on data discovery and preparation by using curated datasets that are ready to use in machine learning workflows and easy to access from Azure services. Account for real-world factors that can impact business outcomes. By incorporating features from curated datasets into your machine learning models, improve the accuracy of predictions and reduce data preparation time. Share datasets with a growing community of data scientists and developers. Deliver insights at hyperscale using Azure Open Datasets with Azure’s machine learning and data analytics solutions. There's no additional charge for using most Open Datasets. Pay only for Azure services consumed while using Open Datasets, such as virtual machine instances, storage, networking resources, and machine learning. Curated open data made easily accessible on Azure. -
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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. -
27
Powerdrill
Powerdrill.ai
Powerdrill is an AI SaaS service centered around personal and enterprise datasets. Designed to unlock the full potential of your data, Powerdrill enables you to use natural language to effortlessly interact with your datasets for tasks ranging from simple Q&As to insightful BI analysis. By breaking down barriers to knowledge acquisition and data analysis, Powerdrill boosts data processing efficiency exponentially. Key competitive capabilities offered by Powerdrill include precise user intention understanding, hybrid employment of large-scale high-performance Retrieval Augmented Generation (RAG) frameworks, comprehensive dataset comprehension through indexing, multi-modal support for multimedia input and output, and proficient code generation for data analysis.Starting Price: $3.9/month -
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ScalePost
ScalePost
ScalePost provides a secure platform for AI companies and publishers to connect, enabling data access, content monetization, and analytics-driven insights. For publishers, ScalePost turns content access into revenue, offering secure AI monetization and full control. Publishers can control who accesses their content, block unauthorized bots, and whitelist verified AI agents. The platform prioritizes data privacy and security, ensuring that content is protected. It offers personalized guidance and market analysis on AI content licensing revenue, along with detailed insights on how content is being used. Integration is seamless, allowing publishers to open up their content for monetization in just 15 minutes. For AI/LLM companies, ScalePost provides verified, high-quality content tailored to specific needs. Users can quickly connect with verified publishers, saving valuable time and resources. The platform allows granular control, enabling access to content specific to users' needs. -
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thinkdeeply
Think Deeply
Discover from a variety of assets to jump-start your AI project. The AI hub provides a rich collection of artifacts that your project may need - industry AI starter kits, datasets, notebooks, pre-trained models, deployment-ready solutions & pipelines. Get access to the best resources from external parties, or created by your organization. Prepare and manage your data for model training. Collect, organize, tag, or select features, and prepare datasets for training with simple drag and drop UI. Collaborate with multiple team members to tag large datasets. Implement a quality control process to ensure dataset quality. Build models with simple clicks using the model wizards. No data science knowledge required. The system selects the best models for the problem and optimizes their training parameters. Advanced users, however, can fine-tune the models and their hyper-parameters. One-click deployment to production inference enviornments. -
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Glitter
Glitter
Glitter Protocol is a blockchain-based data platform built to assist developers in storing, managing, and elevating the world’s data in a Web3-native way. It offers multi-language SDKs (including via SQL) and a role-based access control system for secure dataset writing and collaboration. The platform includes an indexing engine with both traditional database and full-text search capabilities, enabling efficient data discovery and retrieval. Glitter enables data sharing and monetization through token-economics; data contributors are incentivized to provide valuable datasets, and developers can access a marketplace-style “datamap” to locate data assets. It supports the migration of existing Web2 applications and data into the Web3 ecosystem, aiming to organize and decentralize unstructured data, make it more accessible and usable, and foster collaboration across the community. -
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DataChain
iterative.ai
DataChain connects unstructured data in cloud storage with AI models and APIs, enabling instant data insights by leveraging foundational models and API calls to quickly understand your unstructured files in storage. Its Pythonic stack accelerates development tenfold by switching to Python-based data wrangling without SQL data islands. DataChain ensures dataset versioning, guaranteeing traceability and full reproducibility for every dataset to streamline team collaboration and ensure data integrity. It allows you to analyze your data where it lives, keeping raw data in storage (S3, GCP, Azure, or local) while storing metadata in inefficient data warehouses. DataChain offers tools and integrations that are cloud-agnostic for both storage and computing. With DataChain, you can query your unstructured multi-modal data, apply intelligent AI filters to curate data for training and snapshot your unstructured data, the code for data selection, and any stored or computed metadata.Starting Price: Free -
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Bakery
Bakery
Easily fine-tune & monetize your AI models with one click. For AI startups, ML engineers, and researchers. Bakery is a platform that enables AI startups, machine learning engineers, and researchers to fine-tune and monetize AI models with ease. Users can create or upload datasets, adjust model settings, and publish their models on the marketplace. The platform supports various model types and provides access to community-driven datasets for project development. Bakery's fine-tuning process is streamlined, allowing users to build, test, and deploy models efficiently. The platform integrates with tools like Hugging Face and supports decentralized storage solutions, ensuring flexibility and scalability for diverse AI projects. The bakery empowers contributors to collaboratively build AI models without exposing model parameters or data to one another. It ensures proper attribution and fair revenue distribution to all contributors.Starting Price: Free -
33
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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Decide AI
Decide AI
DecideAI is a decentralized AI ecosystem built around three core components that offer a framework for privacy-preserving data sharing, annotation, model training, and continuous improvement using techniques like RLHF and DPO. Decide ID is a zero-knowledge proof-based identity system that verifies contributors’ authenticity and reputation while preserving privacy through techniques like 3D face scans and liveness checks. Decide Cortex provides access to specialized, high-quality LLMs and curated datasets generated through the protocol, enabling clients and developers to adopt or tailor models without starting from scratch. The platform is designed to support secure, verifiable contributions of proprietary or domain-specific data, incentivize long-term participation via its native DCD token, and reduce reliance on large centralized AI providers by enabling on-chain or hybrid model hosting. -
35
Data & Sons
Data & Sons
Data & Sons is the world’s first open dataset marketplace that democratizes the exchange of information by enabling users to buy, sell, share, and request datasets through a unified, web-based platform. Sellers list datasets on the data & sons market, where buyers can discover and purchase them in a single click. Transactions are processed instantly, with sellers receiving payment upon each sale and the ability to resell datasets indefinitely. It also supports custom data requests and fulfillment workflows, allowing users to submit, track, and fulfill bespoke dataset orders. An intuitive interface guides users through listing, discovery, and transaction processes, while comprehensive tutorials, FAQs, and support resources ensure seamless onboarding. By vetting all datasets for privacy compliance and quality, Data & Sons provides a secure environment for data monetization and sharing. -
36
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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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. -
38
Conseris
Kuvio Creative
With your Conseris account, you can create as many datasets as you like for the same low monthly price. Clone your datasets with one click, or create different sets of fields for each new dataset. Type your data directly into the web app, or install our mobile app to collect your data without needing an Internet connection. Add unlimited free contributors and give them access to your dataset with a simple code. View your data from any angle. Unlimited filtering, automatic aggregation, and recommended visualizations show you the shape of your data without requiring you to build your own charts. Your work doesn’t stop when you leave the office, and neither should your data. We designed Conseris for the passionate researcher whose ideas don’t always fit between four walls. Whether you’re miles above the earth or away from the nearest village, Conseris won’t stop working until you do.Starting Price: $12 per user per month -
39
SuperAnnotate
SuperAnnotate
SuperAnnotate is the world's leading platform for building the highest quality training datasets for computer vision and NLP. With advanced tooling and QA, ML and automation features, data curation, robust SDK, offline access, and integrated annotation services, we enable machine learning teams to build incredibly accurate datasets and successful ML pipelines 3-5x faster. By bringing our annotation tool and professional annotators together we've built a unified annotation environment, optimized to provide integrated software and services experience that leads to higher quality data and more efficient data pipelines. -
40
Ferret
Apple
An End-to-End MLLM that Accept Any-Form Referring and Ground Anything in Response. Ferret Model - Hybrid Region Representation + Spatial-aware Visual Sampler enable fine-grained and open-vocabulary referring and grounding in MLLM. GRIT Dataset (~1.1M) - A Large-scale, Hierarchical, Robust ground-and-refer instruction tuning dataset. Ferret-Bench - A multimodal evaluation benchmark that jointly requires Referring/Grounding, Semantics, Knowledge, and Reasoning.Starting Price: Free -
41
Molmo
Ai2
Molmo is a family of open, state-of-the-art multimodal AI models developed by the Allen Institute for AI (Ai2). These models are designed to bridge the gap between open and proprietary systems, achieving competitive performance across a wide range of academic benchmarks and human evaluations. Unlike many existing multimodal models that rely heavily on synthetic data from proprietary systems, Molmo is trained entirely on open data, ensuring transparency and reproducibility. A key innovation in Molmo's development is the introduction of PixMo, a novel dataset comprising highly detailed image captions collected from human annotators using speech-based descriptions, as well as 2D pointing data that enables the models to answer questions using both natural language and non-verbal cues. This allows Molmo to interact with its environment in more nuanced ways, such as pointing to objects within images, thereby enhancing its applicability in fields like robotics and augmented reality. -
42
Deep Lake
activeloop
Generative AI may be new, but we've been building for this day for the past 5 years. Deep Lake thus combines the power of both data lakes and vector databases to build and fine-tune enterprise-grade, LLM-based solutions, and iteratively improve them over time. Vector search does not resolve retrieval. To solve it, you need a serverless query for multi-modal data, including embeddings or metadata. Filter, search, & more from the cloud or your laptop. Visualize and understand your data, as well as the embeddings. Track & compare versions over time to improve your data & your model. Competitive businesses are not built on OpenAI APIs. Fine-tune your LLMs on your data. Efficiently stream data from remote storage to the GPUs as models are trained. Deep Lake datasets are visualized right in your browser or Jupyter Notebook. Instantly retrieve different versions of your data, materialize new datasets via queries on the fly, and stream them to PyTorch or TensorFlow.Starting Price: $995 per month -
43
BioTuring Browser
BioTuring Browser
Explore hundreds of curated single-cell transcriptome datasets, along with your own data, through interactive visualizations and analytics. The software also supports multimodal omics, CITE-seq, TCR-seq, and spatial transcriptomic. Interactively explore the world's largest single-cell expression database. Access and query insights from a single-cell database of millions of cells, fully annotated with cell type labels and experimental metadata. Not just creating a gateway to published works, BioTuring Browser is an end-to-end solution for your own single-cell data. Import your fastq files, count matrices, Seurat, or Scanpy objects, and reveal the biological stories inside them. Get a rich package of visualizations and analyses in an intuitive interface, making insight mining from any curated or in-house single-cell dataset become such a breeze. Import single-cell CRISPR screening or Perturb-seq data, and query guide RNA sequences.Starting Price: Free -
44
Vivid 3D
Vivid Interactive FZ LLC
Vivid 3D is an AI-native visual data platform that helps enterprises turn 3D content into a scalable, reusable asset for digital experiences and computer vision. It combines AI-assisted 3D creation, centralized asset management, cloud rendering, and omni-channel publishing in one enterprise-ready ecosystem. Beyond visualization, Vivid 3D enables the generation of unlimited, photorealistic, fully annotated synthetic datasets directly from 3D assets, removing the need for manual labeling or real-world data collection. This allows teams to train, test, and deploy visual AI models faster and more cost-effectively. Built for scale, Vivid 3D supports complex products, large catalogs, and multiple integrations with eCommerce, CPQ, and AI/ML systems. Pricing is fully custom and usage-based, ensuring maximum flexibility and one of the best value propositions on the market. -
45
LTX-2.3
Lightricks
LTX-2.3 is an advanced AI video generation model designed to create high-quality videos from text prompts, images, or other media inputs while maintaining strong control over motion, structure, and audiovisual synchronization. It is part of the LTX family of multimodal generative models built for developers and production teams that need scalable tools to generate and edit video programmatically. It builds on the capabilities of earlier LTX models by improving detail rendering, motion consistency, prompt understanding, and audio quality throughout the video generation pipeline. It features a redesigned latent representation using an upgraded VAE trained on higher-quality datasets, which improves the preservation of fine textures, edges, and small visual elements such as hair, text, and intricate surfaces across frames.Starting Price: Free -
46
Edison Scientific
Edison Scientific
Edison Scientific is an AI platform designed to automate and accelerate scientific research, enabling users to move from hypothesis to validated results within a single environment. The platform integrates literature synthesis, data analysis, and molecular design workflows, allowing research teams to complete end-to-end scientific investigations at dramatically increased speed. At its core is Kosmos, an autonomous research system that performs hundreds of research tasks in parallel, transforming multimodal datasets into comprehensive reports with validated findings and publication-ready figures. Kosmos synthesizes scientific literature, public databases, and proprietary datasets, identifies novel therapeutic targets, uncovers biological mechanisms, and supports the iterative design and optimization of molecular candidates. Validated in real research settings, Kosmos has demonstrated the ability to achieve results that typically require months of human effort in a single day.Starting Price: $50 per month -
47
Reka Flash 3
Reka
Reka Flash 3 is a 21-billion-parameter multimodal AI model developed by Reka AI, designed to excel in general chat, coding, instruction following, and function calling. It processes and reasons with text, images, video, and audio inputs, offering a compact, general-purpose solution for various applications. Trained from scratch on diverse datasets, including publicly accessible and synthetic data, Reka Flash 3 underwent instruction tuning on curated, high-quality data to optimize performance. The final training stage involved reinforcement learning using REINFORCE Leave One-Out (RLOO) with both model-based and rule-based rewards, enhancing its reasoning capabilities. With a context length of 32,000 tokens, Reka Flash 3 performs competitively with proprietary models like OpenAI's o1-mini, making it suitable for low-latency or on-device deployments. The model's full precision requires 39GB (fp16), but it can be compressed to as small as 11GB using 4-bit quantization. -
48
Rendered.ai
Rendered.ai
Overcome challenges in acquiring data for machine learning and AI systems training. Rendered.ai is a PaaS designed for data scientists, engineers, and developers. Generate synthetic datasets for ML/AI training and validation. Experiment with sensor models, scene content, and post-processing effects. Characterize and catalog real and synthetic datasets. Download or move data to your own cloud repositories for processing and training. Power innovation and increase productivity with synthetic data as a capability. Build custom pipelines to model diverse sensors and computer vision inputs. Start quickly with free, customizable Python sample code to model SAR, RGB satellite imagery, and more sensor types. Experiment and iterate with flexible licensing that enables nearly unlimited content generation. Create labeled content rapidly in a hosted, high-performance computing environment. Enable collaboration between data scientists and data engineers with a no-code configuration experience. -
49
Rockfish Data
Rockfish Data
Rockfish Data is the industry's first outcome-centric synthetic data generation platform, unlocking the true value of operational data. Rockfish helps enterprises take advantage of siloed data to train ML/AI workflows, produce compelling datasets for product demos, and more. The platform intelligently adapts to and optimizes diverse datasets, seamlessly adjusting to various data types, sources, and structures for maximum efficiency. It focuses on delivering specific, measurable results that drive tangible business value, with a purpose-built architecture emphasizing robust security measures to ensure data integrity and privacy. By operationalizing synthetic data, Rockfish enables organizations to overcome data silos, enhance machine learning and artificial intelligence workflows, and generate high-quality datasets for various applications. -
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IDnow
IDnow
It takes customers just a few minutes to conveniently register for your services. You need a quick and easy identity verification solution, available anytime and anywhere, while not comprising on security and usability? A blend of modern AI and machine learning, trained on millions of datasets and backed by the expertise of a network of top identity and fraud specialists, gives you the best of both worlds. KYC identification in just a few minutes. Available anytime, anywhere in 195 countries and 30+ languages. Excellent usability, desktop, tablet, IDnow mobile app or SDK and POS processes. Confirmed by very good user ratings. Modern AI and machine learning technology trained on millions of datasets. All data centers, ident centers and ident specialists are completely located in the European Union to ensure a high level of data protection for our platform. IDnow AutoIdent verifies documents anytime and anywhere.
