12 Best Data Providers for Training Generative AI Models in 2024
In a surprise to probably, well, nobody, Collins Dictionary announced last week that its word of the year for 2023 is AI. Collins’ selection indicates how revolutionary AI has proven for technology and society. In particular, generative AI - or GenAI - the kind of AI model which can produce new forms of creative content based on an input. Generative AI models are capable of producing different kinds of media, including image, video, audio, and text, as is synonymous with the AI software which brought this tech innovation mainstream, OpenAI’s ChatGPT.
The world’s largest companies and tech entrepreneurs are investing in generative AI and developing their own systems. Most recently, Elon Musk announced his own AI-powered chatbot, Grok. But there are also scores of smaller companies developing innovative AI products solving everyday business problems. For example, Speedy creates SEO text content at scale; AI Love Code helps developers create websites and generate source code simultaneously; Phot.AI enables visual designers to generate and edit images.
To build generative AI models, having the right data, and lots of it, is crucial. Models that are insufficiently trained, for example with unreliable or a lack of data, will hallucinate or be biased and not generate content you can trust or work with. That’s why working with the best external data providers is essential when it comes to sourcing data for AI & ML training.
We’ve collected the 12 best data vendors offering image, text, audio and code datasets for training generative AI models in 2024. Each has been verified as an AI data seller you can trust to supply data at volume and at quality. Check them out, and browse samples of their datasets on Datarade Marketplace.
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Pixta AI offers annotated image datasets for training AI models with masses of verified data at low cost. With over 80 million images on offer, Pixta AI provides customers with images for a range of scenarios. Pixta AI’s data is suitable for a range of use cases, including risk assessment, vehicle recognition, and facial recognition. Being a subsidiary of PixtaStock—the world’s largest Asian creative platform, Pixta AI’s inherit from 15 years of integrating AI into managing, curating, and processing over 100 million visual data and a vast network of data contributors. The world’s leading brands have trusted Pixta AI to power their accurate and scalable models with better & safer data.
With an extensive array of off-the-shelf datasets and flexible data collection and annotation services, Nexdata helps clients realize AI’s full potential and expedites the AI industry’s growth. Nexdata delivers high-quality data solutions to clients in various industries, including automotive, retail, finance, high-tech, and others, allowing their AI initiatives to thrive and benefit humanity. They provider off-the-shelf 200,000 hours of speech recognition data, 800TB of image/video data, about 2 billion pieces of natural language processing (NLP) data. Nexdata's ready-to-go datasets can be delivered in seconds to improve the accuracy of AI models.
For training AI and LLMs, Bright Data can supply stable stream of diverse and fresh data from any website on demand. The company's datasets are used for AI use cases in HR, predictive analysis, and natural language processing (NLP). By tapping into diverse and representative data sources, Bright Data helps ensure your AI and ML models are trained to prioritize fairness and reduce bias.
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APISCRAPY is an AIMLEAP company offering a suite of data solutions for training AI models. The company’s AI-Labeler is an AI-augmented annotation & labeling tool for images which enables users to prepare image data so it’s ready to teach generative AI models how to ‘recognize’ objects and scenes depicted. APISCRAPY also provides on-demand data for building AI products & services via its platform, AI-Data-Hub.
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TagX provides annotated image data, including images of e-receipts. These annotated financial documents and transactions enable users to train machine learning models for fraud detection and risk assessment. TagX also supplies and labels text data for sentiment analysis, named entity recognition, chatbot training, and language translation applications. Lastly, the provider gathers textual data from websites, social media, and news sources for building NLP models.
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Rightsify offers music datasets for hundreds of genres and from 180 countries globally. Global Copyright Exchange (GCX) by Rightsify provides copyright cleared music datasets for ML and generative AI music projects. Rightsify’s datasets comprise millions of hours of music that is available for training and commercial use. All datasets include detailed metadata on the music such as key, tempo, instrumentation, keywords, chords and more.
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Webautomation collects text and image data from across the web. It enables users to collect millions of data points from e-commerce sites, social media platforms, and more without coding or maintenance. The platform’s user-friendly interface simplifies the process, making it accessible to users of all technical backgrounds looking for real-time data such as product images and social media sentiment for generative AI.
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Measurable AI offers image datasets of receipts covering emerging markets in Asia. These datasets can be annotated and available to buy for specific verticals and industires, for example online food delivery or ride-hailing consumer transactions. Measureable AI’s data is typically used for gathering consumer insights, however it can also be used to create predictive and generative AI models.
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WIRESTOCK is an online marketplace for selling and purchasing visual art generated by AI. They also offer data for AI & ML training, with 4.5 million AI works of art, spanning images, photos, illustrations and videos, for sale across 20+ categories. WIRESTOCK’s datasets are ideal for training generative AI software tools like DALL-E, OpenAI’s AI art generator.
Deeply believes that audio AI technology can make our lives better and provides data that train powerful AI models. Deeply sells audio data for a range of generative AI use cases, including transcription, translation, and audio to text conversion. Audio files in Deeply’s datasets include everyday sounds, such as an ambulance siren in traffic, to more specific soundbites, like greetings expressed in different languages.
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Shaip offers a human-in-the-loop data platform and services to support all aspects of managing training data for the development of AI/ML models. From data collection, licensing, curation, labeling, transcribing to the seamless scalability of our people, platform, and processes, Shaip contributes to a diverse set of verticals to solve the most demanding AI challenges.
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Overtone Data is sourced from online news articles and tagged for sentiment, journalistic integrity, complexity, and topic depth. This textual analysis can be used to train other generative AI models, like chatbots and SEO content assistants, to produce texts according to complex briefs so that the end result really reads as if a human has written it.
Enjoyed this top list of the best data providers for generative AI? Then compare even more AI & ML training data providers on Datarade Marketplace. There, you can compare sample datasets, contact providers for custom AI data solutions, or post your data request outlining your generative AI project to let the AI training data providers come to you.
About the author
Lucy Kelly is a researcher at Datarade, the company facilitating the exchange of Big Data. She writes about the various use cases for external data, leading data providers, and developments in the tech industry, with a focus on data monetization trends.
In a surprise to probably, well, nobody, Collins Dictionary announced last week that its word of the year for 2023 is AI. Collins’ selection indicates how revolutionary AI has proven for technology and society. In particular, generative AI - or GenAI - the kind of AI model which can produce new forms of creative content based on an input. Generative AI models are capable of producing different kinds of media, including image, video, audio, and text, as is synonymous with the AI software which brought this tech innovation mainstream, OpenAI’s ChatGPT.
The world’s largest companies and tech entrepreneurs are investing in generative AI and developing their own systems. Most recently, Elon Musk announced his own AI-powered chatbot, Grok. But there are also scores of smaller companies developing innovative AI products solving everyday business problems. For example, Speedy creates SEO text content at scale; AI Love Code helps developers create websites and generate source code simultaneously; Phot.AI enables visual designers to generate and edit images.
To build generative AI models, having the right data, and lots of it, is crucial. Models that are insufficiently trained, for example with unreliable or a lack of data, will hallucinate or be biased and not generate content you can trust or work with. That’s why working with the best external data providers is essential when it comes to sourcing data for AI & ML training.
We’ve collected the 12 best data vendors offering image, text, audio and code datasets for training generative AI models in 2024. Each has been verified as an AI data seller you can trust to supply data at volume and at quality. Check them out, and browse samples of their datasets on Datarade Marketplace.
Pixta AI offers annotated image datasets for training AI models with masses of verified data at low cost. With over 80 million images on offer, Pixta AI provides customers with images for a range of scenarios. Pixta AI’s data is suitable for a range of use cases, including risk assessment, vehicle recognition, and facial recognition. Being a subsidiary of PixtaStock—the world’s largest Asian creative platform, Pixta AI’s inherit from 15 years of integrating AI into managing, curating, and processing over 100 million visual data and a vast network of data contributors. The world’s leading brands have trusted Pixta AI to power their accurate and scalable models with better & safer data.
With an extensive array of off-the-shelf datasets and flexible data collection and annotation services, Nexdata helps clients realize AI’s full potential and expedites the AI industry’s growth. Nexdata delivers high-quality data solutions to clients in various industries, including automotive, retail, finance, high-tech, and others, allowing their AI initiatives to thrive and benefit humanity. They provider off-the-shelf 200,000 hours of speech recognition data, 800TB of image/video data, about 2 billion pieces of natural language processing (NLP) data. Nexdata's ready-to-go datasets can be delivered in seconds to improve the accuracy of AI models.
For training AI and LLMs, Bright Data can supply stable stream of diverse and fresh data from any website on demand. The company's datasets are used for AI use cases in HR, predictive analysis, and natural language processing (NLP). By tapping into diverse and representative data sources, Bright Data helps ensure your AI and ML models are trained to prioritize fairness and reduce bias.
APISCRAPY is an AIMLEAP company offering a suite of data solutions for training AI models. The company’s AI-Labeler is an AI-augmented annotation & labeling tool for images which enables users to prepare image data so it’s ready to teach generative AI models how to ‘recognize’ objects and scenes depicted. APISCRAPY also provides on-demand data for building AI products & services via its platform, AI-Data-Hub.
TagX provides annotated image data, including images of e-receipts. These annotated financial documents and transactions enable users to train machine learning models for fraud detection and risk assessment. TagX also supplies and labels text data for sentiment analysis, named entity recognition, chatbot training, and language translation applications. Lastly, the provider gathers textual data from websites, social media, and news sources for building NLP models.
Rightsify offers music datasets for hundreds of genres and from 180 countries globally. Global Copyright Exchange (GCX) by Rightsify provides copyright cleared music datasets for ML and generative AI music projects. Rightsify’s datasets comprise millions of hours of music that is available for training and commercial use. All datasets include detailed metadata on the music such as key, tempo, instrumentation, keywords, chords and more.
Webautomation collects text and image data from across the web. It enables users to collect millions of data points from e-commerce sites, social media platforms, and more without coding or maintenance. The platform’s user-friendly interface simplifies the process, making it accessible to users of all technical backgrounds looking for real-time data such as product images and social media sentiment for generative AI.
Measurable AI offers image datasets of receipts covering emerging markets in Asia. These datasets can be annotated and available to buy for specific verticals and industires, for example online food delivery or ride-hailing consumer transactions. Measureable AI’s data is typically used for gathering consumer insights, however it can also be used to create predictive and generative AI models.
WIRESTOCK is an online marketplace for selling and purchasing visual art generated by AI. They also offer data for AI & ML training, with 4.5 million AI works of art, spanning images, photos, illustrations and videos, for sale across 20+ categories. WIRESTOCK’s datasets are ideal for training generative AI software tools like DALL-E, OpenAI’s AI art generator.
Deeply believes that audio AI technology can make our lives better and provides data that train powerful AI models. Deeply sells audio data for a range of generative AI use cases, including transcription, translation, and audio to text conversion. Audio files in Deeply’s datasets include everyday sounds, such as an ambulance siren in traffic, to more specific soundbites, like greetings expressed in different languages.
Shaip offers a human-in-the-loop data platform and services to support all aspects of managing training data for the development of AI/ML models. From data collection, licensing, curation, labeling, transcribing to the seamless scalability of our people, platform, and processes, Shaip contributes to a diverse set of verticals to solve the most demanding AI challenges.
Overtone Data is sourced from online news articles and tagged for sentiment, journalistic integrity, complexity, and topic depth. This textual analysis can be used to train other generative AI models, like chatbots and SEO content assistants, to produce texts according to complex briefs so that the end result really reads as if a human has written it.
Enjoyed this top list of the best data providers for generative AI? Then compare even more AI & ML training data providers on Datarade Marketplace. There, you can compare sample datasets, contact providers for custom AI data solutions, or post your data request outlining your generative AI project to let the AI training data providers come to you.
About the author
Lucy Kelly is a researcher at Datarade, the company facilitating the exchange of Big Data. She writes about the various use cases for external data, leading data providers, and developments in the tech industry, with a focus on data monetization trends.
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