Help our research and support earthquake victims by filling out the Synthetic Data Survey! ❤️ Read more Platform Synthetic Data Resources Company Pricing Log in Get started free Generative AI for tabular data AI-generated synthetic data provides a reduction in time-to-data, more machine learning models in production, and 100% privacy. Contact Us Use cases Synthetic data use cases Discover all the synthetic data use cases to advance your organization’s goals. Eradicate data sharing limitations, test and develop products, train machine learning algorithms, eliminate biases, and more. Data democratization Proactively serve high quality synthetic data downstream Read more Cross-border and enterprise data sharing Share synthetic data versions across borders and businesses Read more Data anonymization Synthetic data for maximum privacy and data utility Read more Testing and product development Synthetic copies of production data for faster and cheaper sprints Read more AI/ML development Synthetic training data is better than real data Read more Fairness and explainability for AI/ML Fix embedded biases and provide explainability through data Read more Platform overview One platform to transform data and take you further Synthetic data sets teams free to originate, amend and share datasets in ways that overcome the ethical challenges of using real, anonymized or dummy data. Synthesize data you can actually work with from one intuitive interface. Find out more about our platform Referential data integrityAutomated privacy protection "A robust commercial solution for hierarchical data synthesis was offered by the company MOSTLY AI to test the synthesis quality. The results (...) are impressive." Multipurpose synthetic population for policy applications European Commission, Joint Research Centre Solutions Take your industry to new heights Unlock innovation in your organization and lead your sector. Discover how synthetic data is transforming the worlds of finance, insurance, telecoms, and more. Synthetic data for banking Proactively serve high quality synthetic data downstream Read more Synthetic data for insurance Share synthetic data versions across borders and businesses Read more Synthetic data for telcos Synthetic copies of production data for faster and cheaper sprints Read more Read more about the sectors we help The Executive’s Guide to AI-Generated Synthetic Data with Real-Life Examples Download your copy The data problem Data is a hard nut to crack. It's far from perfect and difficult to share and use. According to Gartner, 85% of machine learning projects fail due to data issues. Data is: missing heavily masked imbalanced biased or downright insufficient smart data imputation data augmentation no data utility loss automated data privacy rebalancing data diversity ready for cloud and data sharing data exploration all of the above without coding The synthetic data alternative Switching to a data-centric machine learning strategy pays off in more ways than one. With synthetic training data, your machine learning projects could have: How does synthetic data help ML and analytics projects? AI-generated synthetic data is generated based on real data samples. MOSTLY AI’s synthetic data generator is capable of learning the most granular level details of correlations, distributions and properties and generating data that is: statistically representative of the seed data protects the privacy of the data subjects imputes missing values with the original distribution rebalanced for simulating what-if scenarios compliant with the strictest privacy laws ready for non-coding users and through API easy to use, enabling data consumption and data exploration Smarter Synthetic Data Start your synthetic data journey Everything you want to know about generating and using synthetic data but were too afraid to ask. Learn about why synthetic data matters. Learn how synthetic data is reshaping the way organizations can handle, share and create new opportunities from their data. Synthetic data knowledge hub The safest hands wear synthetic gloves Synthetic data generation means datasets retain all the useful, statistical properties with none of the privacy risk. Discover how our platform keeps your customers’ information airtight. Learn about privacy and security Get the latest synthetic data updates News, views and plenty of useful materials to further your synthetic data understanding. See all resources BlogApril 25, 2023 by Richard Pelgrim Data anonymization in Python Data anonymization is the process of removing personally identifiable information from datasets. Find out how to do it right! Read now BlogApril 20, 2023 by Elsa Mendes Authenticity at work - be YOU, everyone else is taken What is authenticity at work and how does a remote company, like MOSTLY AI, makes it one of their core values? Read now Podcast What you didn't know about AI transparency with Rania Wazir, co-founder and AI expert In episode 39 of the Data Democratization Podcast, host Alexandra Ebert, Chief Trust Officer at MOSTLY AI, is joined by Rania Wasir, co-founder and CTO of leiwand.ai, to discuss AI transparency, the misconceptions surrounding AI transparency and fairness, and why having a standard for transparency is important. Play now BlogApril 20, 2023 by Tobias Hann Beyond privacy - the vast potential of synthetic data The potential of synthetic data goes beyond privacy enhancement. Extremely valuable use cases, such as data augmentation, rebalancing, domain adaptation, data simulation, bias correction and fairness are all on the table. Read now BlogApril 11, 2023 by Tobias Hann Data scrubbing: The mystery of "scrubbing” Personal Identifiable Information (PII) What is data scrubbing? In the era of big data and data-driven decision-making, protecting the privacy of individuals remains a top priority for businesses and organizations. Data anonymization is a widely used method to achieve this by aiming to remove personal identifiable information (PII) from datasets. One term that is frequently used is "data scrubbing", […] Read now BlogApril 5, 2023 by Nikolina Bobar Women in Data Science: Cracking the Code & Achieving Gender Equality A group of leading voices got together to share some key actionable insights for women, men, and businesses, to help amplify women’s voices and get one step closer to achieving gender equality for women in data science and AI space. Read now BlogMarch 30, 2023 by Ágnes Fekete Synthetic healthcare data platform for pharmaceuticals, research, and patient care Synthetic healthcare data platforms revolutionize how healthcare data is collected, shared and used in research and patient care. Read now BlogMarch 21, 2023 by Leanne Jory How to create the best user experience for data science MOSTLY AI’s new intuitive user interface is not just a pretty face, it’s now even faster to generate synthetic data. Read now Podcast Building trusted ML products with Karin Schöfegger In the 38th episode of the Data Democratization Podcast, Karin Schöfegger shares her insights and challenges in building AI products. Play now Synthetic data generation. For free, forever. The best way to learn about synthetic data is to experiment with synthetic data generation. Register your free forever account and generate your first synthetic dataset based on and representative of real data. No coding or advanced data science knowledge required. Generate synthetic data now Platform Benefits Features Privacy and security Professional services and training Documentation Pricing Use cases Cross-border and enterprise data sharing Testing and product development AI/ML Development Fairness and explainability for AI/ML Solutions Banking Insurance Telecommunications Smarter Synthetic Data What is synthetic data Why synthetic data All about synthetic data Fair synthetic data Generate synthetic data How it works Pricing Company Careers Contact us Resources Subscribe to the MOSTLY AI Newsletter! Subscribe Synthetic data news and the most exciting developments around MOSTLY AI. Once a month, in your inbox. © 2023 Privacy Policy Terms of Service Imprint CookiesHelp our research and support earthquake victims by filling out the Synthetic Data Survey! ❤️ Read more Platform Synthetic Data Resources Company Pricing Log in Get started free Home > Platform Smart synthetic data was built for those who are driven by data Understanding customers and testing our assumptions about them happens through customer data. Privacy regulations such as GDPR and CCPA make a deep understanding harder. MOSTLY AI's synthetic data platform bridges this ever-growing gap in customer understanding. Generate high quality, production-like synthetic data for smarter AI and smarter testing. Ask us anything Sign up Overview The world’s leading synthetic data generator for building AI and software applications. Smart synthetic data use cases range from AI and machine learning development to generating highly realistic test data. One easy to use platform, lots of database connections and fantastic features to automate your data generation pipelines. By loading the video, you agree to YouTube's privacy policy. Learn more Load video Always unblock YouTube Benefits Learn how MOSTLY AI can benefit you A reliable synthetic data generator can serve business across use cases. Providing privacy-safe data alternatives is just the beginning. MOSTLY AI's synthetic data platform is the most versatile synthetic data generator available. Use case flexibility makes it a must-have tool for AI and software testing. From AI training to explainability, bias mitigation and governance, to realistic test data with subsetting, referential integrity and conditioned test data generation, MOSTLY AI serves all your needs. Learn more about the benefits Features Synthetic data platform features Using our platform is really easy. You can generate synthetic data on-demand through a friendly user interface. You don't need any coding skills. You can synthesize entire databases, subset your original data as you wish and even add mock data to synthetic sets. Learn more Privacy and Security How privacy and security works with synthetic data. Businesses are challenged by citizens and governments to obtain consent for data collection, and to keep this data private and secure. Synthetic data is the privacy compliant solution ready to unlock data value across organizations and beyond. Learn more Services and training Professional services and training As the pioneers of synthetic data technology, we have tons of experience. Our team has the know-how to help companies implement synthetic data into their workflows. We'll help you build your synthetic data pipeline without disruptions and with maximum impact. It's time to get hands-on with synthetic data, and we'll help you do just that! Learn more How it works Synthetic data generator docs The docs include all of the up-to-date product details and a handy quickstart guide. The quickstart guide instructs you step by step through the easiest and fastest way to synthesize your first datasets. You can read about the best features of the world's leading synthetic data generator, such as data catalogs, QA reports, continuous data streams, user management and data connectors. You can also find a full installation guide and detailed technical specifications. Read more Want to learn more about how synthetic data can help you? Contact us Try for free Platform Benefits Features Privacy and security Professional services and training Documentation Pricing Use cases Cross-border and enterprise data sharing Testing and product development AI/ML Development Fairness and explainability for AI/ML Solutions Banking Insurance Telecommunications Smarter Synthetic Data What is synthetic data Why synthetic data All about synthetic data Fair synthetic data Generate synthetic data
About MOSTLY AI
MOSTLY AI is a platform for generating synthetic data that can be used for a variety of purposes such as testing, developing, and training machine learning models. The platform offers several benefits including reduced time-to-data, increased models in production, and 100% privacy. Synthetic data provides a solution to common data issues such as missing, heavily masked, imbalanced, and biased data.
The platform offers features such as referential data integrity and automated privacy protection, which ensure the generated data retains statistical properties but is free of privacy risk. The synthetic data is statistically representative of the seed data, protects the privacy of the data subjects, imputes missing values, rebalances for simulating what-if scenarios, and complies with privacy laws.
MOSTLY AI's platform is versatile and has a wide range of use cases, such as data democratization, cross-border and enterprise data sharing, data anonymization, testing and product development, AI/ML development, and fairness and explainability for AI/ML. The platform caters to several industries such as finance, insurance, and telecoms.
Privacy regulations such as GDPR and CCPA make understanding customers difficult, and synthetic data provides a privacy-safe alternative that can be used for AI training and testing, explainability, bias mitigation, and governance. The platform is easy to use and does not require any coding skills, and users can synthesize entire databases, subset original data, and add mock data to synthetic sets.
MOSTLY AI also provides professional services and training to help companies implement synthetic data into their workflows effectively. The platform has thorough documentation that includes product details, installation guides, and technical specifications.
In summary, MOSTLY AI's platform offers a reliable solution to common data issues, caters to several industries, and provides privacy-safe alternatives for AI training and testing. The platform is easy to use, offers several features, and is backed by thorough documentation and professional services.
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