MOSTLY AI

📢 𝗠𝗔𝗝𝗢𝗥 𝗨𝗽𝗱𝗮𝘁𝗲 𝗔𝗹𝗲𝗿𝘁 📢 𝗔 𝗡𝗲𝘄 𝗘𝗿𝗮 𝗼𝗳 𝗔𝗜 & 𝗗𝗮𝘁𝗮 𝗗𝗲𝗺𝗼𝗰𝗿𝗮𝘁𝗶𝘇𝗮𝘁𝗶𝗼𝗻⬇️ At MOSTLY AI, our mission has always been to democratize data. To empower every business, every entity to harness the full potential of their proprietary data without risking #privacy. With this MAJOR announcement, we aim to remove the remaining friction towards adopting #syntheticdata at scale, while boosting transparency and trust. We proudly present the first industry-grade open source SDK for privacy-safe synthetic data — developed to meet and exceed the expectations of modern, large-scale organizations: ✔️state-of-the-art accuracy ✔️state-of-the-art privacy (incl. differential privacy) ✔️best-in-class compute efficiency (16x to 100x faster) ✔️deploy in your secure compute environment ✔️broad range of supported data types ☀️fully permissive Apache 2.0 license ➡️ Ready to explore? Join our community by installing, using, and building upon our 𝗦𝘆𝗻𝘁𝗵𝗲𝘁𝗶𝗰 𝗗𝗮𝘁𝗮 𝗦𝗗𝗞 (𝗹𝗶𝗻𝗸 𝗯𝗲𝗹𝗼𝘄). Share it with your data teams and shape the future of AI-driven innovation! #datademocratization #artificialintelligence #opensource #gosynthetic

🔔 NEW FEATURES 🔔 🗓️ Only two weeks ago, we introduced our open-source Synthetic Data SDK—a cutting-edge Python package for generating differentially private synthetic data right in your local environment, giving you full control over privacy. ⏱️ Today, we’re excited to launch MOSTLY AI Platform v4.1.0 🚀 Delivering data without boundaries that lets you import locally generated synthetic data assets into the platform for collaboration and sharing. This empowers you to move from solo experimentation to team-wide or even public use—while maintaining privacy at every step. 👥 Organizations 🏢 • Create an organization, invite your team, and manage access. • Centralize your synthetic data assets in one place for streamlined collaboration. 🔐 Private or Public Assets 🌎 • Keep datasets exclusive to specific users or share them publicly. • You decide how far your synthetic data travels. 💬 We’d love your feedback! Try out the latest features and let us know what you think!

"𝙒𝙚 𝙘𝙖𝙣 𝙩𝙖𝙡𝙠 𝙖𝙗𝙤𝙪𝙩 𝘼𝙄 𝙨𝙖𝙫𝙞𝙣𝙜 𝙩𝙝𝙚 𝙬𝙤𝙧𝙡𝙙, 𝙘𝙪𝙧𝙞𝙣𝙜 𝙘𝙖𝙣𝙘𝙚𝙧, 𝙖𝙣𝙙 𝙝𝙚𝙡𝙥𝙞𝙣𝙜 𝙩𝙖𝙘𝙠𝙡𝙚 𝙩𝙝𝙚 𝙘𝙡𝙞𝙢𝙖𝙩𝙚 𝙘𝙧𝙞𝙨𝙞𝙨 𝙖𝙡𝙡 𝙙𝙖𝙮. 𝙄𝙛 𝙮𝙤𝙪'𝙧𝙚 𝙣𝙤𝙩 𝙜𝙤𝙞𝙣𝙜 𝙩𝙤 𝙤𝙥𝙚𝙣 𝙪𝙥 𝙙𝙖𝙩𝙖 𝙩𝙤 𝙩𝙝𝙚 𝙜𝙚𝙣𝙚𝙧𝙖𝙡 𝙥𝙪𝙗𝙡𝙞𝙘, 𝙉𝙂𝙊𝙨, 𝙖𝙣𝙙 𝙧𝙚𝙨𝙚𝙖𝙧𝙘𝙝𝙚𝙧𝙨, 𝙩𝙝𝙚 𝙖𝙨𝙥𝙞𝙧𝙖𝙩𝙞𝙤𝙣 𝙬𝙞𝙡𝙡 𝙣𝙤𝙩 𝙗𝙚𝙘𝙤𝙢𝙚 𝙖 𝙧𝙚𝙖𝙡𝙞𝙩𝙮. " That’s why we built the first industrial-grade open source #syntheticdata SDK — because both enterprizes and society at large need high-quality, privacy-safe data to drive meaningful AI progress. Cate Lawrence just wrote what’s easily my favorite piece on synthetic data and MOSTLY AI's mission of #datademocratization. Cate, thank you so much for taking the time to interview me and publishing this incredible piece on synthetic data. You did an incredible job capturing why this matters — not just for enterprizes, but for #AIInnovation at large. https://lnkd.in/dcZXkPeq #AIActionSummit #Paris2025 #AI #Privacy #ArtificialIntelligence #AIAct #OpenSource #ResponsibleAI #OpenData #OECD Tech.eu #AIOpportunitiesActionPlan Peter Kyle OECD.AI Dr. Clara Neppel Alpesh S. IEEE European Data Protection Board Jiri Hradec Malte Beyer-Katzenberger European Commission Axel Voss Kai Zenner Cameron Kerry Andrea Renda CEPS (Centre for European Policy Studies) Bojana Bellamy Hunton & Williams LLP National Institute of Standards and Technology (NIST) EDPS - European Data Protection Supervisor The Royal Society

🔓 Unlock data democratization and accelerate model development on Amazon SageMaker with privacy-preserving Synthetic Data from MOSTLY AI 🚀 Check out our latest blog, co-authored by Julio Zambrano and Siva S. 👉 https://lnkd.in/dXWZ8JXf We're excited about deeper integration with SageMaker Unified Studio in 2025! 🙌 Faris Haddad Thomas Zerbach Venkatesh Krishnan, PhD Alexandra Ebert Mario Scriminaci John Sullivan #mostlyai #aws #generativeai #syntheticdata #datascience

🚀 Now supporting Databricks compute! 🚀 You can now use your Databricks clusters for generator training and synthetic data generation, alongside Kubernetes. This update unlocks new possibilities, providing more flexibility for your workflows. #syntheticdata #databricks #ai #generativeai #mostlyai #datascience

🎯 Need mock data for your next project? Our latest Product Tips video is here to help! Watch as our CPO, Mario Scriminaci, demonstrates how to generate mock data effortlessly using MOSTLY AI. 🌟 And here’s the kicker: stick around until the end of the video for a bonus tip! If you need larger datasets, Mario shares how to scale up with ease. 🎞️ Watch now and supercharge your mock data generation: https://lnkd.in/d7RDRZjd #SyntheticData #MockData #AI #DataGeneration #ProductTips

📽️ From Table Talk to Data Magic! In our last video, we introduced the basics of setting up table relationships in a simple two-table scenario. But what if your data structure is more complex? In this follow-up video, Zahari Tilev dives into multi-table relationships, explaining how to use context vs. non-context foreign keys to ensure your synthetic data is accurate and meaningful. 🍿 Watch it here: https://lnkd.in/dTuSxg5W We’d love to hear your thoughts—share your feedback or questions in the comments! #SyntheticData #TableRelationships #DataPrivacy #GenerativeAI #GenAI #MostlyAI

🚀 Exciting updates inside! At MOSTLY AI, we’re always working to improve your experience with synthetic data. Here's what's new: 🛡️ Differential Privacy You now have the choice to train generators with or without differential privacy (DP) guarantees! • Training becomes differentially private, with the platform tracking the privacy budget (Epsilon) throughout. • Set an upper Epsilon limit to automatically stop training when the budget is reached. Want to learn more about how differential privacy works and why it matters? Check out our blog post: 👉 https://lnkd.in/d6_PzXmE 🔔 Notification Center No more wondering about training and generation progress! The Notification Center keeps you informed with: • Updates on the success and failure of Generator training and Synthetic dataset generation. • Notifications when a peer shares a Generator or Synthetic dataset with you. ❤️ Likes for Generators and Synthetic Datasets Spread the love! Whether it’s a generator or synthetic dataset you admire, click the ❤️ to show your appreciation and share feedback with creators. Explore the possibilities of synthetic data today—join us at app.mostly.ai to get started. Which feature are you most excited about? Let us know in the comments!

There are two camps within privacy engineering: 1) the Formalists 🧑🎓, who consider theoretical guarantees above all 2) the Pragmatists 🧑🏭, who care for practical & effective solutions that work Happy to share that MOSTLY AI now proudly serves both camps with 𝐃𝐢𝐟𝐟𝐞𝐫𝐞𝐧𝐭𝐢𝐚𝐥𝐥𝐲 𝐏𝐫𝐢𝐯𝐚𝐭𝐞 𝐒𝐲𝐧𝐭𝐡𝐞𝐭𝐢𝐜 𝐃𝐚𝐭𝐚 - available for TABULAR as well as for LANGUAGE models 🎉 Learn more in our latest blog post: https://lnkd.in/dsCS3V_Z

"𝗙𝗼𝗿𝗴𝗲𝘁 𝗮𝗯𝗼𝘂𝘁 𝗰𝗼𝗽𝘆𝗶𝗻𝗴 𝗼𝘁𝗵𝗲𝗿𝘀—𝘆𝗼𝘂 𝗻𝗲𝗲𝗱 𝘁𝗼 𝗯𝘂𝗶𝗹𝗱 𝘆𝗼𝘂𝗿 𝗼𝘄𝗻 𝗔𝗜 𝗺𝘂𝘀𝗰𝗹𝗲!" If your organization is serious about #AI, our latest 𝗗𝗮𝘁𝗮 𝗗𝗲𝗺𝗼𝗰𝗿𝗮𝘁𝗶𝘇𝗮𝘁𝗶𝗼𝗻 𝗣𝗼𝗱𝗰𝗮𝘀𝘁 episode with Daragh Morrissey, Microsoft’s Director of AI for WW Financial Services, is the workout plan you’ve been waiting for! 𝗧𝘂𝗻𝗲 𝗶𝗻 𝘁𝗼 𝗹𝗲𝗮𝗿𝗻: 🏃🏻 why following others' AI playbook just won't cut it, 🏊🏻 why you should avoid over-strategizing and instead focus on the outcome (especially with GenAI), 🚴🏻 which AI use cases drive the most ROI, 🏄🏻  how AI agents and quantum computing are set to transform financial services, ...and many more invaluable insights from Daragh to propel your AI endeavors to new heights. ▶️ Listen to the full episode here: bit.ly/daraghmorrissey ▶️ On Spotify: bit.ly/4eAJn7k ▶️ On Apple Podcasts: bit.ly/3USEUpH Daragh, thank you again for moderating the Money20/20 𝗨𝗦 𝗽𝗮𝗻𝗲𝗹 𝗼𝗻 𝗔𝗜 𝗘𝗰𝗼𝘀𝘆𝘀𝘁𝗲𝗺𝘀 with Kelly Wen (BNY), Malcolm deMayo (NVIDIA), and Kate Lybarger (Discover Global Network). It was enlightening! And an even bigger THANK YOU for taking time out of your busy conference schedule. Doing this live recording with you was inspiring, insightful, and incredibly fun - you are truly a 𝟱-𝘀𝘁𝗮𝗿 𝗽𝗼𝗱𝗰𝗮𝘀𝘁 𝗴𝘂𝗲𝘀𝘁! ⭐️⭐️⭐️⭐️⭐️ #DataDemocratization #AI #GenerativeAI #GenAI #AIAgents #quantum #syntheticdata #cloud #Money2020 MOSTLY AI Rachel Morrissey Ian Horne