“Nothing that we tried in-house is comparable to what we’re doing now with Tonic. It’s a game changer both in terms of the automation we can achieve, as well as on-demand function validation targeting specific use cases with the precise data we need.” - Srikanth Rentachintala, Director of Buyer Experience Engineering at eBay Check out our latest case study to learn how eBay is using our advanced subsetting and data de-identification tools to shorten development cycles and fuel their automated testing suite. https://lnkd.in/eX8fW3n
About us
Tonic.ai democratizes data access for all technical data consumers by eliminating trade-offs between privacy and data availability. Tonic’s solutions synthesize safe, high-fidelity versions of production data devoid of sensitive information and PII. Hundreds of customers across industries depend on Tonic.ai to build data-driven software and fine-tune ML training models. They get all the value of production data without actually having to copy sensitive data around their organization, unlocking strategic data assets for use across functions, from engineering, to business operations, to even sales teams for demos. With high quality data, teams author fewer defects and ship faster all while having a strong security posture
- Website
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https://tonic.ai/
External link for Tonic.ai
- Industry
- Software Development
- Company size
- 51-200 employees
- Headquarters
- San Francisco, California
- Type
- Privately Held
- Founded
- 2018
Locations
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Primary
548 Market St
San Francisco, California 94104, US
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10th St NW
Atlanta, Georgia, US
Employees at Tonic.ai
Updates
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How are AI tools transforming the developer experience? Craig Alexander, Head of Engineering here at Tonic.ai, shares his thoughts on the impact of AI tools on software development. While AI has become invaluable for tasks like query writing, infrastructure management, and data tasks, Craig remains mindful of possible limitations across all aspects of coding. Read the rest of his thoughts in this Heavybit article here: https://lnkd.in/gigHJ-Hg #AI #GenerativeAI #SoftwareDevelopment #TechInnovation #FutureOfTech
The Future of Coding in the Age of GenAI | Heavybit
heavybit.com
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Tonic.ai reposted this
The partnership of Tonic.ai and Yugabyte brings together the best of synthetic data generation and distributed SQL databases to provide a cutting-edge, cloud-native, experience for developers and enterprises.💡 Read our joint blog to discover how you can unlock new possibilities for innovation and growth with Tonic Structural and YugabyteDB.🚀⬇️ https://hubs.la/Q02SyXR90 #YugabyteDB #tonicstructural #syntheticdata #distributedsql #cloudnative #developer
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Perfectly mixed! Tonic.ai's Textual makes unstructured data AI-ready, delivering faster insights with Databricks. Cheers to smarter, scalable AI! 🚀 #AI #DataPrivacy
Thirsty? Building a high-performance #RAG system is like mixing the perfect gin and Tonic. Tonic.ai, a Databricks ISV partner, offers Tonic #Textual, a tool that converts your unstructured data (PDFs, Word Docs, etc.) into AI-ready formats. It integrates with #UnityCatalog, ensuring both accuracy and privacy. Key business benefits: -- Faster decision-making: Tonic Textual preps your unstructured data, delivering faster and more accurate insights. -- Better productivity: Automating data prep saves your teams hours of manual work. -- Improved accuracy: By adding metadata (like names or dates), AI reduces errors and delivers more precise results. -- Seamless integration: Tonic Textual works with Databricks Unity Catalog and Mosaic AI for easy scalability, so your #AI solutions can grow with your business. Wanna do it? Read here for instructions: https://lnkd.in/gAGGNRNT Tomer Benami, Prasad Kona, Eric Peter
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Together with Yugabyte, we are unlocking the advantages of modern databases. Announcing the partnership between Tonic.ai and Yugabyte, bringing together synthetic data generation and distributed SQL databases to revolutionize the cloud-native experience for developers and enterprises alike. 🔗 https://lnkd.in/eZHWyWGp In this blog, Tonic.ai's Product Manager Paige Whittemore dives deep into how YugabyteDB offers unparalleled scalability, performance, and flexibility while Tonic Structural ensures top-notch data privacy and realistic test environments. Together, they deliver a seamless, secure, and efficient developer experience that accelerates time-to-market and ensures long-term growth. Ready to unlock new possibilities for innovation and growth with Tonic Structural’s YugabyteDB integration? Read more 👆 #SyntheticData #CloudNative #DataPrivacy #Scalability #DataGeneration
Unlocking the Value of Modern Databases with YugabyteDB and Tonic.ai | Yugabyte
yugabyte.com
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Enterprise Data Privacy in AI 👇 As part of our panel, listen to Allie K. Miller and George Mathew talk about embracing the chaos that comes with innovation in AI. It’s all about reinventing processes and pushing boundaries to drive real change. AI thrives on disruption, and handling the unpredictable is where breakthroughs happen. 💥 Catch the full conversation by watching the complete panel here: https://lnkd.in/eRnvtJka #AIInnovation #DataPrivacy #AI #EnterpriseAI
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🚀 Building a high-performance RAG system doesn’t have to be hard! In our latest blog, our own Ethan P. and Prasad Kona from Databricks demonstrate how Tonic Textual and Databricks together make building a RAG system using documents in your data lake simple. Ethan and Prasad walked through an illustrative example of how to use Tonic Textual to easily parse, structure, and ingest unstructured data from your data lake into Databricks Unity Catalog and build a RAG system using the Mosaic AI Agent Framework. Textual’s advanced NER models also detect interesting metadata that can be used to improve retrieval precision, all with just a few lines of code. 🔑 Key takeaways: - Simplify the ingestion, parsing, and preparation of unstructured data with Tonic Textual. - Use metadata-enriched documents to drastically improve the accuracy of your RAG system. - Seamlessly integrate data from your documents with Databricks Unity Catalog and Mosaic AI for scalable vector search. Ready to take your RAG systems to the next level? 👉 Read the blog and see how you can build smarter AI applications: https://lnkd.in/e8_zAPzU Plus, try out Tonic Textual and its native integration with Databricks today! Sign up for a free account here: https://lnkd.in/eWm8NgD5
Building a RAG system on Databricks with your unstructured data | Blog | Tonic.ai
tonic.ai
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Our very own Craig Alexander, Director of Engineering at Tonic.ai, shares his valuable insights on using AI tooling to focus on what truly matters in development in this article with Heavybit. Read the full article here👇
Are #AI #codegeneration tools a perfect fit for every #engineering team and every #coding project across the board? How much of a role will AI #assistants play in the future of #software #development--and in how #startups and #enterprises hire #engineers in the future? AI tooling experts Ty Dunn of Continue, Steven Schkolne of MightyMeld, and Craig Alexander of Tonic.ai discuss the current state of play for #codegen tools, and how they will (or won't) change the lives and careers of devs: https://lnkd.in/gigHJ-Hg
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More to share from the MLOps Community #CoffeeSessions podcast with our Co-Founder & Head of Engineering, Adam Kamor and Demetrios Brinkmann. Catch the full episode 👉 https://lnkd.in/eUUrrvBe.
While no tool is perfect, Tonic Validate helps developers consistently improve AI quality. Shout out to Tonic.ai for this episode!
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How can you really achieve privacy in AI? In this segment, Allie K. Miller dives into the essential collaboration between human expertise and machine efficiency in protecting data privacy within AI systems. She emphasizes how a thoughtful blend of automation and human oversight can ensure stronger data security and ethical AI development. Ready for more? The full panel recording is available now. Access it here: https://lnkd.in/eRnvtJka #AI #DataPrivacy #DataSecurity #AIInnovation #EnterpriseAI