“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
关于我们
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
- 网站
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https://tonic.ai/
Tonic.ai的外部链接
- 所属行业
- 软件开发
- 规模
- 51-200 人
- 总部
- San Francisco,California
- 类型
- 私人持股
- 创立
- 2018
地点
Tonic.ai员工
动态
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I’m incredibly proud to share that?Tonic.ai?has been awarded the G2 Best Support badge this Fall 2024. This recognition goes to only ONE company per category each season, and it reflects the dedication, expertise, and care that our Customer Success team and all of our teams deliver every single day. At Tonic, we believe that exceptional support isn’t just about solving problems—it’s about building trust, empowering users, and enabling success. Thanks G2 for the recognition. Read our reviews here:?https://lnkd.in/gGJUnCpH
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Privacy and performance don’t have to be at odds in #RAG.??? This blog dives deep into how you can strike the right balance, ensuring robust data protection without sacrificing the performance needed for high-quality AI results. In today’s AI-driven world, the demand for both security and precision is higher than ever. From data de-identification to tailored synthetic datasets, Tonic.ai is enabling teams to maintain privacy while building performant RAG workflows. Curious how we’re paving the way for privacy-first AI innovation? ?? Read more here: https://lnkd.in/eucDRQa6
Protecting privacy without hurting RAG performance | Blog | Tonic.ai
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Want to build and test without limits? With Fabricate, teams can now spin up fully functional databases for greenfield applications and new feature testing—all without needing existing data. Prototype, build, and innovate on a fresh canvas with speed and confidence. ?? https://lnkd.in/eKN6ZA_b
Fabricate | Synthetic relational databases generated from scratch | Tonic.ai
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Data anonymization and data masking are used interchangeably as frequently as they are pitted against each other—in other words, confusion prevails. ?? - What are the differences (if any)? - When should you use one term over the other? - More importantly, when should you use one approach over the other? (And which of these are trick questions?) Our latest guide breaks down the nuances between anonymization and masking, helping you untangle the terminology and de-identify your data with the confidence that you’re using the right approach for your data needs. Dive into the details and definitions here: https://lnkd.in/e92DYC5p
Data anonymization vs data masking: is there a difference? | Tonic.ai
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We're at QCon San Francisco! ??Stop by our booth to meet the team and learn about how Tonic.ai is revolutionizing test data for QA, developers, and more. QCon Software Development Conferences Karl Hanson Robert Kim #QCon #SoftwareDevelopment #DataPrivacy #SyntheticData
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Say hello to Fabricate. A new offering that helps accelerate new product development, innovation, and sales by generating synthetic databases from scratch. No production data needed! Fabricate allows you to create scalable datasets with full relational integrity across unlimited tables and domains when realistic data is the missing ingredient in your developer workflows. Want to learn more? https://lnkd.in/eKN6ZA_b
Fabricate | Synthetic relational databases generated from scratch | Tonic.ai
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Happy Halloween! Just like some of us who prefer a plant-based alternative that mimics the foods we no longer choose to indulge in, privacy-minded developers use?Tonic.ai?to get test data that looks, feels, (and tastes?) like the production data they no longer bring into their lower environments. Give yourself a Halloween treat you can feel good about and take a demo today! ?? https://lnkd.in/e43tMxm9
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Now on Google Cloud Marketplace. ??https://lnkd.in/eQkg_X-7 Tonic Textual helps enterprises leverage synthetic, de-identified data to drive AI innovation, all while keeping data privacy at the forefront. Whether you're building on Vertex AI or fine-tuning Gemini models, we have you covered. Check out the latest video from our new partnership with Google Cloud. #googlecloud #googlecloudpartners