“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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Tonic.ai reposted this
Explore how to build and evaluate Retrieval-Augmented-Generation (RAG) systems using #AzureAISearch, #AzureOpenAI, LlamaIndex, and Tonic.ai Validate. Learn how to: 1️⃣ Load your own data into Azure AI Search vector store 2️⃣ Configure multiple query engines and assess retrieval modes for best performance. 3️⃣ Navigate the Tonic Validate Web UI to investigate queries and continuously monitor production quality observability 🔗 Read the full blog here: https://lnkd.in/eAkJ4YCb Thanks for the inspiration, Joseph Ferrara, PhD and Jerry Liu!
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Wondering how to get your unstructured data into Pinecone without pushing sensitive information through, too? Our Senior AI Scientist Joseph Ferrara, PhD offers a step-by-step guide to de-identifying your #embeddings for safe, effective use and retrieval. Give the article a read then try it out for yourself with a free account of Tonic Textual. Everything you need is at the link below. 👇
Vector embeddings of text can reveal the original raw text. If you've ever wondered how to protect the privacy of your vector embeddings, check out this how to guide on creating de-identified embeddings with Tonic Textual and Pinecone. Tonic.ai x Pinecone
How to create de-identified embeddings with Tonic Textual & Pinecone | Blog | Tonic.a
tonic.ai
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Got a need for #developer speed? Samesies. Which is why we built a solution for rapid test data provisioning that can reap the performance benefits of several key Azure Services when deployed self-hosted. Our Senior Software Engineer Shaun Roberts sheds light on how it works and the velocity you stand to gain from deploying Tonic Ephemeral in Azure. ⏩ https://lnkd.in/giDUnhNb
Ephemeral data environments in Azure, leveraging the cloud | Blog | Tonic.a
tonic.ai
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We're proud to have the National Hockey League (NHL) as a customer. The battle will be legendary!!
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Nothing better than an engineer explaining how they use the tool they built to accelerate CI/CD workflows—especially when they built that tool for you to use, too. 🤗 Check out our very own Trey Briccetti as he explains the history behind Tonic Ephemeral, including how we spun up test databases prior to building Ephemeral and the velocity we're achieving now thanks to dogfooding our newest product. 👇
Speeding up CI/CD time can help in more ways than one, to name a few: - Better DX 🧑💻 - Decreased costs 💰 - Faster time to fix for bugs and customer issues ⏰ And the list goes on. In a new post on Tonic.ai’s blog I discuss how my team has helped re-shape a piece of our CI/CD pipeline using Tonic Ephemeral to drastically improve testing and deployment speed. If you’re interested in learning about how we went from deploying test databases in minutes to mere seconds, go check it out!
Saving CI/CD time with Ephemeral test databases | Blog | Tonic.a
tonic.ai
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Here at AI & Big Data Expo World Series in Santa Clara with Dell, Google, and IBM. Stop by and visit us at Booth 18!
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We’re live in the Snowflake #DevDay section at #SnowflakeSummit! Stop by Booth 2126 to chat about preparing and protecting your unstructured data for #AI.
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Tonic.ai reposted this
⏰ One hour to go until #SnowflakeDevDay. On today’s agenda: 🏆 Startup Challenge Finale 🔥 VC Fireside Chat 🗣️ Luminary talks from top names in the world of AI and apps 🧪 Hands-On Lab: Gen AI with Snowflake Cortex 🥾 Gen AI Bootcamp Plus more! The best part, there's still time to register for free to join us in San Francisco:
Snowflake Dev Day | San Francisco
snowflake.com
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Great to be featured alongside other great Snowflake Native Apps at the #SnowflakeSummit keynote yesterday! For those that missed the announcement: in strategic partnership with Snowflake, we're bringing the powerful text data protection capabilities of Tonic Textual directly to Snowflake AI/ML engineers, data practitioners, and developers. Starting today, you can use Tonic Textual natively in the Snowflake #DataCloud! If you're curious to learn more, read our press release on the launch here: https://lnkd.in/gWGYhxnJ Check us out on #SnowflakeMarketplace here: https://lnkd.in/gx8RE4Rw We'll be at Booth 2126 M at Snowflake's #DataCloudDevDay on June 6 in San Francisco! We'd love to meet you there to chat all things data privacy in AI! Register for a free pass here: https://lnkd.in/gW_9TdpR
Tonic.ai Launches Tonic Textual Snowflake Native App on Snowflake Marketplace
businesswire.com