Tonic.ai product updates: May 2025

We're excited to share the latest updates and announcements designed to improve your experience with our products. This month's issue includes:

• Audio Synthesis for Tonic Textual 🔊
• Streamlined access to Ephemeral databases ⏩
• Structural support for Kubernetes file mount 🚠
• Okta SSO on Structural Cloud and Textual Cloud 🔏
• RBAC and collaboration on Textual 🤝

But first, we’ve got exciting news…

Tonic.ai has acquired Fabricate, the cutting-edge, schema-first synthetic data tool built by Mockaroo

No production data? No problem. We’re excited to introduce the newest addition to our product portfolio, Tonic Fabricate, which generates synthetic relational data—from scratch.

Fabricate is purpose-built for greenfield product development, where production data is inexistent, limited, or otherwise inaccessible. It enables developers to create fully relational, realistic databases from scratch using a schema, sample data, or natural language. Behind the scenes LLMs interpret and translate these inputs into intelligent data generation. This addition strengthens Tonic.ai’s support for new product development, model training, and edge case testing.

As part of the acquisition, we’re pleased to welcome Mark Brocato, Founder and CEO of Mockaroo, and the Fabricate team to Tonic.ai. By folding Fabricate into our product suite, Tonic.ai now offers the most comprehensive synthetic data solutions on the market, allowing teams to choose their flavor of synthetic data generation. Book a demo today to get set up with a free account.

Audio Synthesis for Tonic Textual 🔊

We’re excited to unveil Audio Synthesis for Textual: privacy-sensitive audio transcription! Seamlessly convert audio files—such as medical dictations, interviews, or call center recordings—into written, automatically redacted transcripts using a built-in API endpoint or the Textual SDK.

Simply upload your audio and instantly generate a timestamped transcript, automatically parsed and encoded in JSON—making your audio data both useful and protected. Whether you're working with personal healthcare information (PHI) or customer calls containing sensitive account information, Textual makes it easier than ever to unlock the value and secure the privacy of your audio content. Take it for a spin with a free trial account of Textual, and let us know what you think.

Streamlined access to Ephemeral databases ⏩

Tonic Ephemeral is all about faster developer enablement. Need to automate developer database creation in CI/CD pipelines? Trigger ephemeral databases. Want an ad hoc, isolated, de-identified, and subsetted dataset? Spin one up on demand.

Now, accessing Tonic Ephemeral cloud databases is even faster and easier—connect directly via DNS, no SSH bastion required. Plus, organizations can configure an IP allowlist to ensure secure access.

It’s one more way we’re removing friction and delivering speed to meet every developer’s needs. Get started with a free trial account of Ephemeral today.

Structural support for Kubernetes file mount 🚠

Tonic Structural can now de-identify files mounted on the container and output the results to AWS S3 buckets. The workflow is similar to other uses of Structural’s file connector, except that it points Structural to a directory mounted on the local Kubernetes pod, to de-identify files located there instead. This offers yet another streamlined way to leverage the file connector for realistic, secure data de-identification for all of your files containing sensitive information.

We designed this new capability for several customers with massive-scale needs, ensuring that optimal performance is baked right into the workflow. This feature is currently available for self-hosted instances of Tonic Structural; book a demo to learn more.

Okta SSO on Structural Cloud and Textual Cloud 🔏

Okta SSO users can now add Tonic Structural Cloud and Tonic Textual Cloud to their connected apps, thanks to new Okta integrations released for the cloud versions of our data de-identification platforms. Set up Okta as your SSO provider on Structural or Textual to strengthen your security posture and streamline access to the Tonic.ai platforms you know and love. Okta is the latest integration that we’ve added to our growing list of available SSO providers. Got Okta? Follow the steps in our docs to get connected today.

RBAC and collaboration on Textual 🤝

Admins in Tonic Textual now have full flexibility to manage user access across teams with both built-in and fully customizable permission sets. Leverage built-in roles for quick setup, create custom roles tailored to your workflows, and assign SSO users and user groups to any permission set.

But it gets even better: users can now collaborate by sharing pipeline and dataset projects directly within Textual, allowing you to share work across teams while maintaining full control over who can view, edit, or manage each asset. Wins across the board for security, customization, and collaboration.

Small updates; big impacts

Often it's the little things that matter most. Here's a round up of our smaller releases:

• Product docs for the Tonic Textual Rest API recently went live for your reading pleasure! In case you’ve been thinking of giving the API a call, here’s the nudge you need.
• On Tonic Structural’s workspace details view, the new Advanced Workspace Overrides section allows you to override environment setting values for that workspace. It includes the existing statistics seed setting, as well as settings for data generation performance and, where supported, whether to have Structural create the destination database schema. Another feather in the hat of customized data generation.
• Our MySQL connector on Tonic Structural has a flurry of Spring releases:
  • First, the Data Pipeline V2 generation process is now enabled, enhancing the performance of data generation for MySQL workspaces.
  • Second, you can now configure whether to provide your own destination database schema for MySQL workspaces—or as we like to say: BYOS (Bring Your Own Schema) to the destination party.
  • Lastly, you can provide custom names for destination schemas, because who doesn’t love a good naming exercise?
• For Databricks workspaces on Tonic Structural, you can now specify a list of source schemas to include. When you specify multiple source schemas, Structural automatically creates the same schemas in the destination database.
• Tonic Textual’s Named-entity Recognition model now includes the Password entity type, to streamline detecting and redacting passwords in your free-text data.
• And last but certainly not least, you can now achieve greater consistency across data transformations between Textual and Structural. Simply provide the same statistics seed value in both platforms to enable you to ensure that synthesized values for supported generators in Textual match corresponding generated values in Structural.

As always, we'd love to hear your feedback on our products. What do you need? What do you love? What could be better? Send us a note at hello@tonic.ai! And for all the latest updates, be sure to check out our complete release notes.