For developers and small teams with simple use cases who need to protect their sensitive data.
Adapt to changing business needs without overcommitting budgets.
The simplest and fastest way to generate highly realistic, privacy-preserving synthetic data that reflects production.
Access committed spend discounts and a customer success manager with an annual contract.
The complete, self-managed solution to enable consistent, unified compliance and streamlined productivity across the organization, including all of your data and use cases at scale.
The Pay-As-You-Go plan offers rapid access to our cloud offering of Tonic Structural, making it ideal for simple use cases and small data sizes. The plan entails a monthly credit card subscription that is billed automatically and includes up to 20 unique tables processed per month, as many times as you need. If you exceed 20 unique tables, we will issue a separate charge to your credit card on file at our on-demand table rate of $19 per table per month.
Each billing period, we count the number of unique tables that are processed across all generations (jobs), workspaces, and databases connected to Tonic. We only count tables that are processed by Tonic to the destination database. This includes:
We do not count tables without generators applied (”passthrough”) or those in Truncated mode.
Yes, we support the option to purchase a limited license for access to Subsetting only, in conjunction with Tonic Ephemeral.
Annual pricing for Tonic Structural is determined by the Plan you select and the amount of source data connected to Tonic. Source data is defined as the total size on disk of data sources connected to Tonic Structural, excluding logs and indexes. Our pricing model builds in volume discounts, so the incremental price per GB of source data decreases as you connect more data to Tonic Structural.
Tonic Structural is compatible with databases deployed on all major cloud providers, including AWS, Microsoft Azure, and GCP.
Yes, for Enterprise plan customers, we will sign Business Associate Agreements (BAA) and Data Processing Agreements (DPA). Tonic.ai is also SOC2 certified, GDPR compliant, and HIPAA compliant, and Tonic Cloud is an AWS Qualified Software.
For developers with simple use cases who need to spin up smaller datasets for early product development, prototyping, and testing.
For those looking to generate realistic, relational datasets to drive new product development where no data yet exists.
For organizations in need of a self-managed solution to augment their enterprise data strategy with streamlined databases synthesized 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 makes the data ideal for new product development, model training, and edge case testing.
No, you do not need any existing or sample data to begin generating data in Fabricate. You can start from a schema or use natural language prompts to define the data that you would like Fabricate to generate.
You can find the Fabricate product docs at this link: https://fabricate.mockaroo.com/docs.
Tonic Textual pricing is volume based. You will be charged based on what you use, defined as the number of words processed. Our pricing model scales sublinearly such that larger amounts of text are significantly discounted per unit. Contact us to receive a custom quote.
Yes, for annual engagements, we will work with you to scope your estimated needs for the year and allocate a bank of words that you are free to use throughout the year.
Our hosted cloud version of Tonic Textual is optimized for speed and performance and is the best option. Textual is also available for self-hosted deployments, as an AMI on the AWS Marketplace, or as a Snowflake Native App.
Tonic.ai’s solutions, bundled together to offer you savings and comprehensive use case coverage.
Generate synthetic data to hydrate development, test, and staging environments with realistic relational data and mock APls, on demand.
Get developers the data they need, when and where they need, it with targeted subsets sent directly to on-demand databases
Protect sensitive data in structured and unstructured formats with AI-powered data de-identification and synthesis.