Tonic.ai
Summary
Tonic.ai is a synthetic data platform for software development, testing, and AI model training. Its suite includes Fabricate for generating synthetic data, Structural for transforming production data into test data, and Textual for working with unstructured data. Fabricate's Data Agent can generate relational databases and unstructured datasets through conversational prompts; the pricing page also lists mock APIs. Structural detects personal and health information, applies masking or synthesis while preserving relationships, and supports database subsetting with referential integrity. Textual offers automatic redaction, reversible tokenization, optional synthetic replacement, and Python SDK and REST API workflows. Listed sources include databases, data warehouses, Salesforce, and flat files; Textual supports formats such as PDF, DOCX, images, spreadsheets, and JSON. Tonic says employees do not access customer data and the platform does not store it, and cites least-privilege controls and an independently maintained SOC 2 report. Fabricate has a free plan and a Plus plan at 29.00 USD per month. Structural Professional is limited to 10TB of source data, 10 users, and two source types; Oracle and Db2 are Enterprise-only sources.
Who it is for
Tonic.ai suits engineering and AI teams preparing data for software development, testing, QA, or model training. Its product range may be relevant to teams working with structured databases as well as unstructured files.
What is good
- Fabricate generates relational and unstructured synthetic data
- Structural preserves relationships while masking or synthesizing data
- Textual includes redaction and reversible tokenization
- Listed integrations span databases, warehouses, Salesforce, and flat files
- Cloud and self-hosted deployment options are listed
What to know first
- Structural Professional is limited to 10TB of source data
- Structural Professional is limited to 10 users and two source types
- Oracle and Db2 are Enterprise-only sources
Verdict
Tonic.ai offers distinct tools for synthetic generation, production-data transformation, and unstructured-data handling. Review the Structural Professional caps and Enterprise-only source support if those affect your data workflows.
Tonic.ai plans and pricing
All plansCompared on synthetic data generation software
- Free plan
- Yestonic.ai
- Paid from
- $29/motonic.ai
- Data modalities
- relational databases, unstructured data, free text, PDFs, DOCX files, emails, JSON, mock APIstonic.ai
- Privacy technique
- bothtonic.ai
- Deployment options
- hybridtonic.ai
- API access
- Yestonic.ai
- Output formats
- CSV, JSON, XML, SQL, DOCX, EML, SML, SQLite, Avro, Iceberg, MongoDB, Parquet, Amazon S3, PostgreSQL, MySQL, Snowflake, Databrickstonic.ai
Facts
- What it does
- Tonic.ai describes itself as a synthetic data platform for safe, realistic data used in software development, testing, and AI model training.tonic.ai · 30 Sept 2026
- Product suite
- The platform includes Fabricate for generating synthetic data, Structural for transforming production data into test data, and Textual for redacting and synthesizing unstructured data.tonic.ai · 30 Sept 2026
- Fabricate
- Fabricate’s Data Agent can generate relational databases and unstructured datasets through conversational prompts, and the pricing page lists mock APIs as a feature.tonic.ai · 30 Sept 2026
- Structural
- Structural detects PII and PHI, applies masking and synthesis while preserving relationships, and supports database subsetting with referential integrity.tonic.ai · 30 Sept 2026
- Textual
- Textual supports automatic redaction, reversible tokenization, optional synthetic replacement, and Python SDK and REST API workflows.tonic.ai · 30 Sept 2026
- Integrations
- Listed integrations and sources include PostgreSQL, MySQL, MariaDB, SQL Server, MongoDB, Snowflake, BigQuery, Redshift, Databricks, Salesforce, and flat files.tonic.ai · 30 Sept 2026
- Textual formats
- Textual lists native support for TXT, DOCX, PDF, CSV, XLS, TIFF, PNG, JPEG, PPTX, PARQUET, HTML, XML, and JSON.tonic.ai · 30 Sept 2026
- Security
- Tonic says employees do not access customer data and the platform does not store it; its controls include least-privilege access and an independently maintained SOC 2 report.docs.tonic.ai · 30 Sept 2026
- Compliance
- The pricing page says SOC 2 Type II reports, HIPAA attestations, penetration test reports, DPAs, and enterprise BAAs are available or offered as described there.tonic.ai · 30 Sept 2026
- Support
- Fabricate Free support is via Discord, Plus support is via Discord and email, and Fabricate Enterprise includes dedicated customer support.tonic.ai · 30 Sept 2026
- Notable limits
- Structural Professional is limited to 10TB of source data, 10 users, and 2 source types, while Oracle and Db2 are marked Enterprise only in the listed supported sources.tonic.ai · 30 Sept 2026
- Who it is for
- Tonic says its products serve engineering and AI teams working on software development, testing, QA, and AI model training, including regulated industries.tonic.ai · 30 Sept 2026
- Company history
- Tonic.ai says it was founded in 2018 and acquired Fabricate in 2025.tonic.ai · 30 Sept 2026
Company
- Founded
- 2018tonic.ai · 23 Sept 2026
- Headquarters
- San Francisco, California, United Statestonic.ai · 23 Sept 2026
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Sources
- tonic.ai· checked 30 Sept 2026
- tonic.ai/pricing· checked 30 Sept 2026
- tonic.ai/products/tonic-structural· checked 30 Sept 2026
- docs.tonic.ai/trust-center· checked 30 Sept 2026
- tonic.ai/about· checked 30 Sept 2026