Tonic.ai

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 turning production data into test data, and Textual for redacting or synthesizing unstructured data. Fabricate’s Data Agent can create relational databases and unstructured datasets from conversational prompts; its pricing page also lists mock APIs. Structural detects personal and health information, applies masking and 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 including documents, images, spreadsheets, and JSON. Tonic says employees do not access customer data and that the platform does not store it; its controls include least-privilege access and an independently maintained SOC 2 report. Fabricate has a free plan and a Plus plan at $29 a month. Structural Professional is limited to 10TB of source data, 10 users, and two data source types; Oracle and Db2 are listed as Enterprise only.

Tonic.ai offers separate tools for synthetic generation, production-data transformation, and unstructured-data processing. Compare the suite’s plan limits, source support, and deployment options with your team’s needs.

Tonic.ai is aimed at engineering and AI teams working on software development, testing, QA, and model training, including teams in regulated industries. The suite covers both structured databases and unstructured content.

Tonic.ai is a synthetic-data suite for engineering, QA, and AI teams that need realistic database and document data without depending entirely on live records. It is best suited to organizations combining development, testing, and model-training workflows, particularly in regulated environments. Its broad coverage is persuasive, but smaller teams may find the custom enterprise tiers and usage limits disproportionate.

Overview

Founded in 2018 and headquartered in San Francisco, Tonic.ai offers Fabricate for generating new data, Structural for transforming production data, and Textual for processing unstructured content. The company acquired Fabricate in 2025. Deployment spans Tonic Cloud, self-hosted installations, and API use, giving security-conscious teams more control than a web-only generator.

Key features

Fabricate

Fabricate’s Data Agent creates relational databases and unstructured datasets from conversational prompts, while mock API generation supports teams that need realistic endpoints for application testing. The approach is practical for quickly producing varied test or training data, although included usage is credit-based on the lower plans and additional Plus usage is pay-as-you-go.

Structural

Structural detects personally identifiable and health information, then masks or synthesizes it while preserving relationships. Subsetting with referential integrity produces smaller, coherent copies of production databases rather than disconnected table fragments. Professional allows up to 10TB of source data, 10 users, and two source types; exceeding any one of those ceilings requires Enterprise. Oracle and Db2 require Enterprise among the supported sources.

Textual and connectivity

Textual adds automatic redaction, reversible tokenization, and optional synthetic replacement for free text and documents. Python SDK and REST API workflows suit automated pipelines. Native formats include TXT, DOCX, PDF, CSV, XLS, TIFF, PNG, JPEG, PPTX, PARQUET, HTML, XML, and JSON. Sources and integrations include PostgreSQL, MySQL, MariaDB, SQL Server, MongoDB, Snowflake, BigQuery, Redshift, Databricks, Salesforce, and flat files. Output can be delivered as CSV, JSON, XML, SQL, DOCX, EML, SML, SQLite, Avro, Iceberg, MongoDB, Parquet, Amazon S3, PostgreSQL, MySQL, Snowflake, or Databricks.

Tonic says employees do not access customer data and that the platform does not store it. Least-privilege controls, an independently maintained SOC 2 report, SOC 2 Type II reports, HIPAA attestations, penetration-test reports, DPAs, and enterprise BAAs support regulated deployments.

Pricing

Fabricate Free’s $5 allowance is useful for a first evaluation, while Plus’s $25 credit pool means the $29 subscription does not cover unlimited generation. Enterprise is the only Fabricate tier with pooled usage, SSO, RBAC workspaces, and expanded exports. Structural Professional is affordable only in scope, not published price: its hard caps can force an enterprise negotiation early. Textual’s word-based billing fits bursty workloads, but a quote is required to know the actual rate.

Platforms

Tonic.ai supports API, web, and self-hosted operation. Hybrid deployment, SDK and REST access, and broad database, file, and cloud outputs make it suitable for pipelines that cannot remain entirely in a browser.

Who it's for

Choose Tonic.ai when engineering or AI teams need both relational and unstructured synthetic data, production-data de-identification, or document redaction. Its privacy controls and enterprise attestations are particularly relevant to regulated industries. A small project needing only occasional tabular generation may be better served by a simpler free tool.

Pros and cons

• Pro: Fabricate, Structural, and Textual cover generation, transformation, and document processing in one suite.
• Pro: Referential-integrity subsetting preserves usable database relationships.
• Pro: Self-hosting, RBAC, SSO, and compliance materials support controlled environments.
• Con: Fabricate Free and Plus are credit-limited, with extra Plus usage billed separately.
• Con: Structural Professional’s 10TB, 10-user, and two-source limits can be restrictive.
• Con: Structural, Textual, and Enterprise pricing requires a quote.

Alternatives

SDV Enterprise is a better starting point for teams wanting a no-cost community tier with five data types, five basic constraints, nine models, CSV and Excel support, and forum support across desktop and self-hosted platforms. Pick Synth Studio when a free, MIT-licensed tool with up to 1 million generated rows is sufficient. SynthEngyne suits users who prefer monthly credits, including text, tabular, time-series, and image generation. SynthForge IO is an option for web users needing a free first 20,000 rows per dataset. Synthetic AI Data offers a freemium entry point with API, web, and self-hosted access. Tabularis.AI fits teams seeking credit-based API or self-hosted plans. Simudyne Pulse targets cached financial simulations rather than a broad synthetic-data suite. NVIDIA ShadowPlay is a free Windows utility, not a comparable synthetic-data platform.

Verdict

Tonic.ai is a strong choice for engineering and AI organizations that need one governed platform for synthetic databases, de-identified production subsets, and unstructured documents. Its main advantage is breadth with API and self-hosted deployment; look elsewhere if your workload is narrow, your budget depends on generous free quotas, or Structural’s Professional limits do not cover your data estate.