IBM Optim Data Privacy vs Tonic.ai

IBM Optim Data Privacy has no write-up on Specifiction yet; its figures are above.

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 redacting or synthesizing 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 and synthesis while preserving relationships, and supports database subsetting with referential integrity. Textual provides automatic redaction, reversible tokenization, optional synthetic replacement, and Python SDK and REST API workflows. Listed sources include PostgreSQL, MySQL, MariaDB, SQL Server, MongoDB, Snowflake, BigQuery, Redshift, Databricks, Salesforce, and flat files. Textual lists native support for formats such as PDF, DOCX, 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 offers a free plan and a Plus plan at $29 a month. Structural Professional is limited to 10TB of source data, 10 users, and two source types.