Gretel
Synthetic data platform, now part of NVIDIA
Synthetic and de-identified test data for software and AI development
Tonic.ai is a synthetic data platform that generates realistic, privacy-safe test data and de-identifies sensitive information, with products for structured data, unstructured text, and on-demand synthetic datasets. It suits regulated enterprises needing production-like data without exposing real PII.
Tonic.ai helps teams work with realistic data without touching real sensitive records. Its platform mimics the structure and characteristics of production databases to produce safe, useful test data, and it de-identifies or synthesizes sensitive fields to maintain privacy and compliance. That lets engineering, QA, analytics, and data science teams build and test against production-like data while avoiding the legal and security risks of using actual customer information. The product suite covers several needs: Tonic Structural for test-data management across relational and semi-structured databases, Tonic Textual for redacting and synthesizing unstructured text (increasingly important for feeding LLM and RAG pipelines safely), Tonic Fabricate for conversational, agent-driven synthetic data generation, and Tonic Datasets for high-fidelity custom synthetic datasets delivered through a guided process. Together they address both the classic test-data problem and the newer need to prepare safe data for AI development. Tonic.ai is primarily an enterprise, sales-led product — most detailed pricing requires contacting sales — though Tonic Fabricate offers a usage-metered free tier to start generating data immediately. It is a strong fit for organizations in regulated industries that need compliant, production-like data at scale, while smaller teams or those with simple needs may find the enterprise orientation heavier than necessary.
Tonic.ai generates realistic, privacy-safe synthetic test data and de-identifies sensitive information, with a suite covering structured data, unstructured text, and on-demand datasets. It is enterprise-focused, with a free usage-metered tier via Tonic Fabricate.
Tonic.ai builds synthetic data and data de-identification solutions for software and AI development, serving engineering, analytics, and data science teams. It is well known in the test-data-management and synthetic-data space and increasingly positioned for AI data preparation.
The company sells primarily to enterprises and regulated industries, offering its products through its own platform as well as cloud marketplaces like AWS and Microsoft.
Tonic's suite includes Tonic Structural for relational and semi-structured test-data management, Tonic Textual for redacting and synthesizing unstructured text, Tonic Fabricate for conversational agent-driven synthetic data generation, and Tonic Datasets for guided high-fidelity synthetic datasets.
The platform preserves realistic structure and relationships while protecting sensitive fields, integrating with common databases and data warehouses, and adding enterprise security and governance controls.
Tonic.ai targets enterprise engineering, QA, analytics, and AI teams — especially in regulated industries like finance and healthcare — that need compliant, production-like data at scale. Smaller teams can start with Tonic Fabricate's free tier.
Developers, QA engineers, and data scientists using safe test data.
Engineering, data, and security leaders in enterprises.
Compliance, privacy, and platform teams.
Enterprises and regulated organizations that need realistic, privacy-safe test and AI data across structured and unstructured sources at scale.
Tonic.ai is a venture-backed company; verify funding details with the vendor or recent filings.
It generates realistic, privacy-safe synthetic test data and de-identifies sensitive information so teams can develop, test, and build AI on production-like data without exposing real PII.
Tonic Structural for test-data management, Tonic Textual for unstructured redaction and synthesis, Tonic Fabricate for conversational synthetic data, and Tonic Datasets for custom high-fidelity datasets.
Yes. Tonic Fabricate offers a free tier with roughly $5 in monthly usage credits so you can start generating data immediately.
Its core products are enterprise and sales-led, so most pricing requires contacting sales, while Tonic Fabricate uses usage-based credits with a free starting allotment.
Yes. Tonic Textual redacts and synthesizes unstructured text for safe use in LLM and RAG pipelines, and synthetic datasets support model development without real sensitive data.
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