Tonic

Tonic

De-identification and synthetic data platform

About Tonic

Simplify's Rating
Why Tonic is rated
C+
Rated C on Competitive Edge
Rated B on Growth Potential
Rated C on Differentiation

Industries

Data & Analytics

Enterprise Software

Cybersecurity

Company Size

51-200

Company Stage

Series B

Total Funding

$46.9M

Headquarters

San Francisco, California

Founded

2018

Overview

Tonic.ai provides data management tools that automate data pipelines and protect privacy by de-identifying, subsetting, and synthesizing data for testing and development. It integrates with SQL, NoSQL databases, and data warehouses, allowing users to manage realistic demo data across their data stack without exposing sensitive information. The product works by connecting to an organization’s data sources, applying privacy-preserving transformations and data generation rules, and delivering usable test data through an API and tooling that fit into existing development workflows. Compared with competitors, Tonic.ai emphasizes end-to-end privacy and data realism within automated pipelines, offering tiered subscription plans that scale for startups up to large enterprises and align with developers, data scientists, and QA teams. Its goal is to help companies accelerate software releases while lowering privacy risk and reducing development time spent on data preparation.

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Simplify's Take

What believers are saying

  • Microsoft Fabric GA in March 2026 captures regulated enterprises on OneLake.
  • Snowflake Native App accesses 10,000+ customers via marketplace distribution.
  • $35M Series B from Insight Partners fuels 500% revenue growth expansion.

What critics are saying

  • Microsoft replaces Tonic Textual in Fabric next release within 12-24 months.
  • OpenAI ChatGPT Enterprise free API bypasses Tonic unstructured tools in 3-6 months.
  • Snowflake acquires Gretel.ai, bundling superior NER into Native Apps in 9-15 months.

What makes Tonic unique

  • Tonic Textual integrates entity detection and synthetic text generation directly in Microsoft Fabric.
  • Fabricate acquisition adds schema-first synthetic data for structured pipelines.
  • Named entity recognition excels at healthcare identifiers and financial PII detection.

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Funding

Total Funding

$46.9M

Below

Industry Average

Funded Over

4 Rounds

Notable Investors:
Series B funding is typically for startups that have proven their business model and need more funding to expand rapidly—often by entering new markets or adding more products. Investors are usually venture capital firms that specialize in later-stage investments.
Series B Funding Comparison
Meet Average

Industry standards

$35M
$35M
Tonic
$45M
Linktree
$65M
Substack
$100M
ClickUp

Benefits

Competitive salary and equity

Unlimited paid time off

401k plan with employer contribution

Medical, dental, and vision insurance

One Medical membership

Generous parental leave policy

Remote-friendly work environment

Growth & Insights and Company News

Headcount

6 month growth

-2%

1 year growth

0%

2 year growth

0%
AiThority
Mar 19th, 2026
Tonic.ai announces General Availability of Tonic Textual for Microsoft Fabric.

Tonic.ai announces General Availability of Tonic Textual for Microsoft Fabric. Privacy-protected, unstructured data now production-ready inside Microsoft Fabric. Tonic.ai, a leader in synthetic data solutions for AI development, announced the general availability of Tonic Textual for Microsoft Fabric, enabling enterprises to detect, sanitize, and prepare unstructured text data for AI and machine learning directly within Fabric. By bringing AI-powered entity detection, redaction, and high-fidelity synthetic text generation into the Fabric ecosystem, Tonic Textual makes sensitive documents, transcripts, and other unstructured text safe to use for production AI workflows while maintaining strong compliance and governance. With Fabric now widely adopted across global enterprises, Tonic Textual empowers data teams to transform sensitive text, from contracts and customer conversations to clinical notes and support transcripts, into privacy-protected, AI-ready datasets without moving data outside of the secure OneLake environment. "Enterprises have mountains of unstructured text data, but privacy and risk concerns create hesitancy around how to use them. With the GA of Tonic Textual in Microsoft Fabric, companies can finally operationalize their data for AI with confidence," said Adam Kamor, Co-founder and Head of Engineering at Tonic.ai. "This integration brings together world-class privacy tooling with the scale and governance of Fabric, giving teams the visibility, control, and speed they need to innovate." Unlocking value from unstructured data at enterprise scale Historically, unstructured data posed a significant barrier to downstream AI use cases due to the complexity of de-identifying sensitive entities like names, IDs, addresses, and healthcare identifiers. Manual or homegrown solutions are slow, error-prone, and difficult to scale, especially in regulated industries such as finance, healthcare, and government. Mar 19, 2026 Prev Next 1 of 42,687 "AI success depends on trusted, governed data, including unstructured text," said Dipti Borkar, Vice President and General Manager of Microsoft OneLake and Fabric ISVs. "AI capabilities in Fabric along with Tonic Textual together unlock backlogs of text and sensitive documents for AI development allowing organizations to move from experimentation to production of agentic workloads with confidence.The General Availability of Tonic Textual in Microsoft Fabric unlocks backlogs of text and sensitive documents for AI development allowing organizations to move from experimentation to production with confidence." With Tonic Textual for Microsoft Fabric, organizations can now: - Automate redaction and synthetic replacement of sensitive text directly inside Fabric. - Preserve compliance with HIPAA, GDPR, CCPA, and other regulatory frameworks. - Keep governance and security centralized within OneLake and the broader Fabric platform. - Scale AI workflows across analytics, RAG (retrieval-augmented generation), model training, and reporting. This integration brings powerful entity detection, customizable redaction policies, and high-fidelity synthetic text generation, all while enabling IT and compliance teams to enforce governance and lineage controls native to the Fabric ecosystem. Broad industry impact Organizations in regulated sectors are already leveraging Tonic Textual and Fabric to expand the footprint of trusted data across their AI initiatives. By unlocking secure access to previously untapped unstructured sources, such as sensitive notes, call center transcripts, and legal documents, enterprises can accelerate innovation without compromising privacy. Getting started Tonic Textual for Microsoft Fabric is generally available worldwide and can be added directly from the Workload Hub in the Microsoft Fabric console. Existing and new customers can begin operationalizing unstructured data for secure AI and analytics workflows today. [To share your insights with Aithority, please write to [email protected]]

The Associated Press
Mar 18th, 2026
Tonic.ai launches privacy tool for unstructured data in Microsoft Fabric

Tonic.ai has announced the general availability of Tonic Textual for Microsoft Fabric, enabling enterprises to detect, sanitize and prepare unstructured text data for AI and machine learning directly within Fabric. The integration allows organisations to transform sensitive documents, transcripts and clinical notes into privacy-protected datasets without moving data outside the secure OneLake environment. The solution automates redaction and synthetic replacement of sensitive text whilst preserving compliance with HIPAA, GDPR and CCPA frameworks. Organisations can now operationalise previously untapped unstructured sources, such as call centre transcripts and legal documents, for AI workflows. Founded in 2018, Tonic.ai provides synthetic data solutions for AI development and works with customers including Comcast, eBay and UnitedHealthcare. The integration is now available worldwide through the Workload Hub in Microsoft Fabric.

Techstrong Group, Inc.
May 1st, 2025
Tonic.ai product updates: May 2025

Tonic.ai has acquired Fabricate, the cutting-edge, schema-first synthetic data tool built by Mockaroo.

FinSMEs
Apr 22nd, 2025
Tonic.ai Acquires Fabricate for Expansion

Tonic.ai, a San Francisco-based platform for privacy-preserving data synthesis, has acquired Fabricate, a synthetic data generation product by Mockaroo. The deal amount was undisclosed. Mark Brocato, Fabricate's creator and Mockaroo CEO, will join Tonic.ai to lead product development. This acquisition enhances Tonic.ai's offerings, providing comprehensive synthetic data solutions for software and AI teams, supporting structured and unstructured data, and AI-ready data pipelines.

Securities.io
Apr 10th, 2025
How Fake Data Protects Real Users: The Value Of Synthetic Data

The Endless Thirst For More DataAs the world became more digitized, it started producing and requiring increasing amounts of data. This poses a problem, as said data is often associated with real people and real companies that might have serious privacy concerns.This has become an even bigger issue with the emergence of AI, which is able not just to do statistical analysis on batches of data but also to comb through and analyze the dataset in-depth at all levels, from an individual person to billions of numerical entries.Data is now so essential to the modern economy that demand for real, high-quality data has grown exponentially. At the same time, stricter data privacy rules and ever-larger AI models have made gathering and labeling real data increasingly difficult or impractical. – IBM ResearchThis is why synthetic data was invented as a solution. Those data replicate real-world data but do not contain any private data that could cause issues. They also can be modified and adapted to specific use cases, rare situations, or anything the statistician or tester using them might need.Here too, AI has been transformative

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