T

Tonic

De-identification and synthetic data platform

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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About Tonic

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

Industries

Data & AnalyticsEnterprise SoftwareCybersecurity

Company Size

51-200

Company Stage

Series B

Total Funding

$46.9M

Headquarters

San Francisco, CA

Founded

2018

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What believers are saying

  • October 27, 2026 Carahsoft expands Tonic.ai into SEWP V, NASPO, and OMNIA.
  • March 19, 2026 Microsoft Fabric GA unlocks regulated enterprise AI workflows inside OneLake.
  • November 9, 2026 release added better PDF redaction and default V5 synthesis.

What critics are saying

  • Gretel, K2View, Informatica, and GenRocket crowd Tonic.ai's enterprise synthetic-data market.
  • October 2026 Fabricate pricing changes signal monetization pressure and customer sensitivity.
  • One platform outage or redaction failure destroys trust in HIPAA and government deployments.

What makes Tonic unique

  • October 2026 Carahsoft deal gives Tonic.ai direct access to public-sector procurement channels.
  • Tonic Fabricate, Structural, and Textual cover structured, semi-structured, and unstructured data.
  • November 2026 release notes show rapid product cadence across Fabricate, Structural, and Textual.

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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
$45M
$65M
$100M

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

6 month growth

0%

1 year growth

-3%

2 year growth

0%
GlobeNewswire
Oct 27th, 2026
Tonic.ai and Carahsoft partner to bring ai-native synthetic data to the Public Sector.

Tonic.ai and Carahsoft partner to bring ai-native synthetic data to the Public Sector. Partnership provides Government and enterprise teams on-demand access to safe, high-fidelity data for software and AI development. SAN FRANCISCO and RESTON, Va., Oct. 27, 2026 (GLOBE NEWSWIRE) - Tonic.ai, the synthetic data company, and Carahsoft Technology Corp., The Trusted Government IT Solutions Provider(R), today announced a partnership. Under the agreement, Carahsoft will serve as Tonic.ai's Master Government Aggregator(R), making the Tonic platform available to Public Sector organizations through Carahsoft's reseller partners and Solutions for Enterprise-Wide Procurement (SEWP V), Information Technology Enterprise Solutions - Software 2 (ITES-SW2), National Association of State Procurement Officials (NASPO) ValuePoint and OMNIA Partners contracts. Every enterprise and Government AI initiative depends on data that is both secure and usable. Yet teams often face challenges on both fronts: production data contains sensitive information that cannot be exposed, while the data needed to build and test new systems may not exist yet. Tonic.ai closes this gap with AI-native synthetic data generation, de-identification and data subsetting, enabling teams to build, test and train AI systems without putting sensitive data at risk. The Tonic platform gives engineering and AI teams the data they need across a range of workloads. Tonic Fabricate generates referentially intact synthetic data from plain-language prompts, Tonic Structural transforms sensitive production data into safe, high-fidelity test data and Tonic Textual redacts and synthesizes unstructured data for secure AI development and external release. Together, these products provide developers with realistic data for development, testing and AI model and agent training while protecting sensitive information and preserving data privacy. For Public Sector organizations modernizing with AI, the partnership helps address a critical barrier. Agencies can adopt synthetic data to accelerate development and strengthen their security posture while safeguarding the sensitive information they are entrusted to protect. Through Carahsoft, organizations can access Tonic.ai's solutions through the contract vehicles they already rely on. "Enterprise AI initiatives often hit the same wall: the data either isn't safe to use, or there isn't any at all," said David Watson, Director, Partners and Alliances at Tonic.ai. "Tonic.ai is fundamentally changing the way organizations think about AI development and security through a synthetic data platform approach. By combining Tonic.ai's advanced synthetic data platform with our unique go-to-market partnership with Carahsoft, we're alleviating the challenges enterprises and Government agencies face to securely develop and deploy AI." "Tonic.ai empowers agencies with secure, on-demand access to data for development, testing, redaction and release workflows, without risking sensitive information," said Alec Wyhs, Sales Director overseeing the Tonic.ai Team at Carahsoft. "By providing safe, high-fidelity synthetic data, Tonic.ai enables agencies to accelerate AI and software innovation. Together with our reseller partners, Carahsoft and Tonic.ai are helping Public Sector organizations advance modernization initiatives and AI development while maintaining the safeguards needed for sensitive data." Tonic.ai's solutions are available through Carahsoft's SEWP V contracts NNG15SC03B and NNG15SC27B, ITES-SW2 Contract W52P1J-20-D-0042, NASPO ValuePoint Master Agreement #AR2472 and OMNIA Partners Contract #R240303. For more information, contact the Carahsoft Team at (703) 871-8593 or [email protected]. Learn more about Tonic.ai's solutions here. About Tonic.ai Tonic.ai is the synthetic data platform that gives engineering teams on-demand production-like data for every workload, so they can test software and train AI safely without risking sensitive data exposure. Founded in 2018, Tonic.ai is trusted by thousands of developers worldwide at companies like eBay, UnitedHealth Group, Qualcomm, Commonwealth Bank, and Mercor. Learn more at www.tonic.ai, or follow @tonicfakedata on X and /tonicfakedata on LinkedIn. About Carahsoft's AI Portfolio Carahsoft's Artificial Intelligence (AI) Portfolio includes leading and emerging technology vendors who are enabling Government agencies and systems integrators to harness the power of AI and ultimately meet mission needs; from creating efficiencies within agencies to bolstering national security and defense. Supported by dedicated AI product specialists and an extensive ecosystem of resellers, integrators and service providers, we help organizations identify the right technology for unique environments and provide access to technology solutions through our broad portfolio of contract vehicles. Our AI portfolio spans solutions for AI Infrastructure, Generative and Agentic AI, Autonomous Systems & Robotics and more. Learn more about Carahsoft's AI Solutions for Government here. About Carahsoft Carahsoft Technology Corp. is The Trusted Government IT Solutions Provider, supporting Public Sector organizations across Federal, State and Local Government agencies and Education and Healthcare markets. As the Master Government Aggregator for our vendor partners, we deliver solutions for Artificial Intelligence, Cybersecurity, MultiCloud, DevSecOps, Customer Experience and Engagement, Open Source and more. Working with resellers, systems integrators and consultants, our sales and marketing teams provide industry leading IT products, services and training through hundreds of contract vehicles. Visit us at www.carahsoft.com.

CoinFea
Oct 9th, 2026
Google's $10M Spirit data deal sparks employee privacy concerns.

Google's $10M Spirit data deal sparks employee privacy concerns. Updated 2026/10/09 at 10:34 AM Google's proposed purchase of Spirit Airlines' internal records has sparked concerns about employee privacy and corporate data ownership. US lawmakers want stronger protections before the bankruptcy court approves the transaction. The dispute raises questions about companies selling workplace communications for artificial intelligence training. It also exposes gaps in privacy safeguards when businesses enter bankruptcy. US lawmakers demand employee privacy safeguards. More than 120 US lawmakers have challenged Google's $10 million offer for Spirit Airlines' internal data ahead of an October 14 hearing. Senator Elizabeth Warren and Representative Steven Horsford led the effort alongside 119 other lawmakers in an October 8 letter. The proposed transaction reportedly covers approximately 100 million emails and 500 million Microsoft Teams messages. It also includes payroll records, tax documents, timecards, and employment contracts. Lawmakers warned that certain files could contain medical information and requests for disability accommodations. The concerns extend to nearly 1,000 Spirit employees who lost their jobs in Las Vegas. Horsford argued that employees provided their information for workplace purposes, not for another company's AI development. Consequently, lawmakers want Google to exclude sensitive employee records and confidential safety reports. They also seek enforceable restrictions governing future data use. Google told Reuters that it does not intend to purchase employees' personal information. The company said independent reviewers would exclude identifying records or remove personal identifiers. Google outbid AI recruitment company Mercor, which offered $7.5 million in August. Spirit excluded passenger databases covering 97 million customers and hired Tonic.ai to sanitize the remaining information. However, court-appointed privacy ombudsman Lucy Thomson focused her favorable review on passenger information rather than employee records. Federal bankruptcy rules require privacy reviews to consider potential risks and benefits for consumers. Those provisions do not offer employees equivalent protections. AI training demand raises questions about data ownership. Lawmakers also questioned whether removing names provides sufficient protection against identifying individual workers. Their letter warned that AI systems can combine scattered information to reconstruct identities from supposedly anonymous records. The National Institute of Standards and Technology has similarly highlighted re-identification risks associated with de-identified datasets. Privacy organization EPIC also challenged the proposed transaction, arguing that removing identifiers cannot guarantee confidentiality. Meanwhile, France's data protection regulator, CNIL, says GDPR protections may apply when AI systems can reveal identifiable personal information. The dispute comes as technology companies seek corporate datasets to support increasingly sophisticated artificial intelligence systems. Grand View Research projects the AI training dataset market will grow from $3.9 billion in 2026 to $16.3 billion by 2033. That forecast represents annual growth of 22.6%. The broader debate also follows Meta's retreat from employee mouse and keystroke monitoring after workers challenged the proposal. Union leader Sara Nelson warned that Spirit's data sale could carry significant consequences for employees across different industries. The October 14 hearing will determine the transaction's immediate direction while testing how bankruptcy courts address workplace privacy and AI training.

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]]

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.

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