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Tonic AI tonic.ai
Research Team Data Active
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Summary Synthetic data and data de-identification platform for software development, testing, and AI model training.
Description Tonic.ai is a private synthetic data company founded in 2018 and headquartered in San Francisco, California. Public evidence indicates it offers productized software for synthetic data generation, test-data de-identification, and unstructured-data redaction/synthesis for AI model training and LLM workflows. The company’s public pricing page shows self-serve and enterprise plans across Tonic Fabricate, Tonic Structural, and Tonic Textual, with enterprise features such as RBAC, SSO/SAML, REST API, webhooks, self-hosted deployment, and trust-center documents including SOC 2 and HIPAA materials. The company also reports a Series B funding round and public case studies/customer references in regulated and enterprise environments.
Positioning Synthetic data platform for software and AI development, test data management, and privacy-preserving unstructured data processing.
HQ location San Francisco, California, United States
Founded 2018
Employee range 51-200
Funding stage Series B
Company type Private
Pricing model custom quote, subscription, usage based
Revenue estimate Unknown
Valuation estimate Unknown
Investments Tonic.ai publicly stated it raised a $35M Series B in 2021, led by Insight Partners, with participation from other investors. Earlier company materials indicate seed and Series A funding prior to that round.
Target customers Enterprise engineering, data, security, and AI teams that need privacy-preserving test data, synthetic data, or de-identified unstructured data.
Key competitors Synthesized, Mostly AI, Gretel, Hazy, YData, Tonic-adjacent test-data and data masking vendors, and broader data governance/privacy tooling.
Known customers Publicly referenced customers include eBay, Flexport, Wellthy, Patterson Companies, Paytient, Alegeus, Hone, Pax8, Everlywell, and Bluedrop, based on case studies and testimonials on tonic.ai.
Segments AI Workflows, Knowledge & RAG, AI Quality & Observability, AI Governance & Risk, Analytics & BI
Industries Healthcare, Insurance, Financial Services, Legal / RegTech, Customer Support / CX, General Purpose