Tonic.ai
Tonic.ai makes data usable while treating data privacy as a human right. It provides privacy-preserving synthetic data, de-identification, redaction, subsetting, and data-generation tools for software development, testing, AI model training, and other regulated workloads.
At a Glance
- Enterprise software and engineering teams
- Healthcare and health technology
- Financial services and insurance
- Government and public-sector agencies
- +4 more
AI Tools by Tonic.ai
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Tonic.ai
Synthetic Data for Dev and Testing
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Latest News
Tonic.ai released its State of Data Privacy in AI Development report, finding privacy restrictions limit AI innovation for many organizations.
Tonic Textual became generally available for Microsoft Fabric.
Tonic.ai announced general availability of the Unstructured Data Catalog for Tonic Textual.
Tonic.ai achieved the AWS Generative AI Competency in infrastructure and data.
Products & Services
Conversational AI synthetic-data platform that generates realistic relational databases, unstructured datasets, documents, and mock APIs from scratch; includes the Fabricate Data Agent, automated workflows, exports, and API/MCP capabilities.
Structured and semi-structured test-data management platform for de-identification, subsetting, masking, synthesis, sensitive-data discovery, and referential-integrity-preserving datasets.
Unstructured-data redaction and synthesis platform for free text, documents, audio, support tickets, clinical notes, chat logs, and other files used in AI training, analytics, and regulated workflows.
Market Position
Tonic.ai positions itself as a comprehensive privacy-first synthetic-data platform spanning structured, semi-structured, and unstructured data, rather than only a database masking or generic LLM tool. Its differentiation is high-fidelity, relationship-preserving transformation and generation, enterprise governance, deployment flexibility, and dedicated workflows for testing, AI training, and regulated data. Its competitive set includes Synthesized.io, DataCebo/SDV, Gretel, Mostly AI, Hazy, Delphix, Informatica, and generic LLM-based data-generation tools.
Leadership
Founders
Ian Coe
Former early commercial-division member at Palantir Technologies, where he led data-integration teams, and former Tableau analytics leader focused on statistics and calculation language.
Karl Hanson
Former Palantir commercial-leadership team member responsible for early enterprise engagements and former Head of Deployments at Segovia, where he helped NGOs reach people in remote areas.
Andrew Colombi
Holds a PhD in Computer Science and Astrodynamics from the University of Illinois Urbana-Champaign; former Palantir engineering leader who launched its commercial sector and began the Foundry product.
Adam Kamor
Holds a PhD in Physics from Georgia Tech; worked at Microsoft and Kabbage on UI design and feature development, and at Tableau on analytics/calculation capabilities.
Executive Team
Ian Coe
Co-founder and CEO
Former Palantir commercial-division leader and Tableau analytics leader.
Karl Hanson
Co-founder and COO
Former Palantir commercial leader and Segovia Head of Deployments.
Board of Directors
Founding Story
Tonic.ai was started because its founders had repeatedly experienced the difficulty developers face obtaining safe, high-fidelity data for development and testing. The initial vision was to remove that data bottleneck through realistic structured-data de-identification and synthesis, while protecting individual privacy and preserving data utility.
Business Model
Revenue Model
Enterprise software subscriptions and usage-based synthetic-data generation. Fabricate combines monthly plans with included usage credits and pay-as-you-go additional usage; enterprise products are sold on custom contracts with cloud or self-hosted deployment options.
Pricing Tiers
$5 in monthly credits, basic exports, Discord support, Tonic Cloud deployment.
$25 in monthly credits, pay-as-you-go additional usage, basic exports, Discord and email support, Tonic Cloud deployment.
Custom/pooled usage, centralized billing, expanded exports, dedicated support, multiple workspaces with RBAC, SSO, and cloud or self-hosted deployment.
Up to 10TB source data, up to 10 users, two data-source types, unlimited workspaces/databases/generated data, cloud deployment, Tonic Auth or Google SSO.
Unlimited source data/users/data-source types, unlimited workspaces/databases/generated data, cloud or self-hosted deployment, RBAC, SSO/SAML.
Target Markets
- Enterprise software and engineering teams
- Healthcare and health technology
- Financial services and insurance
- Government and public-sector agencies
- Legal and compliance teams
- Logistics and e-commerce
- Application development and feature testing
- QA, regression testing, staging, and CI/CD
- AI/LLM model training and fine-tuning
- Reinforcement learning and AI-agent training
- RAG and secure AI application development
- Corporate operational-data de-identification for licensing or internal model development
- eBay
- Cigna
- American Express
- Volvo