Sold by: Tonic.ai
Deployed on AWS
Tonic.ai frees developers to build with safe, high-fidelity synthetic data to accelerate software and AI innovation while protecting data privacy. Through industry-leading agentic solutions for data synthesis, de-identification, and subsetting, our products enable on-demand access to realistic data and simulated worlds for development, testing, and AI model and agent training. The product suite includes Tonic Fabricate for synthetic data generation, Tonic Structural for test data management, and Tonic Textual for unstructured data redaction and synthesis, each equipped with built-in agents to streamline configuration. Unblock innovation, accelerate your engineering velocity, and ship better products, all while safeguarding data privacy.
Overview
This listing is for private offers only. Please reach out to our team at partnerships-aws@tonic.ai to learn more about our solutions and purchase a license.
Tonic Structural (for structured data) Tonic Structural is the AI-powered test data management platform for transforming sensitive production data into safe, high-fidelity test data that preserves your data's utility. Through its built-in AI agent and native data connectors, Structural accelerates consistent, secure data masking and synthesis that maintains your data's structure and ensures referential integrity across testing and development environments. By agentifying TDM, Structural turns hours of manual data configuration into minutes. Its patented subsetter equips your developers with targeted, isolated datasets to eliminate collisions in testing. Structural makes enterprise data usable for developers so you can leverage your data effectively to propel innovation.
Tonic Textual (for unstructured data) Tonic Textual enables teams to put unstructured data to use in AI development while safeguarding against sensitive leaks and ensuring regulatory compliance. Textual extracts free-text from wherever it's stored, detects sensitive information using proprietary NER models, and redacts or synthesizes that information to generate compliant unstructured datasets, ready for use in production or outside of your organization. Through its built-in AI agent, Textual lets you explore dataset contents, configure entity handling, and fine-tune synthesis outputs, replacing hours of manual configuration with a conversation. Use your data confidently in AI development, from internal RAG systems and model training to external partnerships.
Tonic Fabricate (for synthetic data from scratch) Tonic Fabricate makes generating realistic synthetic data across your entire data ecosystem as simple as asking for it. Within a single agent conversation, connect to live data sources to model from real-world databases, generate datasets from scratch, or combine approaches, creating multiple databases and file formats with referential integrity maintained throughout. Operationalize the results through automated workflows and mock APIs that slot directly into your pipelines. For complex schemas, Fabricate drafts a strategic generation plan giving you control over every step. With Fabricate, developers and AI engineers are free to innovate, unblocking product development, optimizing model and agent training, and accelerating time-to-market.
Benefits of Tonic's Data Platform
- Accelerate development and testing: Equip teams with safe, production-like data that speeds releases, powers demos, and eliminates bottlenecks.
- Fuel AI and analytics with confidence: Provide compliant, de-identified structured and unstructured data for training, evaluation, and RAG pipelines.
- Support every data need, end to end: From masking to full synthesis, Tonic ensures secure, realistic data across engineering, QA, and data science.
To learn more about our products, see a demo, or speak to a Tonic data protection specialist, please email us at partnerships-aws@tonic.ai .
Highlights
- Accelerate your engineering velocity and ensure regulatory compliance with structured data de-identification, subsetting, and synthesis that maintains referential integrity and equips developers with the high-fidelity test data they need.
- Unblock AI initiatives by securely leveraging your free-text data through efficient data redaction and realistic synthesis to achieve data privacy while optimizing internal RAG systems, model training, and LLM workflows.
- Fuel software development and AI innovation with realistic, scalable synthetic data generated from scratch in any format.
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Dimension | Description | Cost/12 months |
|---|---|---|
Tonic Structural | Tonic.ai's platform price varies according to data volumes and consumption needs. Listed prices are placeholders. Reach out to our sales team at hello@tonic.ai to get a custom private offer, based on your needs. | $1.00 |
Tonic Textual | Tonic.ai's platform price varies according to data volumes and consumption needs. Listed prices are placeholders. Reach out to our sales team at hello@tonic.ai to get a custom private offer, based on your needs. | $1.00 |
General Plan - Contact for Private Offer | Tonic.ai's platform price varies according to data volumes and consumption needs. Listed prices are placeholders. Reach out to our sales team at hello@tonic.ai to get a custom private offer, based on your needs. | $1.00 |
Dimensions summary
This listing offers three contract options, all priced through custom private offers rather than fixed rates. You can buy Tonic Structural, which de-identifies and synthesizes structured and semi-structured database data. You can buy Tonic Textual, which redacts and synthesizes sensitive information in unstructured text. The General Plan lets you contact the vendor for a private offer covering broader needs. All three price by data volume and consumption, so your cost scales with the amount of data you connect and process. Listed prices are placeholders; you reach out to the sales team to get pricing based on your needs.
Top-of-mind questions for buyers
Source data is the total size on disk of the data sources you connect to Tonic Structural, excluding logs and indexes. Pricing builds in volume discounts, so the incremental price per gigabyte drops as you connect more data. Contact the sales team for a custom offer based on your volume.
Tonic Textual bills by the number of words processed. Pricing scales sublinearly, so larger volumes of text cost less per unit. For annual engagements, the team scopes your estimated yearly needs and allocates a bank of words you draw from throughout the year.
Data volume and consumption drive your cost, not user counts. Tonic Structural prices by connected source data size. Tonic Textual prices by words processed. The General Plan covers broader needs, also scaled to volume. Each option bills independently through its own private offer based on what you use.
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Vendor support
Tonic will provide support directly to Customers, in accordance with Tonic's current Terms and Conditions. Tonic support is available weekdays from 9:00 AM to 5:00 PM Pacific Time, except on US federal holidays via support@tonic.ai . Our Customer Success team will respond to all requests within two business days. Premium support offerings include: one business day response time, Slack support, and a named Solution Architects for Technical Implementation help.
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Updated weekly
By Tonic.ai
By Granica
By BigID
Top
10
In Masking/Tokenization, Software Development, Testing
Top
50
In Cloud Financial Management
Top
10
In Data Governance
Sentiment is AI generated from actual customer reviews on AWS and G2
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AI generated from product descriptions
Structured Data Masking and Synthesis
AI-powered platform that transforms sensitive production data into safe, high-fidelity test data through automated data masking and synthesis while maintaining data structure and referential integrity across testing and development environments.
Unstructured Data Redaction and Synthesis
Proprietary Named Entity Recognition (NER) models that detect, redact, and synthesize sensitive information in free-text data to generate compliant unstructured datasets for AI development and external partnerships.
Intelligent Data Subsetting
Patented subsetter functionality that creates targeted, isolated datasets to eliminate collisions in testing and provide developers with focused data subsets for development purposes.
Synthetic Data Generation with Referential Integrity
Capability to generate realistic synthetic data across entire data ecosystems from scratch or by modeling from real-world databases, maintaining referential integrity across multiple databases and file formats.
Agentic Configuration and Automation
Built-in AI agents that streamline data transformation configuration, automate workflow operationalization through mock APIs, and enable conversational interfaces to replace manual setup processes.
Data Compression
Compresses data to reduce storage and compute costs by up to 60% while accelerating data pipelines.
Named Entity Recognition
Leverages advanced AI algorithms and compute-efficient scanning to deliver state-of-the-art accuracy for named-entity-recognition at scale.
Intelligent Dataset Selection
Selects high-impact datasets to enhance ML model performance and improve accuracy through objective optimization.
Privacy-Preserving Synthetic Data Generation
Generates statistically representative, privacy-preserving synthetic data to address data gaps and extend ML capabilities to data-scarce domains.
Data Governance and Compliance
Provides specialized data development environment to control runtime leaks, exposures, and mitigate compliance risks for responsible AI deployment.
Data Discovery and Classification
Automatically discovers and classifies all data and metadata across structured, unstructured, and semi-structured formats in multicloud, SaaS, IaaS, PaaS, and on-premises environments.
Data Security Posture Management
Identifies dark data, surfaces critical risks, and provides remediation capabilities for comprehensive data security posture assessment.
Zero Trust Access Governance
Implements least privileged access models with access governance controls to reduce insider risk and manage insider threats.
AI Data Security and Compliance
Enables AI-ready data security, privacy, and compliance automation to accelerate generative AI adoption while minimizing associated risks.
Data Privacy Management and Governance
Automates data privacy compliance, retention policies, and governance through data-driven automation with metadata enrichment and context management.
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