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    Tonic.ai, Data Transformation Solutions

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    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

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    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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    Pricing

    Tonic.ai, Data Transformation Solutions

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    Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    12-month contract (4)

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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 Ephemeral
    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

    Vendor refund policy

    Tonic has a no-returns policy.

    Custom pricing options

    Request a private offer to receive a custom quote.

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    Usage information

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    Delivery details

    Software as a Service (SaaS)

    SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.

    Resources

    Support

    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.

    AWS infrastructure support

    AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

    Product comparison

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    Accolades

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    Top
    10
    In Masking/Tokenization, Software Development, Testing
    Top
    50
    In Cloud Financial Management
    Top
    10
    In Data Governance

    Customer reviews

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    Overview

     Info
    AI generated from product descriptions
    Structured Data Masking and Synthesis
    Native data connectors with consistent, secure data masking and synthesis that maintains data structure and ensures referential integrity across testing and development environments.
    Unstructured Data De-identification
    Proprietary Named Entity Recognition (NER) models that detect and redact or synthesize sensitive information in free-text data to generate compliant unstructured datasets.
    Data Subsetting and Isolation
    Patented subsetter functionality with capability to spin up isolated, ephemeral environments on demand for targeted dataset provisioning.
    AI-powered Synthetic Data Generation
    AI-driven platform capable of generating realistic synthetic data at scale from scratch based on schema, sample data, or natural language prompts, including fully relational databases with foreign keys intact.
    Domain-specific Dataset Engineering
    Schema-driven generation combined with seed-based synthesis and optional human-in-the-loop validation to create high-fidelity synthetic datasets tailored for specific domain requirements.
    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.

    Security credentials

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    Validated by AWS Marketplace
    FedRAMP
    GDPR
    HIPAA
    ISO/IEC 27001
    PCI DSS
    SOC 2 Type 2
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    Contract

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    Standard contract
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