
Tonic.ai

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About
Tonic.ai provides a suite of AI tools that allow you to unlock data for the efficiency of organizations while guaranteeing privacy for entities and individuals. Tonic's products offer safe, realistic, and high-quality synthetic data for software and AI development, testing, and model training and streamline access to compliant, usable data. The product suite includes comprehensive solutions for data transformation, de-identification, and synthesis. It offers solutions for structured, unstructured, and ephemeral data, as well as evaluation and monitoring for RAG systems.
Platform
Task
Features
• synthetic data generation
• data tokenization
• data masking
• data de-identification
• data synthesis
• data obfuscation
• referential integrity
• data subsetting
FAQs
What are Tonic.ai’s products used for?
Tonic.ai’s products are used to generate safe, realistic, and high-quality synthetic data for software and AI development, testing, and model training, and to streamline access to compliant, usable data.
What industries does Tonic.ai serve?
Tonic.ai serves a wide range of industries, including finance, healthcare, insurance, telecom, e-commerce, and education.
Who are the founders of Tonic.ai?
Tonic.ai was founded by Ian Coe, Karl Hanson, Adam Kamor, and Andrew Colombi.
Is there a free trial of Tonic.ai’s products?
Yes. For a free trial of Tonic.ai’s products, please book a demo. Our team will set you up with a free trial during the demo call.
What is synthetic data?
Synthetic data is artificially generated data that mimics the structure, patterns, and relationships of real-world data, without containing any actual sensitive information.
What is synthetic data used for?
Synthetic data is used for a variety of purposes, including software testing, machine learning, analytics, and simulations.
What is meant by test data?
Test data refers to the data used during software development, testing, and quality assurance processes to validate that an application or system works correctly.
What is the difference between test data and synthetic data?
Test data and synthetic data are not mutually exclusive. Their key difference lies in their definitions and scope.
Is synthetic data better than test data?
Synthetic data is not inherently better than test data. In fact, depending upon the application, synthetic data is frequently used as a type of test data.
What are the different techniques for generating synthetic data?
Rule-based generation creates data following predefined patterns, while statistical methods mimic real data's properties like averages or correlations.
How do Tonic.ai’s products generate synthetic data?
Tonic.ai’s products Tonic Structural and Tonic Textual generate synthetic data via a number of approaches, including rules-based data generation and statistical methods.
Does synthetic data from Tonic.ai mimic real-world data patterns accurately?
Yes, synthetic data generated by Tonic.ai’s products accurately mimics real-world data patterns.
Why is data structure preservation important in synthetic data generation?
It's important to preserve data structure in synthetic data generation because it ensures the artificial data maintains the same format, relationships, and dependencies as the original data.
How is synthetic data used in AI or Large Language Models (LLMs)?
Synthetic data is used in AI and large language models (LLMs) to train, fine-tune, and validate models when real-world data is limited or sensitive.
What is data de-identification?
Data de-identification is the process of removing or altering personally identifiable information (PII) or other sensitive data to protect individual privacy.
Pricing Plans
Pay-as-you-go
$199.00 / per month• Comprehensive Generator Library
• Privacy Scan
• Cross-Table Consistency
• Schema Change Alerts
• Virtual Foreign Keys
• Concurrent Generations
• Subsetting with Referential Integrity
• Upsert w/o Schema Differences
• 2TB Source Data
• Unlimited Workspaces and Databases
Professional
Unknown Price• Comprehensive Generator Library
• Privacy Scan
• Cross-Table Consistency
• Schema Change Alerts
• Virtual Foreign Keys
• Concurrent Generations
• Subsetting with Referential Integrity
• Upsert w/o Schema Differences
• 10TB Source Data
• Unlimited Workspaces and Databases
Enterprise
Unknown Price• All Professional Features
• Unlimited Source Data
• SSO / SAML
• Custom Sensitivity Rules
Tonic Ephemeral
Unknown Price• On-demand database creation
• Rapid dataset duplication
• Seamless integration with Tonic Structural
• Easy data import
• Unlimited users
• Unlimited databases
• Comprehensive APIs for seamless automation
• Intuitive UI for manual database setup
• Built-in expiration timers
• Automatic shutdowns of unused databases
Tonic Textual
Unknown Price• Standardize, enrich, and secure your unstructured data for AI development
• Configure enterprise-grade unstructured data pre-processing pipelines in minutes
• Enrich vector stores with NER-powered entity metadata tags to improve RAG performance
• Automatic redaction and reversible tokenization of sensitive entities ensures privacy is maintained
• Optional synthetic data replacement helps maintain semantic realism of your data
• Use Textual pipelines directly in your existing workflows with Python SDK and REST API
Personal
Free Plan• 25+ native metrics for each component of your RAG stack
• GitHub Actions templates for easy CI/CD integration
• Integrate directly into your RAG workflows
• Supports Azure OpenAI, GPT-3.5, GPT-4, Gemini, Anthropic, and more
• Visualize granular changes in system performance over time
• Review retrieved context and LLM responses
• Build custom performance benchmark datasets
• Score RAG system performance on real production user queries
Job Opportunities
Sr. Product Marketing Manager
Tonic.ai provides a suite of AI tools that allow you to unlock data for organizations while guaranteeing privacy. It offers synthetic data generation, data masking, and test data management.
Benefits:
Competitive salary and equity
Unlimited paid time off
401k plan with employer contribution
Medical, dental, and vision insurance
Generous parental leave policy
Education Requirements:
Bachelor’s degree
Experience Requirements:
Minimum of 5 years of experience in product marketing, preferably in a PLG environment.
Proven track record of developing and executing successful marketing strategies in tech or SaaS companies.
Other Requirements:
Strong understanding of GenAI technologies and their application in data privacy and compliance.
Excellent analytical skills and ability to derive insights from data to drive decisions.
Outstanding communication and collaboration skills, with experience working alongside cross-functional teams.
Responsibilities:
Market expertise: Act as the subject matter expert for all marketing deliverables related to Tonic Textual, including blog posts, eBooks, and more.
Product messaging: Develop and maintain clear, compelling product messaging that resonates with our target audience, ensuring consistency across all channels.
Data analysis: Utilize key metrics such as user engagement, conversion rates, churn rate, CLTV, feature adoption rate, and NPS to inform and optimize marketing strategies.
Feature promotion: Collaborate closely with the product team to ensure that each feature launch meets the needs and desires of our audience, translating user feedback into actionable product insights.
Campaign management: Spearhead review-gathering campaigns, create engaging video scripts for ads, and conduct A/B testing to refine marketing approaches.
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Product Manager
Tonic.ai provides a suite of AI tools that allow you to unlock data for organizations while guaranteeing privacy. It offers synthetic data generation, data masking, and test data management.
Benefits:
Competitive salary and equity
Unlimited paid time off
401k plan with employer contribution
Medical, dental, and vision insurance
Generous parental leave policy
Experience Requirements:
3+ years of product management or other related technical experience for a B2B or B2D SaaS product.
Track record of developing customer empathy using interviews, surveys, design methods, especially for technical users in an enterprise.
Deep understanding of enterprise workflow solutions, complex multi-team software development organizations, and various user groups and stakeholders.
Other Requirements:
Strong technical acumen, with a solid understanding of some of the following: data lifecycle, databases, DevOps, dev tools, data science.
Ability to work independently on interdependent projects, collaborating across PMs and product areas.
Persuasive storytelling skills to communicate the roadmap to customers and engineers.
Bonus if you have experience in: data infrastructure, product-led growth, building for AI and RAG engineers.
Responsibilities:
Distill insights from customer interviews and market research into product capabilities, requirements, and roadmaps.
Own a product area from concept to development through customer value.
Build a strategy and communicate priorities to rally, focus, and align the product development team.
Articulate decisions using sound reasoning to balance bigger forward-looking platform-wide capabilities with current customer needs and team expertise.
Collaborate with marketing, sales and customer success to bring products and features to market.
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Enterprise Account Executive (UK)
Tonic.ai provides a suite of AI tools that allow you to unlock data for organizations while guaranteeing privacy. It offers synthetic data generation, data masking, and test data management.
Benefits:
Competitive salary and equity
Unlimited paid time off
401k plan with employer contribution
Medical, dental, and vision insurance
Generous parental leave policy
Education Requirements:
Bachelor’s degree
Experience Requirements:
Proven track record of success in B2B sales, with at least 5 years of experience in a similar role
Experience selling technical products in DevTools, DevOps, Security, MLOps, and similar markets
Other Requirements:
Confidence selling to leadership in AI, engineering, security, or similar technical VP/C level decision makers
CRM proficiency (we use Salesforce)
Strong written & verbal communication skills, and demonstrable confidence with technical topics
Curiosity and a willingness to learn quickly, work hard, and achieve the goals set by the team
Located in the United Kingdom
Responsibilities:
Source, nurture, and qualify new leads—and close new logos
Once landed at a large organization, drive expansion into new business areas and cross-selling products
Deliver killer product demos and presentations
Build long-standing relationships with high-potential customers
Lead negotiations and contract discussions
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