.svg){kind=logo}
.svg)
Turbocharge product development, AI model training, and sales with synthetic data via agentic AI
Generate relationally intact databases for any domain to unblock development
Prototype, build, and test new applications and features with fully functional synthetic databases spun up in seconds, without the need for any pre-existing data or in-house domain expertise.
Create context-rich unstructured data to fuel AI initiatives
Accelerate AI model training with unstructured datasets generated on demand and seeded with realistic synthetic structured data tailored to your needs.
Get the data you want in the format you need
Spin up synthetic databases for Postgres, MySQL, Databricks, and Oracle, or export your data as JSON, PDF, DOCX, EML files, and more, to meet the needs of your testing and training workflows.
Ensure complete test coverage for JSON data structures
Automatically populate JSON columns and files with realistic, nested, and varied synthetic data, allowing you to thoroughly test every permutation and edge case of your application's data layer.
Uplevel sales demos and onboarding with tailor-made synthetic datasets
Hydrate your demo, onboarding, and training environments with realistic domain-specific datasets to capture your audience, showcase your product’s capabilities, and speed your customers’ success.
Add the Data Agent to your team and chat your way to synthetic data
Prompt
Chat with the Fabricate Data Agent to describe the data you need. Use natural language, paste in a schema, or provide sample data—no domain expertise necessary.
Generate and iterate
Watch the Data Agent create your data in real-time, then provide it with feedback to fine-tune the dataset to your needs.
Export
Export your data as a database in CSV, PostgreSQL, MySQL, and more, or as files, including PDFs, docx, and emails, to fill your data gaps in the formats you need.
Deliver
Integrate your synthetic datasets directly into your CI/CD pipelines to accelerate development, testing, and AI workflows with realistic, scalable data.
Frequently asked questions
Tonic Fabricate uses an AI agent to generate high-fidelity synthetic data by interpreting natural language prompts, uploaded schemas, or existing sample data. The agent creates relationally-consistent and domain-specific datasets from scratch, allowing users to fine-tune the output in real-time to ensure it accurately mimics the complexity of real-world information.
Tonic Fabricate is primarily used to generate realistic synthetic data from scratch using an AI agent to accelerate product development, software testing, and AI model training. It also allows teams to quickly spin up domain-specific datasets for high-fidelity sales demos and to prototype new applications or agentic workflows without the need for pre-existing production data.
Tonic Fabricate can generate relationally intact structured data for databases such as PostgreSQL, MySQL, and Oracle, as well as complex, nested JSON structures. Additionally, it creates unstructured free-text data that can be exported in various formats like PDF, DOCX, and EML files.
Because Fabricate generates entirely new synthetic records, no real personal or sensitive data is exposed. This helps organizations reduce risk and support compliance with regulations like GDPR, HIPAA, and internal security policies.
Unlike TDM tools that rely on data transformations like masking, Tonic Fabricate generates net-new synthetic data on demand via an AI agent and a chat UI. Fabricate users can upload an empty schema and tailor data generation to their needs.
Unlock the power of scalable synthetic data today
