How does Tonic Fabricate create realistic synthetic data?
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.
What is Tonic Fabricate used for?
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.
What types of data can Tonic Fabricate generate?
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.
How does Tonic Fabricate support data privacy and compliance?
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.
