WhatAI Tonic.ai Forum Discussions
Tonic.ai is a synthetic data platform for software development, testing, and AI workflows. Tonic Fabricate generates relational databases, files, and mock APIs from prompts or connected schemas. Tonic Structural discovers and transforms sensitive structured production data while preserving relationships and enabling coherent subsets. Tonic Textual detects, redacts, tokenizes, or synthesizes sensitive entities in unstructured text, documents, images, and audio. Teams can use hosted cloud services, APIs and SDKs, or selected self-hosted deployment options, depending on product and plan.
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Tonic.ai generates realistic fake data for testing so your production database never goes near your dev environment
If you work with production data in development and testing environments you already know this is a problem. Real customer records, real PII, real financial data sitting in environments with looser ac...
Tonic Textual redacts PII from unstructured text and logs and that was the gap our data pipeline had
Round 1 of this topic mostly covered Tonic Structural for database de-identification. I want to write about Tonic Textual specifically because it addresses a different and in some ways harder problem....
Tonic's Fabricate Data Agent generating complex hyper-realistic synthetic data from natural language descriptions changes what test data looks like
The Tonic Fabricate Data Agent introduction https://www.youtube.com/watch?v=vzeJTQOOF9I covers an AI-driven tool for generating synthetic data that is worth understanding as more than just a data mask...
Tonic generating real fake data that solves the 40-50% of developers using production data in pre-production environments
The Tonic synthetic data platform overview https://www.youtube.com/watch?v=6xf2OnVqZPE leads with the statistic that 40 to 50 percent of developers use real production data in pre-production environme...
How does Tonic.ai actually work for creating safe test data from a production database?
We are a healthcare software company and one of our persistent challenges is that our developers and QA team need realistic test data but we cannot use actual patient data in non-production environmen...
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