Diverse Applications of Tonic Structural Technology

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Tonic Structural technology was initially designed for providing de-identified or synthetic data for development and testing purposes. However, the same technology can be utilized for generating demo data sets for sales demos and de-identifying data in large data warehouses for safe analytics. While the primary focus remains on providing development and test data, the tool has organically evolved to cater to these secondary use cases, expanding the scope and application of the technology.

All robust technology platforms require testing to ensure that features work as intended. In many cases, tests require data, but getting access to valid and high quality test data is a common challenge, especially when the technology runs on sensitive data. Realistically mimicking data that would normally contain sensitive financial or personal information is not easy.

Tonic.ai was started in 2018 to provide developer tools to transform production data into safe testing data. Andrew Colombi is the CTO and Adam Kamor is the Head of Engineering at Tonic. They join the show to talk about creating realistic synthetic data, data de-identification, validating LLM RAG output, Tonic’s subsetting engine, and much more.

Full Disclosure: This episode is sponsored by Tonic.

Gregor Vand is a security-focused technologist, and is the founder and CTO of Mailpass. Previously, Gregor was a CTO across cybersecurity, cyber insurance and general software engineering companies. He has been based in Asia Pacific for almost a decade and can be found via his profile at vand.hk.