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Platform engineering teams often face a persistent challenge: fast, reliable access to high-quality test data. Production data is restricted, masking is slow, and manual dataset creation becomes a bottleneck across development, testing, and AI workflows. Agentic AI now makes it possible to automate this entire process and deliver synthetic data on demand in the exact formats your teams need.

Join synthetic data expert Mark Brocato as he demonstrates how Tonic Fabricate removes data friction by generating realistic, structured synthetic test data automatically. See how platform teams can use this capability to support developers and AI practitioners with quick, compliant, and self-service access to data, exported directly into supported databases or delivered as JSON, PDFs, DOCX, EML, and more.What you'll learn during the webinar:

  • How to select the right approach to synthetic data: Compare rule-based synthesis, de-identification, and Agentic AI to determine which method best supports your platform and your teams.
  • How to generate highly realistic, nuanced data: Learn how Agentic AI creates complex test data for development and testing, significantly reducing the need for deep domain expertise.
  • Best practices and practical platform use cases: See how automated synthetic data fits into platform engineering responsibilities, including CI/CD pipelines, API mocking, developer self-service, test automation, and AI model development.

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Speaker:
**Mark Brocato - Head of Engineering for Fabricate @ Tonic.ai**

Mark Brocato is a software developer and entrepreneur best known as the founder of Mockaroo, one of the world’s leading synthetic data generators, launched in 2014. The idea for Mockaroo came while Mark was watching QA engineers struggle to test complex life science workflows at a startup called BioFortis, inspiring him to make realistic test data easier for everyone. With over two decades in software development, he’s built tools for developers at Sencha, Layer0, and beyond. In 2024, Mark launched Fabricate, the AI-powered synthetic data platform that was acquired by Tonic.ai in 2025, where Mark continues to lead its development. A Ruby, JavaScript, and Rust developer, he divides his time between Sparta, New Jersey, and Tallinn, Estonia.

Infrastructure as Code
PaaS (Platform as a Service)
Open Source
Software Engineering
DevOps

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