Ensure privacy and accelerate innovation on Google Cloud
Tonic.ai’s collaboration with Google Cloud empowers organizations to unlock the full potential of their data with secure, high-fidelity data de-identification and synthesis. Whether it's for software testing or building AI models, Tonic.ai ensures privacy and compliance without hampering innovation.
Accelerate AI development
Leverage Tonic.ai’s products to generate safe, de-identified data for AI model training on Vertex AI or fine-tune Gemini models. Customize models on your enterprise data without risking exposure of sensitive data.
Streamline software testing
Generate production-like synthetic data to hydrate lower environments with realistic test data. DevOps teams can safely scale testing and reduce release timelines using data that mirrors real-world complexities.
Ensure regulatory compliance
De-identify sensitive information across all your data while ensuring compliance with global data privacy regulations. Maintain data privacy while meeting legal standards, all within your own Google Cloud environment.
Improve RAG and LLM quality
Use Tonic.ai’s data transformation tools to enrich unstructured data for fine-tuning and pre-training large language models (LLMs). Enhance the accuracy of AI models with structured, contextually relevant synthetic data, keeping sensitive information protected.
Seamlessly integrate Tonic.ai into your Google Cloud workflows
Safeguard your data while driving innovation. With Tonic.ai’s data de-identification solutions integrated directly into Google Cloud services like Vertex AI and BigQuery, you can generate secure, production-like data for software and AI applications, all within your own Google Cloud environment.
"Organizations are moving from AI experimentation to building real-world applications. By leveraging Google Cloud’s leading infrastructure and advanced AI technology, Tonic.ai can help organizations deploy innovative AI use cases at scale."
Maximize your data’s potential on Google Cloud with Tonic.ai
