Enhance the usability of sensitive production data for software and AI workflows with Tonic.ai’s native Databricks integrations.
Leverage the power of Tonic.ai’s data synthesis and de-identification solutions for structured and unstructured data within Databricks to tackle enterprise challenges like privacy, scalability, and data preparation.
Prepare, protect, and enrich unstructured data formats—like PDFs, Word docs, and JSON—for seamless use in AI workflows, powered by Tonic Textual and Databricks Agents Framework.
Train robust AI/ML models and fine-tune LLMs with secure, production-like synthetic data that retains statistical integrity while ensuring privacy compliance.
Use Tonic.ai’s synthetic data capabilities to create test environments that mimic production, driving faster releases and fewer defects without exposing sensitive information.
Implement privacy-preserving data practices across your Databricks Medallion Lakehouse layers—ensuring data safety from Bronze to Gold.
Accelerate your data workflows by embedding Tonic.ai into your Databricks environment. From de-identifying unstructured data for RAG and fine-tuning, to replicating entire Databricks environments for testing workflows, our native integration with Unity Catalog and Delta Tables ensures your data is protected and compliant without sacrificing usability.