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Boomi, a leading integration platform that connects applications and automates workflows, launched an ambitious initiative to put AI agents at the center of its business processes. Leadership challenged the entire company to become citizen developers, building AI-driven solutions on real business data. But the initiative hit a wall: there was no safe, reliable way to give employees realistic data for testing and proof of concepts. By implementing Tonic Structural, Boomi successfully provided 2,000 employees with secure access to a synthetic Snowflake environment, turning a data access bottleneck into a streamlined pipeline for enterprise-wide AI innovation.

Wellthy, one of the fastest-growing digital healthcare companies in America, was looking to expand their generative AI capabilities but faced challenges due to limited access to realistic data for testing and training. They found the solution they needed with Tonic Textual, enabling them to effectively desensitize their data for secure AI development. The features they've developed using Textual-generated data have helped streamline their in-app messaging workflows and improve their testing environments, leading to better experiences for their members.

Ontra is the leader in AI-powered solutions for the private markets. Its AI automates critical private market workflows across the fund lifecycle, enabling firms to accelerate contracts, streamline compliance, and automate entity management. To reinforce its dominant leadership position in the space, Ontra is investing heavily in AI, building purpose-built solutions powered by both commercial LLMs and proprietary models. At the core of this effort is a commitment to protect customer data while ensuring the scalability and velocity of AI development. Tonic Textual has become a foundational part of this strategy by helping Ontra to consistently de-identify and synthesize both structured and unstructured data for safe, scalable AI innovation.

[ORGANIZATION] was unable to pursue AI innovations in the tax solutions they offer their clients due to the sensitive nature of the data those workflows would need to access. By deploying Tonic Textual as a privacy layer within LLM workflows to prevent sensitive data from leaking into data models or cloud environments, they unblocked the development of solutions to optimize the efficiency and precision of their services. Tonic Textual enables [ORGANIZATION] to securely handle all of their data through industry-leading accuracy in sensitive data detection and realistic data synthesis, opening the doors to innovation and a stronger competitive edge.
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Patterson Dental, a division of Patterson Companies (NASDAQ: PDCO), a global organization with 7,600 employees, required high-quality, de-identified, production-like data to utilize for performance and functional testing for its dental provider platforms. The company’s goals included evaluating whether its systems could manage real-world scenarios, identify performance bottlenecks, and reproduce and debug production issues in test environments. By incorporating Tonic Structural into its test data pipeline, Patterson Dental delivered automation, improved debugging efficiency, and enabled its team to focus on delivering a faster, more reliable product for users—all while striving to ensure protected health information (PHI) remained securely out of developer workflows.

Paytient seamlessly integrated Tonic Cloud into their workflows for a fraction of the cost of building or hosting a similar platform themselves, saving their developers hundreds of hours and achieving 3.7x ROI. Tonic Cloud provides their global engineering workforce with quick access to production-like data to test, debug, and assist their product support team while keeping their customers’ information secure.