Tonic.ai Partners with Google Cloud for Privacy-Focused Synthetic Data Solutions Now on Marketplace
Tonic.ai’s platform enables customers to leverage their structured, semi-structured, and unstructured data managed in Google Cloud for privacy-compliant AI development.
Tonic.ai, the San Francisco-based company pioneering synthetic data solutions for software and AI developers, announced their availability on Google Cloud Marketplace. This move, part of Google Cloud’s ISV Startup Springboard program, also establishes Tonic.ai as a Google Cloud generative AI partner. The company offers a suite of data transformation and management products that make enterprise data usable for AI and software innovation to accelerate engineering velocity and safeguard data privacy.
“We’re excited to collaborate with Google Cloud to help our mutual customers overcome the acute data challenges that hinder AI initiatives from progressing beyond POC to production”
Tonic.ai’s availability on Google Cloud Marketplace lets users quickly deploy functional software packages that run on Google Cloud. Google Cloud Marketplace allows customers to easily start up a familiar software package with services like Compute Engine or Cloud Storage, with no manual configuration required.
As generative AI continues to transform industries, the demand for secure and compliant data has accelerated. Tonic.ai’s platform empowers organizations to create realistic, de-identified data that is safe for use with AI applications built on the Vertex AI platform or to fine-tune Gemini models. This collaboration addresses the growing demand for secure, privacy-compliant data, allowing AI teams to focus on building innovative models without the risks associated with leaking sensitive information.
“We’re excited to collaborate with Google Cloud to help our mutual customers overcome the acute data challenges that hinder AI initiatives from progressing beyond POC to production,” said Ian Coe, CEO & Founder of Tonic.ai. “Generative AI workflows have become the fastest-growing segment of our business. We are laser-focused on playing our part to accelerate a generationally important technological transformation and couldn’t have asked for a better partner than Google Cloud. Together, we are ensuring that enterprises can continue innovating and adopting generative AI while providing the utmost attention for the sanctity of their customer data.”
Key Features and Benefits:
- Enhanced data privacy: Tonic.ai enables organizations to create synthetic, de-identified data that preserves the utility of real data while ensuring privacy and compliance, allowing users to safely use their proprietary data with generative AI systems and in lower environments, while ensuring regulatory compliance and customer trust.
- Seamless functionality with Google Cloud AI: Tonic.ai’s solutions work with Google Cloud services like the Vertex AI platform and BigQuery, so that businesses can manage their data and build AI systems within a unified cloud environment. This seamless workflow enables enterprises to scale their generative AI projects efficiently.
- Streamlined availability: Tonic.ai’s availability on Google Cloud Marketplace streamlines the procurement process, allowing customers to leverage their existing Google Cloud commitments and budgets and use Tonic.ai’s solutions in their own Google Cloud environments.
“Bringing Tonic.ai to Google Cloud Marketplace will help customers quickly deploy, manage, and grow the synthetic data solutions on Google Cloud’s trusted, global infrastructure,” said Dai Vu, Managing Director, Marketplace & ISV GTM Programs at Google Cloud. “Tonic.ai can now securely scale and support customers on their digital transformation journeys.”
Tonic.ai was selected to participate in the Google Cloud ISV Startup Springboard program to help accelerate growth and innovation. To highlight the partnership, Google Cloud released a video showcasing how Tonic.ai’s synthetic data technology accelerates AI initiatives built on Google Cloud, making it easier for companies to manage and utilize data securely.
Also Read: The AI Landscape: Technology Stack and Challenges
[To share your insights with us as part of editorial or sponsored content, please write to psen@itechseries.com]
Comments are closed.