Tonic.ai Introduces World's First Secure Unstructured Data Lakehouse for LLMs

Tonic.ai, a pioneer in data synthesis solutions for software and AI developers, has announced the debut of Tonic Textual, the world's first secure data lakehouse designed specifically for large language models (LLMs). This novel platform allows AI developers to effortlessly and securely use unstructured data for retrieval-augmented generation (RAG) systems and LLM fine-tuning, solving two major obstacles in corporate AI adoption.

🚀It’s Launch Day for Tonic Textual! Say goodbye to the integration and privacy headaches of #generative AI.#Textual is the world’s first Secure Data Lakehouse for LLMs.

Extract, govern, enrich, and deploy your #unstructureddata for #AI.

Support us: https://t.co/WcCsAq5WUB pic.twitter.com/OZrWgrYo14

— Tonic.ai (@tonicfakedata) May 28, 2024

The Untapped Value of Unstructured Data

Enterprises are investing heavily in generative AI efforts, motivated by its revolutionary potential. However, efficient implementation of this technology necessitates the usage of proprietary data, which is frequently kept in disorganised unstructured formats across several file types and contains sensitive information about customers, workers, and company secrets. According to IDC, unstructured data accounts for about 90% of enterprise data, with organisations estimated to create up to 73,000 exabytes in 2023 alone. To be used for AI projects, this data must be pulled from siloed places and standardised, which takes up a significant amount of development work.