Tonic Textual is an all-in-one data platform designed to eliminate integration and privacy challenges ahead of RAG ingestion or LLM training.
Tonic.ai, a San Francisco-based company offering data synthesis solutions for software and AI developers, announced the launch of the world’s first secure data lakehouse for LLMs, Tonic Textual, to enable AI developers to seamlessly and securely leverage unstructured data for retrieval-augmented generation (RAG) systems and large language model (LLM) fine-tuning.
“AI data privacy is a challenge the Tonic.ai team is uniquely positioned to solve due to their deep experience building privacy-preserving synthetic data solutions,” said George Mathew, Managing Director at Insight Partners. “As enterprises make inroads implementing AI systems as the backbone of their operations, Tonic.ai has built an innovative product in Textual to supply secured data that protects customer information and enables organisations to leverage AI responsibly.”
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Tonic Textual is an all-in-one data platform designed to eliminate integration and privacy challenges ahead of RAG ingestion or LLM training—two of the biggest bottlenecks hindering enterprise AI adoption.
Leveraging its expertise in data management and realistic synthesis, Tonic.ai has developed a solution to tame and protect siloed, messy, and complex unstructured data into AI-ready formats ahead of embedding, fine-tuning, or vector database ingestion.
Using it, IT teams can build, schedule, and automate unstructured data pipelines that extract and transform data into a standardised format convenient for embedding, ingesting into a vector database, or pre-training and fine-tuning LLMs. Textual supports the leading formats for unstructured free-text data out-of-the-box, including TXT, PDF, CSV, TIFF, JPG, PNG, JSON, DOCX and XLSX.
