Tonic Textual
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Tonic Textual
Overview :
Tonic Textual is the world's first Secure Data Lakehouse designed specifically for Large Language Models (LLMs). It automates the process of extracting, governing, enriching, and deploying unstructured data from cloud storage, supporting the development of generative AI. The product emphasizes data privacy protection by utilizing its proprietary Named Entity Recognition (NER) model to automatically detect and de-identify sensitive information. Data synthesis is also employed to maintain the semantic integrity of the data. It supports various data formats and is available through AWS Marketplace, Google Cloud Marketplace, and Snowflake Marketplace.
Target Users :
Tonic Textual is designed for enterprises that need to develop and deploy generative AI, especially those with large amounts of unstructured data and a need for data privacy protection. It helps businesses quickly build production-grade pipelines for unstructured data, catering to data science, machine learning, and AI development teams.
Total Visits: 63.3K
Top Region: US(27.41%)
Website Views : 49.7K
Use Cases
Financial institutions leverage Tonic Textual to enhance data privacy compliance.
Healthcare organizations utilize the product to protect patient data and improve AI model performance.
Legal firms utilize Tonic Textual to manage sensitive documents and ensure data security.
Features
Automatically extracts unstructured data from cloud storage and converts it into AI-ready formats.
Enriches data using NER models, boosting RAG performance and accuracy.
Discovers, tags, and removes sensitive entities, protecting data from model memorization and leakage.
Integrates with leading embedding models, vector databases, and AI development platforms, supporting RAG and fine-tuning.
Provides real-time data protection by automatically detecting entities within text data and preventing privacy vulnerabilities.
Supports multiple file formats, activating and utilizing unstructured data stored within enterprises.
How to Use
Connect: Connect Tonic Textual to your enterprise data sources, supporting multiple file formats.
Extract: Use Tonic Textual's proprietary NER model to automatically extract named entities, create metadata, and knowledge graphs.
Enrich: Enhance data using NER models to improve the performance of RAG systems.
Govern: Discover, tag, and remove sensitive entities to protect data security.
Deploy: Integrate with embedding models, vector databases, and AI development platforms for RAG and fine-tuning.
Monitor: Real-time monitor data, automatically detecting and addressing potential privacy vulnerabilities.
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