Data Management
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Tonic Textual is the world's first secure data lakehouse designed specifically for large language models (LLMs). It provides AI-ready data with privacy at its core, enabling enterprises to extract, govern, enrich, and deploy their unstructured data for generative AI development efficiently. With Tonic Textual, users can build automated pipelines from their cloud-based unstructured data stores within minutes, transforming this data into structured formats that are ready for AI applications. The platform leverages proprietary Named Entity Recognition (NER) models to enrich data with high-quality metadata, improving the performance and accuracy of Retrieval-Augmented Generation (RAG) systems and other AI processes by going beyond mere vector similarity with customized entity tags. Additionally, Tonic Textual offers robust data protection features, allowing users to discover, tag, and redact sensitive entities to prevent model memorization and data leakage. The redacted data can be re-seeded with synthetic data to maintain semantic realism, ensuring that privacy is preserved without compromising data utility.
Tonic Textual seamlessly integrates with leading embedding models, vector databases, and AI developer platforms, facilitating downstream AI processes such as fine-tuning and pre-training machine learning models. The platform supports a wide range of file formats including .csv, .txt, .pdf, .docx, and more, making it versatile for various enterprise data needs. Available through AWS Marketplace, Google Cloud Platform Marketplace, and Snowflake Marketplace, Tonic Textual enables enterprises to activate their unstructured data wherever it is stored. By connecting, extracting, protecting, and transforming unstructured data, Tonic Textual empowers organizations to unlock the power of generative AI while safeguarding their most important data assets.
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Build automated data pipelines in minutes
Enrich data with high-quality metadata
Robust data protection and redaction
Integrates with leading embedding models
Supports multiple file formats
Enterprises can extract, govern, and deploy unstructured data efficiently.
Automate data pipelines from cloud-based unstructured data stores.
Improve AI processes with high-quality metadata and entity tags.
Protect sensitive data with robust redaction and synthetic data seeding.
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