Textual's proprietary NER models automatically identify entities in text data to prevent potential privacy vulnerabilities in AI development. It can de-identify any sensitive entities it detects via redaction or LLM synthesis. The platform supports all data formats and is available via the AWS Marketplace, Google Cloud Marketplace, or Snowflake Marketplace. It aims to unlock the power of generative AI while safeguarding the most important data.
Key takeaways:
- Tonic Textual is the world’s first Secure Data Lakehouse for LLMs that allows you to extract, govern, enrich, and deploy your unstructured data for generative AI development.
- It provides automated pipelines to extract, structure, and standardize unstructured data into AI-ready formats from your cloud unstructured data stores in minutes.
- Textual’s NER models can enrich your data with high-quality metadata and can also identify and redact sensitive entities to safeguard your data from model memorization and leakage.
- Tonic Textual can be procured via the AWS Marketplace, Google Cloud Marketplace, or Snowflake Marketplace and supports all your data formats, allowing you to activate unstructured enterprise data however and wherever it’s stored.