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DataFog

DataFog provides an open-source runtime enforcement plane for AI agents and developer tooling. It detects, redacts, and enforces data policies directly at the command line interface. This ensures sensitive information is protected before being processed by AI models or human operators.

San Francisco, United StatesFounded 20232100+ followers
Updated 4 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Product

Problem

Organizations struggle to efficiently identify and manage sensitive information within unstructured documents, leading to potential privacy violations and compliance issues. Manual document review is time-consuming and prone to errors, especially when dealing with large volumes of files in various formats. Traditional keyword searches often miss contextual or semantic matches, hindering effective information retrieval.

Solution

DataFog is an open-source platform that leverages text extraction and vision-language models to analyze unstructured documents and identify personally identifiable information (PII). The platform annotates, anonymizes, or redacts sensitive data to protect privacy and ensure compliance. By encoding document features into mathematical patterns, DataFog enables semantic matching, allowing users to find relevant information based on meaning rather than just keywords. This approach significantly reduces the time spent on manual information retrieval and enhances document search capabilities across various file formats.

Target Audience

DataFog targets organizations that handle large volumes of unstructured documents containing sensitive information, including healthcare providers, legal firms, and government agencies.

Features

  • AI-powered document intelligence using text extraction and vision-language models
  • Semantic search capabilities to identify matches based on meaning, not just keywords
  • Support for various file formats, including PDFs, Word documents, text files, and scanned documents
  • Open-source components to keep data within the user's network
  • Custom pattern creation for identifying key information in documents
  • Integration support for EHR systems
  • Onboarding support with training sessions, documentation, and technical assistance
This profile is AI-generated and may contain inaccuracies.