Walter Goodwin
CEO
F
Fractile
10/10Traction
This startup offers an enterprise solution that processes internal documents using a secure large language model, ensuring that sensitive information remains confidential and intellectual property is protected. By automatically analyzing and linking dispersed ideas, the platform simplifies complex concepts and reveals hidden connections, enabling informed decision-making without external data exposure.
- Artificial Intelligence
- Data & Analytics
- Enterprise Software
- Software Only
Updated 4 months ago
Funding
Raised to date
$235MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
across 1 round
CIC+2RoundDateAmountValuationInvestors
Founders
Product
Problem
Enterprises struggle to efficiently process and analyze large volumes of internal documents while maintaining data security and protecting sensitive information. Traditional methods often involve manual review or reliance on external large language models (LLMs), which can expose confidential data and intellectual property.
Solution
This startup provides an enterprise-grade platform that leverages a secure, internal LLM to process and analyze internal documents without exposing data to external parties. The platform automatically analyzes large files and document collections, identifies and links dispersed ideas, and simplifies complex concepts to reveal hidden connections. By processing data internally, the solution ensures intellectual property protection, obfuscates personally identifiable information, and scans content for sensitive data. The platform empowers informed decision-making by providing conclusions and solution proposals derived from internal knowledge assets.
Target Audience
The primary target audience includes enterprises across various industries that handle large volumes of sensitive internal documents, such as legal, financial, pharmaceutical, and government organizations.
Features
- Secure, internal LLM processing to maintain data confidentiality and intellectual property protection.
- Automated analysis of large files and document collections.
- Identification and linking of dispersed ideas across multiple documents.
- Simplification of complex concepts and revelation of unobvious connections.
- Integration with internal data sources with customizable access levels.
- User activity tracking and real-time alerts for sensitive information handling.
- Customizable data processing parameters, including information selection, processing location, and methodology.
- Sensitive information scanning and obfuscation.