Use Case
Sep 18, 2025
Accelerating Deal Intelligence with Secure AI
A GDPR-compliant, open-source LLM platform with RAG, vector + graph search unlocks 500GB+ of sensitive M&A documents - answering complex questions, streamlining research, and generating project materials safely and fast.
Problem
A M&A firm possesses a vast and growing repository of database knowledge, exceeding 500GB of data in documents (PDFs, Excel spreadsheets, Word documents, etc.). Additionally, the data is very sensitive.
Currently, accessing and utilizing this information is time-consuming, hindering employee productivity and potentially impacting deal execution.
The firm also seeks to streamline the creation of new project documentation.
Use Case
Developing and implementing a secure-environment for Large Language Model (LLM).
Platform featuring an AI Chat Interface & Knowledge Database, a workspace enabling employees to quickly find answers to complex questions by searching through the firm’s extensive document database using LLMs and Retrieval-Augmented Generation (RAG) frameworks.
This will support both internal research and the rapid generation of new project materials.
Solution
A secure, GDPR-compliant LLM platform hosted in a secure environment, built by DeepMask.
This platform utilizes open-source LLMs with Retrieval-Augmented Generation (RAG) functionality to ensure accurate and contextually relevant results.
The combination of Vector and Graph Databases ensures 99% accuracy in results with no hallucinations.
Changelog