Every organisation has a knowledge problem. Critical information is scattered across disparate systems—PDFs on a shared drive, documents in Microsoft Teams, spreadsheets in SharePoint, or notes in a dozen different places. When an employee needs an answer, they often have to hunt for it, ask a colleague, or create a support ticket. This is a massive drain on productivity.
e21 Explain is designed to solve this problem directly. It is a standalone Retrieval-Augmented Generation (RAG) solution that acts as a private, out-of-the-box system for data interrogation. Instead of searching, your team can simply ask a question in natural language and get an immediate, accurate answer based on your internal data.
What makes e21 Explain a better solution?
- Your Data Stays Private: Unlike public AI models, Explain is a containerised solution that can be deployed on a private server on your infrastructure. This ensures your sensitive data never leaves your network and is never used to train a public model. This is especially critical for regulated industries that need to maintain strict data privacy.
- A Single Source of Truth: Explain ingests a wide variety of data formats, including PDFs, DOCX, and XLSX files from local filesystems or cloud-mounted drives. It can even integrate with communication platforms like Slack and Microsoft Teams. This creates a single, queryable knowledge base for your entire team.
- Immediate and Tangible Value: The onboarding process for e21 Explain is quick and efficient. This means your team can begin uploading documents and using the RAG search interface to find information almost immediately, delivering immediate value and a clear ROI.
Our purpose at e21 is to make AI accessible and manageable. e21 Explain is the ideal entry point for companies to adopt private LLM usage, serving as a stepping stone to a more secure and efficient future. It transforms the tedious task of searching for information into an effortless conversation, allowing your team to focus on what matters most
