Brygg offers an AI‑powered knowledge platform that connects to enterprise content sources such as SharePoint, indexes the data, and delivers answers via a natural‑language chat interface with source citations. The system includes an integrated wiki for new knowledge and enforces role‑based access and EU‑hosted encryption to meet privacy regulations. It targets mid‑size to large organizations seeking a unified, searchable knowledge base.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises often store critical information across disparate systems such as SharePoint, internal wikis, and document libraries, making it time‑consuming for employees to locate accurate answers. Manual search across multiple repositories leads to knowledge silos, duplicated effort, and increased risk of outdated or incorrect information being used.
Solution
Brygg provides an AI‑driven knowledge platform that indexes connected data sources and exposes the information through a conversational chat interface. Users ask questions in natural language, and the system retrieves relevant passages from all linked repositories, synthesizes a concise answer, and attaches citations to the original documents for verification. A built‑in wiki allows teams to capture proprietary knowledge that is automatically searchable alongside existing content. The platform runs on secure, Europe‑hosted infrastructure and complies with applicable privacy regulations, ensuring that corporate data remains protected while being instantly accessible.
Target Audience
The primary customers are mid‑size to large enterprises that rely on SharePoint or similar document management systems and need a unified, searchable knowledge base for knowledge workers, support teams, and internal consultants.
Features
- Connector framework that ingests content from SharePoint and, in future releases, Google Drive, Confluence, and custom databases via API or file sync
- Retrieval‑augmented generation pipeline using large language models and vector embeddings to deliver context‑aware, natural‑language answers
- Automatic citation of source documents, enabling users to trace back information to its origin for auditability
- Integrated wiki editor that stores new knowledge entries in the same indexed corpus, ensuring seamless searchability
- Role‑based access control and end‑to‑end encryption, with all data stored on EU‑based servers to meet GDPR and other privacy standards
- Real‑time chat UI that supports multi‑turn interactions, allowing users to refine queries without leaving the interface
- Beta‑only configurable pricing and usage terms, negotiated per organization to align with early‑adopter needs