sov.rocks provides an AI-powered document search engine that makes corporate knowledge interrogable by connecting scattered contracts, manuals, and databases. The engine answers natural-language questions with cited sources, works on-premise or in private cloud, and is designed for regulated environments with AI Act compliance built in from the start.
Funding
Funding not disclosed
Founders
Product
Problem
Corporate knowledge is often scattered across years of contracts, regulations, manuals, and databases, making it time-consuming to locate specific information. Employees waste significant time searching through disparate archives, and the risk of errors increases when answers cannot be traced back to their original sources.
Solution
sov.rocks provides an AI-powered engine that makes company knowledge interrogable by connecting documents and data from different archives. Users ask questions in natural language, and the engine reads, generates, and compiles answers with exact source references, such as specific manual sections or contract articles. The system studies entire archives, dynamically selects relevant content, and can generate new documents based on templates or existing data. It is designed for regulated environments, operating locally or in private cloud, with traceable responses and granular access control. The engine is built with AI Act compliance anticipated from the design phase, ensuring suitability for enterprises with strict data governance requirements.
Target Audience
Primary customers are enterprises in regulated industries that need to search and verify information across large document archives, including technical, legal, and operational teams.
Features
- Natural-language question answering with exact source citations (e.g., manual section, contract article)
- Cross-archive search that connects contracts, manuals, databases, and management systems
- Dynamic document selection based on content reasoning, not just keyword matching
- Document generation on templates or from existing data
- On-premise or private cloud deployment with data remaining in the company's control
- Traceable responses with access control for granular visibility management
- AI Act compliance designed in from project inception