About
praivate is an innovative software company, focused on delivering a transparent, customizable AI platform for managing confidential knowledge. Scheduled for release as free software by the end of October 2026, praivate offers organizations the capability to control their knowledge infrastructure with a robust system that integrates verifiable answers with their existing knowledge bases. Emphasizing transparency and freedom, praivate allows users to choose their operational environment—whether on-premises or in the cloud—while providing the flexibility to switch components and models as needed.
Solutions
praivate is designed for organizations that need to make their internal knowledge bases accessible while maintaining control over data processing, access, and operational environments. The system imports, structures, and annotates knowledge bases with origins and processing status, ensuring that updates and additional sources are precisely managed, resulting in a reliable foundation for searchable and verifiable responses. The platform ensures that access to sensitive content is restricted to authorized users, defined by roles, projects, and permissions.
Key Features
The architecture of praivate is built around three core principles: control, traceability, and openness. Users have full authority over data processing locations, model selection, and access to knowledge bases, ensuring that every processing step is transparent and traceable. Answers are linked to specific source text, allowing users to verify the basis of any claim. Models and components are interchangeable and can be tailored to specific hardware and application requirements, minimizing dependencies and enhancing long-term adaptability.
Professional Implementation
As a free software offering, praivate can be independently operated and developed. The company also provides professional assistance for organizations that require support during implementation. This includes an analysis of knowledge base quality and structure, setting up operational environments and access controls, and adapting data processing and search functionalities. The implementation process is collaborative, requiring organizations to supply representative data sets and specific queries to optimize the system for their unique use cases. This ensures that the platform is tailored to meet precise operational needs, supported by controlled optimization and thorough quality assurance.
