Dvina

Dvina brings information from documents, chats, apps, artifacts, and data into a shared context for its AI assistant. Users can ask questions across that material without first trimming or splitting large files and archives. The service can read text as well as charts, diagrams, and handwriting, and its answers include sources so people can check where information came from. Context is designed to carry across conversations: details from earlier work can surface again when a topic returns. Dvina also lets users create outputs such as documents, dashboards, and working apps, which then become part of the context. The product is available across web, iPhone, iPad, Android, Mac, and PC, giving users a shared workspace across devices. Dvina is intended for individuals who want an assistant grounded in their own material, as well as professionals and organizations that need shared context or more control over deployment. Its privacy features include encryption, automatic masking of personal and financial information before model processing, and a commitment not to use user data for model training. Paid tiers expand usage limits, collaboration, and context capacity; enterprise options include private cloud or on-premises deployment.