Dvina

What is Dvina?

Dvina is a comprehensive AI operating system designed to unify fragmented workflows across multiple tools and data sources. It connects over 120 third-party applications—including Salesforce, Jira, Linear, Notion, Gmail, Slack, and Google Analytics—alongside enterprise databases like Snowflake, BigQuery, PostgreSQL, and SAP HANA. The platform enables organizations to query live data, synthesize multi-source insights, and automate workflows through natural language interaction, all while maintaining enterprise-grade privacy and security. Built for teams working with sensitive data, Dvina offers flexible deployment options including cloud, private-cloud, and on-premise installations to meet compliance requirements.

Key Features

• 120+ Deep App Integrations

  Seamless connectivity with enterprise applications (CRM, project management, analytics, communication) and databases (SQL, NoSQL) enabling real-time data access and automated actions across your entire tool ecosystem.

• Privacy-First Architecture

  No training on user data, automatic personal-information masking, end-to-end encryption for all interactions, and support for on-premise deployment to maintain complete data sovereignty and regulatory compliance.

• Real-Time Data Processing

  Query live data from enterprise connectors, synthesize insights from multiple sources simultaneously, and generate verifiable reports with transparent, citation-backed answers for informed decision-making.

• Specialized AI Agents (Minds)

  Role-specific AI agents tailored for different functions and workflows, enabling product managers, analysts, finance teams, and IT leaders to work with domain-specific intelligence and automation.

• Automated Workflows & Actions

  Execute multi-app operations directly through conversation—send emails, update CRM records, generate documents, and complete complex workflows without manual intervention or data export.

• Enterprise-Grade Reliability

  Transparent, traceable outputs with full context retention for multi-step workflows, capable of processing large-scale datasets, and supporting compliance standards including GDPR and ISO requirements.

Use Cases

• Business Intelligence & Analytics : Product managers and analysts can query live data across databases and applications, generate real-time reports, and extract multi-source insights without manual data compilation.
• Financial Operations & Reporting : Finance teams can automate data gathering from multiple sources, generate compliance reports, and perform analysis on live financial data while maintaining audit trails and data security.
• Customer & Sales Operations : Sales and customer success teams can access real-time customer data from CRM systems, automate follow-ups, generate insights from customer interactions, and execute multi-app workflows.
• IT & Compliance Management : IT leaders and compliance officers can monitor system performance, manage data governance across multiple tools, and ensure regulatory requirements are met with on-premise deployment options.
• Research & Data Synthesis : Academics and data professionals can integrate large datasets, perform complex analysis across multiple sources, and generate comprehensive research documentation with verifiable citations.
• Regulated Industry Operations : Organizations in healthcare, finance, and government sectors can leverage private deployments and privacy controls to maintain compliance while accessing distributed data and executing intelligent workflows.

FAQs