120+ app and database connections
Dvina connects to a broad set of workplace apps and databases so users can search, read, and act on information from one workspace instead of moving between tabs.
Dvina
ReclamarDvina is an AI platform for connected apps, documents, and live data in one workspace, with broad integrations and privacy-first processing.
What Dvina is
Dvina is an AI platform for working across apps, databases, and documents from a single workspace. Its public site positions the product around three main jobs: analyzing information, creating outputs, and helping users decide with live app data, private conversations, and large document libraries.
The platform emphasizes breadth of connectivity and privacy by default. It advertises 120+ app connections, database access, and document analysis that stays grounded in source material, while its privacy-first page says sensitive information is detected automatically and conversations and files are not used to train AI systems.
Core features
Document intelligence at scale
The platform is designed to keep responses anchored to source material when working with large document libraries, including tens of thousands of pages across thousands of files.
Bulk document import and search
The document intelligence page describes bulk folder import and cross-document querying, so existing folder structure can be kept while content becomes searchable and analyzable.
Automatic privacy protection
The privacy-first page says Dvina automatically detects personal data, replaces it with placeholders, and keeps model processing separated from raw sensitive text.
Included Dvina Code access
The pricing page says Dvina Code is included across plans, with different usage levels depending on tier.
Enterprise deployment options
The enterprise plan adds support for advanced data analysis, real-time dashboards, enterprise connectors, DLP and SIEM integrations, and on-premise deployment options.
Common ways teams use Dvina
Unified work across connected apps
Bring together tools such as Gmail, Notion, Linear, Slack, GitHub, and Jira so users can read, search, and update work without switching between separate apps.
Large-scale document review
Query large folders of contracts, reports, manuals, or research archives and ask questions across thousands of pages while keeping answers tied to the source documents.
Data exploration and dashboards
Connect supported databases such as PostgreSQL, MySQL, BigQuery, Snowflake, or Redshift to explore data in plain language and build refreshed insights or dashboards.
Privacy-sensitive AI use
Use the privacy-first workflow when handling sensitive prompts or files, where personal details are detected automatically and anonymized before processing.
Code-enabled workflows
Adopt Dvina Code alongside the main platform for users who need code-related workflows with usage that varies by plan.
Pros and Cons
Pros
- Connects to 120+ apps and several common databases from one workspace.
- Keeps document answers grounded in source content, with support for very large libraries.
- Builds privacy protections into the product, including automatic detection of personal data and no training on customer data.
- Offers a clear upgrade path from free use to paid team, professional, and enterprise plans.
- Includes Dvina Code across the listed plans.
Cons
- Some integration details are high level, so the exact depth of individual app support is not fully described on the public pages.
- The most advanced document and enterprise capabilities are described unevenly across pages, so buyers may need to confirm plan-specific limits before adoption.
- The privacy page mentions upcoming features, which means some protections and controls are still in progress rather than fully available.
FAQ
Does Dvina offer a free plan?
Dvina is built around a free tier, with paid plans for individuals, teams, and enterprises. The pricing page lists Free, Plus, Pro, Max, and Enterprise options.
What kinds of integrations does Dvina support?
Yes. The apps page says Dvina connects to 120+ apps and tools, and the pricing page says access expands by plan. The apps page also mentions databases such as PostgreSQL, MySQL, MongoDB, Oracle, BigQuery, Snowflake, and Redshift.
How does Dvina handle privacy?
Dvina’s privacy-first page says it automatically detects sensitive information, anonymizes it before model processing, and does not use your conversations or files to train AI systems.
Can Dvina analyze large document libraries?
The document intelligence page says Dvina is designed to work across thousands of pages and documents while staying grounded in source material. It also describes Deep Analyze in the Pro plan for scanned files, handwriting, diagrams, and charts.
Is Dvina Code included in the plans?
The pricing page says Dvina Code is included on all listed plans, with usage varying by tier.
Quick Facts
- Category
- AI platform
- Platform
- Web app with mobile app store and Google Play references
- Primary use
- Analyze, create, and decide across apps, documents, and live data
- Integrations
- 120+ apps and databases
- Pricing
- Free, Plus, Pro, Max, and Enterprise
- Source domain
- dvina.ai
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