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What is Dvina?

Dvina serves as an all-encompassing AI platform that seamlessly combines live databases and more than 120 applications—like Google Analytics, Salesforce, Notion, SAP HANA, and Airtable—into a unified intelligent workspace, enabling AI to query, analyze, summarize, and act upon real-time data without the necessity of duplication; this capability allows teams to tap into the most current metrics, produce valuable insights, and address complex business questions directly from their integrated systems, eliminating the need for disjointed workflows across multiple tools. Furthermore, Dvina emphasizes user privacy with its automatic detection and masking features for personal data, upholds a stringent policy against training on user data, and complies with high security and compliance standards, including EU-based infrastructure and GDPR-compliant practices, which ensures that sensitive information is well-protected while AI engages with live data sources. By balancing usability with security, Dvina emerges as a formidable solution for organizations that aim to leverage AI effectively while maintaining the integrity of their data, ultimately fostering an environment of trust and efficiency in data handling.

What is Azure Confidential Computing?

Azure Confidential Computing significantly improves data privacy and security by protecting information during processing, rather than just focusing on its storage or transmission. This is accomplished through the use of hardware-based trusted execution environments that encrypt data in memory, allowing computations to proceed only once the cloud platform verifies the environment's authenticity. As a result, access from cloud service providers, administrators, and other privileged users is effectively restricted. Furthermore, it supports scenarios like multi-party analytics, enabling different organizations to collaborate on encrypted datasets for collective machine learning endeavors without revealing their individual data. Users retain full authority over their data and code, determining which hardware and software have access, and can seamlessly migrate existing workloads using familiar tools, SDKs, and cloud infrastructures. In essence, this innovative approach not only enhances collaborative efforts but also greatly increases trust and confidence in cloud computing environments, paving the way for secure and private data interactions across various sectors.

Media

Media

Integrations Supported

Airtable
Google Analytics
Jira
Linear
NoSQL
Notion
Oracle Database
PostgreSQL
SAP HANA
SQL
Salesforce
Snowflake
Trello

Integrations Supported

Azure Data Explorer
Azure Databricks
Azure Key Vault
Azure Virtual Desktop
Kubernetes
Microsoft Azure
NVIDIA Confidential Computing

API Availability

API Availability

Pricing Information

Free
Free Version

Pricing Information

Pricing not provided

Supported Platforms

SaaS
Android
iPhone
iPad

Supported Platforms

SaaS

Customer Service / Support

24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Webinars
Online Training

Company Facts

Organization Name

Dvina

Date Founded

2023

Company Location

United States

Company Website

dvina.ai/

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

azure.microsoft.com/en-us/solutions/confidential-compute

Categories and Features

AI Assistants

Not specified

Confidential AI

Not specified

Categories and Features

Confidential AI

Not specified

Virtual Machine

Not specified

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