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What is DryvIQ?

Develop a deep and thorough comprehension of your unstructured enterprise data to evaluate risks, mitigate threats and vulnerabilities, and enable better business decisions. Classify, label, and organize unstructured data on an enterprise-wide scale in a systematic manner. Promote quick, accurate, and comprehensive identification of sensitive and high-risk files while delivering extensive insights through artificial intelligence. Maintain continuous visibility into both newly created and existing unstructured data. Enforce policy, compliance, and governance protocols without requiring manual user intervention. Uncover concealed data while methodically categorizing and organizing sensitive information and other data types at scale, facilitating informed decision-making regarding data migration approaches. Additionally, the platform accommodates both simple and intricate file transfers across a wide range of cloud services, network file systems, or legacy ECM platforms at scale, thereby boosting operational efficiency and data management. This comprehensive strategy empowers organizations not only to manage their data effectively but also to leverage it for a competitive edge in their respective markets. Ultimately, by enhancing data governance, organizations can foster a culture of accountability and responsiveness in their data handling processes.

What is Deasie?

Creating successful models hinges on the availability of top-notch data. At present, more than 80% of this data exists in unstructured forms, including documents, reports, text, and images. For language models, it is critical to identify which portions of this data are relevant, outdated, inconsistent, or sensitive. Overlooking this important phase can lead to the deployment of artificial intelligence that is both unsafe and unreliable. Therefore, meticulous data curation is essential not only for the effectiveness of AI applications but also for building trust among users. This process ultimately supports the responsible advancement of technology in various sectors.

Media

Media

Integrations Supported

Box
Dropbox
Microsoft SharePoint
Claude
Google Workspace
Llama
Llama 2
Llama 3
Llama 3.1
Llama 3.2
Llama 3.3
Microsoft 365
Microsoft Azure
Microsoft OneDrive
Microsoft Teams
OpenAI

Integrations Supported

Box
Dropbox
Microsoft SharePoint
Claude
Google Workspace
Llama
Llama 2
Llama 3
Llama 3.1
Llama 3.2
Llama 3.3
Microsoft 365
Microsoft Azure
Microsoft OneDrive
Microsoft Teams
OpenAI

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

DryvIQ

Date Founded

2011

Company Location

United States

Company Website

dryviq.com

Company Facts

Organization Name

Deasie

Company Website

deasie.com

Categories and Features

Data Discovery

Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics

Data Governance

Access Control
Data Discovery
Data Mapping
Data Profiling
Deletion Management
Email Management
Policy Management
Process Management
Roles Management
Storage Management

Integration

Dashboard
ETL - Extract / Transform / Load
Metadata Management
Multiple Data Sources
Web Services

Categories and Features

Data Governance

Access Control
Data Discovery
Data Mapping
Data Profiling
Deletion Management
Email Management
Policy Management
Process Management
Roles Management
Storage Management

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