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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Acquire profound and comprehensive understanding of your unstructured enterprise data to assess risks, lessen threats and vulnerabilities, and facilitate improved business decisions. Systematically classify, label, and arrange unstructured data on an enterprise-wide level. Foster swift, precise, and thorough identification of sensitive and high-risk files while providing in-depth insights through artificial intelligence. Ensure ongoing visibility into both newly generated and pre-existing unstructured data. Implement policy, compliance, and governance measures without the need for user manual input. Reveal hidden data while systematically classifying and organizing sensitive content and other data categories at scale, allowing for informed decisions regarding data migration strategies. Moreover, the platform supports both basic and complex file transfers across nearly any cloud service, network file system, or legacy ECM platform, all at a large scale, enhancing operational efficiency and data management. This holistic approach empowers organizations to not only manage their data effectively but also harness it for strategic advantage.

Description

With the help of AI, you can convert your semantic data into actionable insights that will help you make informed strategic decisions and shape your actions. As a leader in the field of Artificial Intelligence and a holder of advanced semantic data processing technologies, Synomia excels at transforming vast quantities of unstructured data into valuable insights, enabling brands to refine their strategies and activation processes. By analyzing significant and subtle market signals, you can uncover future trends that will guide your business direction. Additionally, our expertise allows us to pinpoint the most effective approaches for your digital strategies. We are proficient in all semantic AI technologies, applying them based on the specific needs of our clients, including supervised and unsupervised machine learning as well as rule-based systems. The capabilities of semantic AI empower the analysis of numerous sources and facilitate the development of methodologies focused on innovation and exploration, which are essential for creating strategies that resonate with target audiences. In today’s rapidly changing market, leveraging these insights is crucial for staying ahead of competitors and meeting consumer demands effectively.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Box
Dropbox
Google Workspace
Microsoft 365
Microsoft Azure
Microsoft OneDrive
Microsoft SharePoint
Microsoft Teams

Integrations

Box
Dropbox
Google Workspace
Microsoft 365
Microsoft Azure
Microsoft OneDrive
Microsoft SharePoint
Microsoft Teams

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

DryvIQ

Founded

2011

Country

United States

Website

dryviq.com

Vendor Details

Company Name

Synomia

Country

France

Website

www.synomia.com/en/

Product 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

Product Features

Data Analysis

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

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