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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Cutting-edge technology and services are designed to securely transform and elevate sensitive information into actionable insights, thereby fostering innovation and creating new avenues for revenue generation. Through the use of the Mimic synthetic data engine, businesses can effectively synthesize their data assets, ensuring that consumer privacy is safeguarded while preserving the statistical relevance of the information. This synthetic data can be leveraged for a variety of internal initiatives, such as analytics, machine learning, artificial intelligence, marketing efforts, and segmentation strategies, as well as for generating new revenue streams via external data monetization. Mimic facilitates the secure transfer of statistically relevant synthetic data to any cloud platform of your preference, maximizing the utility of your data. In the cloud, enhanced synthetic data—validated for compliance with regulatory and privacy standards—can support analytics, insights, product development, testing, and collaboration with third-party data providers. This dual focus on innovation and compliance ensures that organizations can harness the power of their data without compromising on privacy.

Description

The Soflab G.A.L.L. application aims to anonymize sensitive information in non-production settings, facilitating the creation of high-quality synthetic data that mirrors real datasets, thus enabling effective testing processes. As it safeguards sensitive details, the application effectively mitigates the risk of data leaks. By substituting genuine data with artificial counterparts, it reduces the potential for data breaches while identifying sensitive or erroneous entries. This results in decreased legal and financial risks while ensuring the protection of customer transactional data. The application promotes a unified approach to anonymization across various non-production systems, thus maintaining a consistent data model and preserving connections with production data. Additionally, synthetic data generated from essential production attributes retains statistical integrity for business intelligence and artificial intelligence applications. A centralized test data repository allows for controlled data reuse, which not only lowers maintenance expenses and accelerates deployment timelines—up to five days—but also facilitates simulation and reusable scenarios effectively. Overall, the application enhances testing efficiency while prioritizing data security.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

No images available

Integrations

Amazon Web Services (AWS) Yes 
Databricks Yes 
Google Cloud Platform Yes 
Snowflake Yes 

Integrations

Amazon Web Services (AWS) No 
Databricks No 
Google Cloud Platform No 
Snowflake No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Facteus

Country

United States

Website

www.facteus.com/mimic

Vendor Details

Company Name

Soflab Technology Sp. z o.o.

Founded

2008

Country

Poland

Website

soflab.pl/en/

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Product Features

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