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What is Roseman Labs?

Roseman Labs enables the encryption and integration of various data sets while safeguarding privacy and commercial confidentiality. This capability empowers you to merge data from different sources, conduct analyses, and extract valuable insights necessary for process optimization. By harnessing the potential of your data, you can unlock new opportunities for growth. With Roseman Labs, the ease of Python enhances the encryption process, making it accessible. Safeguarding sensitive data allows for insightful analysis while ensuring compliance with privacy laws like GDPR. Enhanced compliance not only protects sensitive commercial and personal information but also facilitates the generation of meaningful insights. The cutting-edge encryption methods provided ensure robust data privacy. Roseman Labs allows for the seamless linking of data sets from various contributors, enabling the identification of overlapping records across multiple sources. This integration fosters the emergence of new insights and patterns that would otherwise remain hidden in standalone data sets. Ultimately, this innovative approach transforms data analytics into a more secure and effective process.

What is Omnisient?

We enable organizations to leverage the capabilities of first-party data collaboration while effectively reducing any potential risks involved. By transforming consumer data from a possible liability into a lucrative asset, companies can thrive in an evolving landscape that has surpassed traditional cookie usage. Our method promotes stronger partnerships with additional collaborators, which in turn amplifies value for clients. Additionally, we promote financial inclusion and enhance revenue through pioneering alliances that tap into alternative data resources. Our solution improves the precision of underwriting and increases profitability by integrating these varied data streams. Each participant utilizes our secure desktop application to anonymize, tokenize, and protect all personally identifiable information within their consumer data, ensuring it stays secure in their local setting. This process generates US-patented crypto-IDs for every anonymized consumer profile, facilitating the secure linking of shared consumers across multiple datasets within our neutral Cloud infrastructure. By employing our state-of-the-art technology, we are leading the charge in the next phase of consumer data management and collaboration. This guarantees that businesses can prosper in a data-centric future while adhering to the utmost standards of privacy and security, ultimately fostering greater trust and transparency in the marketplace.

Media

Media

Integrations Supported

Python
Azure Machine Learning
Jupyter Notebook
Microsoft Power BI

Integrations Supported

Python
Azure Machine Learning
Jupyter Notebook
Microsoft Power BI

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

Roseman Labs

Date Founded

2020

Company Location

Netherlands

Company Website

rosemanlabs.com/en/product

Company Facts

Organization Name

Omnisient

Date Founded

2019

Company Location

South Africa

Company Website

omnisient.com

Categories and Features

Data Privacy Management

Access Control
CCPA Compliance
Consent Management
Data Mapping
GDPR Compliance
Incident Management
PIA / DPIA
Policy Management
Risk Management
Sensitive Data Identification

Data Security

Alerts / Notifications
Antivirus/Malware Detection
At-Risk Analysis
Audits
Data Center Security
Data Classification
Data Discovery
Data Loss Prevention
Data Masking
Data-Centric Security
Database Security
Encryption
Identity / Access Management
Logging / Reporting
Mobile Data Security
Monitor Abnormalities
Policy Management
Secure Data Transport
Sensitive Data Compliance

Encryption

Central Policy Enforcement
Drag & Drop UI
Email Encryption
Encryption Key Management
Endpoint Encryption
File Compression
File Encryption
Full Disk Encryption
Public Key Cryptography
Tokenization / Data Masking

Categories and Features

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