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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 Omnifact?

Omnifact is a generative AI platform that emphasizes user privacy and is tailored specifically for professional environments. The platform harnesses generative AI capabilities to fully leverage your data without compromising privacy. With a strong commitment to privacy and security, Omnifact ensures compliance with GDPR regulations for both cloud and on-premise setups. Its vendor-agnostic nature allows users to select from an array of language models, providing the flexibility needed to fully harness the power of AI while keeping data control intact. To protect sensitive information, Omnifact automatically masks personal details, as well as names of companies and products. Additionally, customizable content filters prevent the sharing of sensitive materials, such as legal documents or source code. Users can analyze anonymous interactions to gain insights into how their teams utilize generative AI, enhancing overall efficiency. Moreover, you can maintain budgetary control by implementing monthly spending limits or quotas for individual users, ensuring that costs remain manageable while leveraging advanced AI technology.

Media

Media

Integrations Supported

Python

Integrations Supported

Python

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

Omnifact

Company Website

omnifact.ai

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

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