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What is Vendia?

Vendia is a Software as a Service (SaaS) solution that enables effortless sharing of code and data across multiple clouds, regions, and technology stacks for businesses and organizations. By promoting effective collaboration among enterprises, Vendia simplifies the sharing process among different companies, accounts, and environments. Its cutting-edge architecture features a distributed data model that guarantees accessibility wherever necessary, enhanced by a serverless design that facilitates easy scaling. Vendia allows organizations to create a holistic understanding of their data, which is especially beneficial for monitoring and tracing items throughout the supply chain. This data often involves various stakeholders, including suppliers, logistics providers, and partners, which may range from different legal entities to distinct divisions within a single organization. Moreover, it supports situations where departments prefer different cloud services, such as one using AWS while another chooses Azure, showcasing its flexibility. This impressive versatility and adaptability position Vendia as an essential tool for contemporary enterprises tackling intricate data-sharing obstacles. Furthermore, as businesses continue to expand globally, the need for such robust solutions becomes increasingly critical.

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

AWS Lambda
Amazon Aurora
Amazon Kinesis
Amazon S3
Amazon Web Services (AWS)
Azure Machine Learning
GraphQL
Jupyter Notebook
Microsoft Power BI
Python

Integrations Supported

AWS Lambda
Amazon Aurora
Amazon Kinesis
Amazon S3
Amazon Web Services (AWS)
Azure Machine Learning
GraphQL
Jupyter Notebook
Microsoft Power BI
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

Vendia

Company Location

United States

Company Website

www.vendia.com

Company Facts

Organization Name

Omnisient

Date Founded

2019

Company Location

South Africa

Company Website

omnisient.com

Categories and Features

Data Management

Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge

Categories and Features

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