About Omnisient | Collaborative Consumer Intelligence

Omnisient provides a privacy-preserving data collaboration platform that utilizes local data anonymization and advanced cryptography to enable secure sharing and analysis of first-party consumer data. This technology allows organizations to unlock insights and monetize their data while ensuring compliance with privacy regulations and protecting consumer identities.

```xml <problem> Organizations struggle to unlock the full potential of their first-party consumer data due to privacy regulations, data security concerns, and the risk of exposing sensitive consumer information. Traditional data sharing methods often involve direct data transfer, which increases the risk of data breaches and non-compliance. </problem> <solution> Omnisient provides a privacy-preserving data collaboration platform that enables organizations to securely share and analyze first-party consumer data without directly exchanging it. The platform utilizes local data anonymization, tokenization, and advanced cryptography to protect consumer identities and intellectual property. Participating organizations use a desktop application to anonymize and tokenize their data before securely uploading it to a neutral cloud environment. In this environment, parties can overlay and analyze datasets, leverage embedded AI/ML tools, and build predictive models without exposing raw data. Insights are then drawn locally, allowing organizations to monetize data, enhance advertising, improve credit risk scoring, and personalize loyalty programs while adhering to privacy regulations. </solution> <features> - Local data anonymization and tokenization using a patented Crypto-ID process - Secure data upload with advanced cryptography to prevent re-identification - Secure, neutral cloud environment for data collaboration and analysis - Embedded AI and machine learning tools for building and training predictive models - Role-based access controls and customizable alert thresholds - Real-time monitoring and alerting - Integration with existing CRM systems - ISO27001 certification for data security </features> <target_audience> The primary target audience includes financial institutions (banks, insurers, credit bureaus) seeking alternative data sources for risk assessment and market expansion, as well as consumer brands (retail, telco, healthcare) looking to monetize their data and enhance customer engagement. </target_audience> <revenue_model> Omnisient generates revenue through subscription fees for platform access and usage-based pricing depending on the volume of data processed and the number of collaborations. </revenue_model> ```

What does Omnisient | Collaborative Consumer Intelligence do?

Where is Omnisient | Collaborative Consumer Intelligence located?

Omnisient | Collaborative Consumer Intelligence is based in Cape Town, South Africa.

When was Omnisient | Collaborative Consumer Intelligence founded?

Omnisient | Collaborative Consumer Intelligence was founded in 2019.

Location

Cape Town, South Africa

Founded

2019

Employees

49 employees

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Omnisient | Collaborative Consumer Intelligence

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Executive Summary

omnisient.com 3K+

Founded 2019 – Cape Town, South Africa

Funding

No funding information available.

Team (40+)

No team information available.

Company Description

Problem

Organizations struggle to unlock the full potential of their first-party consumer data due to privacy regulations, data security concerns, and the risk of exposing sensitive consumer information. Traditional data sharing methods often involve direct data transfer, which increases the risk of data breaches and non-compliance.

Solution

Omnisient provides a privacy-preserving data collaboration platform that enables organizations to securely share and analyze first-party consumer data without directly exchanging it. The platform utilizes local data anonymization, tokenization, and advanced cryptography to protect consumer identities and intellectual property. Participating organizations use a desktop application to anonymize and tokenize their data before securely uploading it to a neutral cloud environment. In this environment, parties can overlay and analyze datasets, leverage embedded AI/ML tools, and build predictive models without exposing raw data. Insights are then drawn locally, allowing organizations to monetize data, enhance advertising, improve credit risk scoring, and personalize loyalty programs while adhering to privacy regulations.

Features

Local data anonymization and tokenization using a patented Crypto-ID process

Secure data upload with advanced cryptography to prevent re-identification

Secure, neutral cloud environment for data collaboration and analysis

Embedded AI and machine learning tools for building and training predictive models

Role-based access controls and customizable alert thresholds

Real-time monitoring and alerting

Integration with existing CRM systems

ISO27001 certification for data security

Target Audience

The primary target audience includes financial institutions (banks, insurers, credit bureaus) seeking alternative data sources for risk assessment and market expansion, as well as consumer brands (retail, telco, healthcare) looking to monetize their data and enhance customer engagement.

Revenue Model

Omnisient generates revenue through subscription fees for platform access and usage-based pricing depending on the volume of data processed and the number of collaborations.