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Description

Apheris serves as a collaborative platform that allows organizations to work together on distributed data in a manner that is secure, private, and adheres to regulatory standards. By utilizing the Apheris Compute Gateway in conjunction with your data, machine learning and analytics processes occur directly at the data source, preventing any movement or direct accessibility of the data, thereby preserving its inherent value. This innovative methodology resolves common issues associated with data silos that arise from geographical, regulatory, or organizational constraints, as well as situations where data is too sensitive or expensive to transport. Unlike other methods such as synthetic data generation, encryption, or data clean rooms—which may compromise the validity of results, introduce risks of data breaches, or lack scalability—Apheris employs a federated approach to develop models across entire data cohorts without transferring any actual data. With a foundation built on governance, security, and privacy, Apheris guarantees compliance with regulations from the outset, enabling organizations to leverage their data assets more effectively. Ultimately, this unique strategy not only enhances data usability but also instills confidence among stakeholders regarding data protection and regulatory adherence.

Description

Obtain valuable consumer insights without the risk of disclosing personal information. The Karlsgate Identity Exchange (KIE™) utilizes innovative, patent-pending Cryptoidentity technology to match data in an anonymous manner in real-time. This approach allows for market data collection while ensuring compliance with consumer privacy standards that exceed existing regulations. KIE empowers data providers with enhanced control and transparency over their data assets. The time required for data acquisition is significantly reduced from months to mere minutes. KIE also simplifies the evaluation, contracting, and data management processes, facilitating a swift operational setup. Its advanced input file-matching logic further streamlines data processing. By employing deterministic cascading match algorithms, KIE achieves high-confidence file matching. With Karlsgate, organizations can forge strategic partnerships for data collaboration without compromising their customers' personally identifiable information. Furthermore, the data appending process is instantaneous, guaranteeing that the attributes are both current and precise, alleviating concerns about outdated enhanced data sets. This ensures that businesses can rely on their data to make informed decisions quickly.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

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 No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

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

Customer Support

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

Types of Training

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

Types of Training

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

Vendor Details

Company Name

Apheris

Country

Germany

Website

www.apheris.com

Vendor Details

Company Name

Karlsgate

Founded

2019

Country

United States

Website

karlsgate.com

Alternatives

Alternatives