Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
We empower businesses to harness the potential of first-party data collaboration while minimizing associated risks. By converting consumer data from a potential burden into a valuable revenue-generating asset, organizations can flourish in a landscape that has moved beyond traditional cookies. Our approach allows for enhanced collaboration with additional partners, thereby maximizing value for customers. Furthermore, we facilitate financial inclusion and boost revenue through innovative partnerships that utilize alternative data sources. Our solution improves underwriting accuracy and optimizes profitability by incorporating these diverse data streams. Each participant employs our secure desktop application to anonymize, tokenize, and safeguard all personally identifiable information within their consumer data, ensuring it remains protected in their local environment. This procedure produces US-patented crypto-IDs for each anonymized consumer profile, allowing for the secure matching of shared consumers across various datasets in our neutral Cloud environment. With our cutting-edge technology, we are at the forefront of the next evolution in consumer data management and collaboration. This ensures that businesses can thrive in a data-driven future while maintaining the highest standards of privacy and security.
API Access
Has API
No
API Access
Has API
No
Integrations
Azure Machine Learning
No
Jupyter Notebook
No
Microsoft Power BI
No
Python
No
Integrations
Azure Machine Learning
Yes
Jupyter Notebook
Yes
Microsoft Power BI
Yes
Python
Yes
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
Yes
Live Rep (24/7)
Yes
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
Yes
Vendor Details
Company Name
Apheris
Country
Germany
Website
www.apheris.com
Vendor Details
Company Name
Omnisient
Founded
2019
Country
South Africa
Website
omnisient.com