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Apheris

Apheris

Provider of secure and governed access to data for AI and analytics.

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Contents

apheris.com
Is a
Company
Company
Organization
Organization

Company attributes

Industry
Big data
Big data
Privacy
Privacy
Cybersecurity
Cybersecurity
Software as a service (SaaS)
Software as a service (SaaS)
Analytics
Analytics
Artificial Intelligence (AI)
Artificial Intelligence (AI)
Machine learning
Machine learning
Location
Germany
Germany
United Kingdom
United Kingdom
Berlin
Berlin
B2X
B2B
B2B
CEO
Robin Röhm
Robin Röhm
Founder
Robin Röhm
Robin Röhm
Michael Höh
Michael Höh
Pitchbook URL
pitchbook.com/profiles...265973-59
Number of Employees (Ranges)
11 – 50
Email Address
info@apheris.com
Phone Number
+4917657886328
Full Address
c/o Mindspace, Skalitzer Str. 104 Berlin, 10997, Germany
Investors
Dig Ventures
Dig Ventures
Ian Hogarth
Ian Hogarth
System.One
System.One
‌
Berthold von Freyberg
‌
Torsten Reil
Dig Ventures
Dig Ventures
Heal Capital
Heal Capital
LocalGlobe
LocalGlobe
...
Founded Date
2019
Total Funding Amount (USD)
41,300,000
Latest Funding Round Date
January 3, 2025
Competitors
TripleBlind, Inc.
TripleBlind, Inc.
DataFleets
DataFleets
‌
Interface Security Systems
InfoSum
InfoSum
eSentire
eSentire
Censys
Censys
Solutionary
Solutionary
Lifebit
Lifebit
...
CTO
Michael Höh
Michael Höh
Also Known As
Apheris
Apheris Al
Latest Funding Type
Series A
Series A
Country
Germany
Germany
Headquarters
Berlin
Berlin

Other attributes

Funding Type
Seed
Seed
Latest Funding Round Amount (USD)
20,800,000

Overview

Apheris AI is a developer of a collaborative data ecosystem platform that enables users to use decentralized data sets by allowing data providers and data consumers to collaborate in a technically and commercially viable way. The company builds data solutions and unlocks new insights from distributed data of various parties without compromising security or ownership. Apheris AI was founded in 2019 by Robin Röhm and Michael Höh and is located in Berlin.

Platform

Apheris AI's platform was born out of the problem of sharing data between distributed departments and the regulatory constraints that restricted that sharing. Instead of sharing the data, the platform works to share the algorithm, allowing users to collaborate across teams, borders, and organizations to help them improve machine learning capability, use complementary data value, and increase the development of the platform itself.

To meet those regulatory frameworks, Apheris AI's platform offers federated learning, with governed, private, and secure computational access to sensitive data for machine learning in the collaborative environment. These controls allow users to control the data, including managing and tracking every computation and access of the data. The platform works behind an organization's firewall and does not pool data, allowing users to use workloads privately while federating with others, both to stay compliant and protect their intellectual property.

Timeline

No Timeline data yet.

Funding Rounds

Products

Acquisitions

SBIR/STTR Awards

Patents

Further Resources

Title
Author
Link
Type
Date
No Further Resources data yet.

References

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