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Privacy Preserving Machine Learning and Analytics Pioneer | Inpher
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PIONEERING PRIVACY-PRESERVING MACHINE LEARNING ACROSS THE GLOBE.

Access to broader and deeper data pools drives business value through better
insights. Deliver secure, private and compliant AI applications with Secret
Computing®.

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Secret Computing


INPHER SECURES STRATEGIC INVESTMENT FROM AMAZON ALEXA FUND FOR CONSUMER DATA
PROTECTION IN AI

Press Release
Slide 2 of 2.






MORE DATA DRIVES BETTER BUSINESS DECISIONS


Data silos within and across organizations can block machine learning and
analytics initiatives. Accelerate time to market and unlock the value of data in
a secure, private and compliant manner by enabling privacy-preserving machine
learning and analytics with Inpher’s enterprise-ready XOR Secret Computing®
Product Suite.



SECURE DATA COLLABORATION


Collaborate on private data across departments, jurisdictions and organizations
without exposing or transferring sensitive information. Your data is always
encrypted and never revealed.



GET MORE ACCURATE BUSINESS INSIGHTS


Deliver high model accuracy and precision with encryption-in-use rather than
existing privacy approaches that reduce predictive features or inject noise.



EXCEED REGULATORY COMPLIANCE NEEDS


Turn sensitive data to business value through encrypted computations while
exceeding the compliance needs of global privacy and data regulations such as
GDPR.


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TRUSTED BY GLOBAL INNOVATORS

“We are excited to support Inpher as they continue to pioneer Secret Computing®,
further improving consumer and client confidence in data privacy and security
controls.”


PAUL BERNARD


DIRECTOR OF AMAZON ALEXA FUND

“Advances in data science and cryptography mean that we no longer have to accept
the traditional tradeoff between security, privacy and usability when handling
data of any kind. Inpher is at the vanguard of this revolution.”


SAMIK CHANDARANA


HEAD OF DATA & ANALYTICS J.P.MORGAN CHASE


“The ‘bad guys’ have all the same technologies we do. But the one thing they
cannot obtain is the scale of training data we could through collaborative
sharing, such as through the potential Inpher offers.”


HAYS W. “SKIP” MCCORMICK


DATA SCIENCE LEAD BNY MELLON



TRUSTED BY GLOBAL INNOVATORS


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