{cryptography.applied}

The exponential increase of data creation today, is making robust and cutting-edge cryptography essential for privacy and confidentiality

Technology
Yesterday

Cryptographic techniques of yesterday are inadequate for airtight data protection and secure computation

Technology
Today

Zero-knowledge proofs, secure enclaves, and multi-party computation allow for private data manipulation that hasn’t been possible before

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We provide solutions for Analytics on confidential datasets

At decentriq we are working at the intersection between trust, privacy and transparency

These pain points can be turned into a competitive advantage for our customers by employing cryptographic applications such as multi-party computation or zero-knowledge proofs

We leverage state of the
art cryptography
research and
development to provide
solutions to real business
problems
Trust
Confidentiality
Privacy

decentriq applies
zero-knowledge proofs and multi-party computation
to enable:

  • Verified icon

    Verified computation

  • Confidentiality icon

    Data confidentiality on Machine Learning

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    Providing analytics results
    without ever disclosing the sensitive data

SECURITY

We make sure that we provide solutions that
never reveal any kind of confidential data
and can be applied today in industrial scale

PRIVACY

Privacy is a right that get threatened by the increase of
data available. We make sure that any dataset can be
used in a privacy preserving way

Productizing
immediate pain-points.

Zokrates tool-box
enabling zk-SNARKs on
Ethereum blockchain
From blockchain to cooperation
applying zero-knowledge proofs
Cases: proof-of-funds and e-voting
Integrating
Multiparty
Computation
and Enclaves
for private data
analytics
Tool-set to provide
sensitive training data for
artificial intelligence
Integrated product
suite allowing
encrypted solutions for
verified computation,
data analytics and
deep learning
We want to deliver products with clear
value to our customers. Our product
pipeline is based on our target of
implementing usable cutting-edge
cryptographic solutions
Our team’s background allows us to draw
experience and knowledge from an extremely
diverse universe of industries and academia. We
are collaborating with industry experts to directly
translate research to applications

Diversity

Diverse team of almost ten nationalities across two locations

Academia

Strong academic foot-prints from ETH Zurich and University of St. Gallen

Experience

Previous positions at BMW, Teralytics, Goldman Sachs, J.P. Morgan, Morgan Stanley, Glencore…

Contact:

Alpenstrasse 2
6301 Zug, Switzerland

info@decentriq.ch

Join the Team

If you are passionate about technology and you are interested in enabling scaled data privacy for everyone, then apply in the positions below

Strategy and Business Development (Intern/Working Student)

Safe AI Research Engineer (Intern/Working Student)

We are always looking for exceptional talent, so if you don't see any position that fits you, send us an email at info@decentriq.ch and we will be in contact with you