Blog

We publish industry insights on data privacy, anonymization, synthetic data and news about Statice.

Future-proofing data science operations: the successful case of insurance company La Mobilière

This blog presents how one of Switzerland’s leading insurance companies implemented privacy-preserving techniques to future-proof its data operations. La Mobilière team validated the use of synthetic data in the context of data privacy protection, adding a new tool in their digital transformation toolbox.
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Posted on
July 6, 2020

What is privacy-preserving synthetic data?

This blog presents the concept of privacy-preserving synthetic data. Learn about the definition of synthetic data, its origin in the context of data privacy, and its benefits for organizations.
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Posted on
July 2, 2020

How “anonymous” is anonymized data?

What constitutes data anonymization is often debated within the scientific community. Regulators also frequently revise the definitions of anonymized data within legal frameworks. So it is safe to wonder, what exactly is anonymized data? And is anonymized data truly anonymous?
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Posted on
June 19, 2020

PETs: the technologies organizations should consider adopting

Discover the landscape of Privacy Enhancing Technologies (PETs) and some of their applications. Building upon the concept of Privacy by Design, these technologies hold many opportunities for organizations, such as compliance for instance.
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Posted on
June 11, 2020

4 Questions with M Science's Head of Data Acquisition, Sunaina Swaminathan

This is the first in a series of interviews we have planned with individuals who leverage data in their everyday work. The goal of this series is to share knowledge about what can be done with data, and to spark ideas for data usage in our community. We’re stoked to kick off the series with none other than Sunaina Swaminathan, Head of Data Acquisition at M Science! 
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Posted on
May 5, 2020

Learning the ropes of data businesses and privacy-preserving machine learning

Today’s blog post comes from Statice’s newest hire, Peter. Peter joined Statice with a diverse background in several B2C businesses, and wanted to share some of his insights on getting up to speed in the very specific niches of digital transformation, privacy-preserving data science and machine learning.
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Posted on
April 16, 2020

3 questions from Statice’s first webinar, answered!

We recently hosted our first webinar on data privacy and digital transformation, and wanted to share the slides and some great audience questions on Statice vs federated learning, brute forcing anonymization methods, and maintaining outliers in synthetic data.
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Posted on
April 17, 2020

Webinar: how businesses can benefit from privacy-preserving synthetic data

We'll be hosting our first webinar on the 14th of April, discussing privacy and it's relevance in the age of data and digital transformation. Read on for more details on the topic and for sign up!
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Posted on
April 2, 2020

Fighting the good fight: Statice data anonymization software for Covid-19 research

It’s a crazy time to be working on an early-stage company, what with Covid-19 and the resulting economic impact causing global upheaval. It has definitely been interesting to see how some of our partners and clients have had to make big changes to make this brave new world keep on turning. So far the team is happy and healthy, doing our best to build technology solutions to enable privacy-preserving data science. 
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Posted on
March 26, 2020

"How Statice works" under 5 minutes

Statice offers a data anonymization software that enables companies to easily use sensitive data while meeting the legal requirements of modern data privacy regulations. The Statice software generates synthetic data that allows companies to perform meaningful data analysis without ever touching the original data. We enable businesses to work with sensitive data while protecting the privacy of their users and customers.
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Posted on
March 5, 2020

Statice and Panter enable data-driven innovation in Switzerland

Statice and Panter are entering a partnership to enable privacy-preserving data innovation within the Swiss corporate ecosystem.
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Posted on
January 27, 2020

Statice wins global prize for disrupting life science industries

Statice won the audience prize in the 2019 President’s Startup Challenge for innovating and transforming the life science R&D. The Pistoia Alliance is a global non-profit community of life science stakeholders that works to lower barriers to R&D innovation. The President’s Startup Challenge is an annual event committed to supporting informatics and technology focused startups aiming to impact the way life science R&D is performed. 
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Posted on
October 28, 2019

The truth about anonymous data revealed

Many companies are still applying pseudonymization for data protection, thinking that they are protecting their customers’ data and perhaps even that they are being legally safe. Modern anonymization, contrary to pseudonymization, ensures that the data can never be retrieved by any means.
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Posted on
August 7, 2019

Starting Kickstart: Statice meets Switzerland

Statice is supporting the privacy efforts of Swiss corporates through the Kickstart program 2019. Follow us on Twitter @StaticePrivacy for more updates.
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Posted on
July 25, 2019

Privacy as priority — are corporates getting it?

More fines are likely to be issued as data protection offices are beginning to flex the powers bestowed upon them under the GDPR. These events should serve as a reminder to companies dealing with sensitive data that data security is non-trivial, and that management of data security risks should be a clear organizational priority.
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Posted on
July 11, 2019

Shaping Society: “Our Lives With Algorithms”

At Statice, we build software to safely anonymize sensitive personal information, which means that companies can protect individual privacy without giving up the potential for innovation and value creation around data. We believe that the ethical and moral responsibility to define concepts such as “good” and “bad” should always lie on humans and not the machines.
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Posted on
July 3, 2019

GDPR year 1: What we learned so far

Companies are now forced to introduce new methods of data processing. Any solutions must have privacy by design — and it’s not always easy to know where to start. Statice has prepared answers to some common misconceptions and questions your company might have about data privacy, data anonymization, synthetic data, and more.
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Posted on
June 27, 2019

No more headaches: Migraine research made possible

By creating synthetic data, Statice is enabling M-sense to freely share their data for research purposes — while fully preserving the privacy of the individuals involved. Statice and M-sense are together proving that hypersensitive data can be anonymized without any significant loss of quality or statistical significance.
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Posted on
June 18, 2019

Data doesn’t have to be evil

Statice started in the health sector. They helped several health apps to analyze their data and pass it on to research. “The companies have a better product and doctors can now evaluate thousands of patient data they wouldn’t otherwise have.” A win-win situation.
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Posted on
June 5, 2019

Level Up: Capnamic and WestTech join the Statice mission

We strongly believe that data driven collaboration both within and between organizations is a key driver of development, innovation and revenue. We’re already moving, with several key hires in the pipeline, and some very exciting projects coming shortly with leading healthcare, finance and automotive companies both from within Germany and internationally.
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Posted on
April 16, 2019

The GDPR and the future of data-driven innovation

We empower companies to open up their new synthetic data in a GDPR-compliant manner for product development, training new machine learning algorithms, and unlocking industry-wide insights — internally, or collaboratively with partners.
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Posted on
June 26, 2018

Introducing Statice [stat-is]

Statice is a software that allows you or your partners to handle data more freely and efficiently. You can easily share and collaborate over sensitive and private customer data without ever exposing it. We do this by generating synthetic data from your original data.
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Posted on
December 14, 2017

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