We live in a world where the rate of change is high,
and it is very difficult to predict what will happen next.
Therefore, there is value in having critical
infrastructure in place in Sweden,
where we are not dependent on other countries, or their laws.
Cloud infrastructure should be seen as critical infrastructure
and should therefore be present in Sweden.
Hello, hello!
I’m just testing this here!
My name is Ebba, and I work at Scaleout.
Scaleout operates within private AI.
This means that we enable machine learning and artificial
intelligence in cases where it is inappropriate, illegal,
or impossible to move the data that the AI model will be trained on.
We use Safespring for our own development environment,
and to provide our SaaS platform
in a secure cloud infrastructure.
“This is how it will sound”.
You could say that Safespring delivers three values to its customers.
They are compliance, open standards,
and digital sovereignty.
We help Scaleout with a few things.
For them, perhaps privacy and compliance are the most important.
With us, this is done by not having any third-country transfers.
We integrate technical unctionality and align with
various articles in the GDPR to ensure that we have technical
functionality that meets regulatory requirements.
And then one might ask why this is important right now?
We see, from individuals as well as from regulatory authorities,
an increased focus on data integrity and data protection.
And this is one of the reasons why our customers prefer
us to use a Swedish cloud infrastructure.
Safespring delivers scalable infrastructure services.
So, there are collaborations both technically and functionally, one could say.
Regarding our product development, we also have technical political expertise
on board, allowing us to consider future regulations to
ensure that we help our customers in the future to
be compliant with the local regulations we have here in Europe.
Today, the
collaboration involves running our own development environment
in Safespring’s cloud, and we continuously discuss how we can
best make
machine learning available to both our and Safespring’s customers.
For us, it is very important to work closely with the customer
and advise, but also to receive feedback.
It is quite rare that we need support
since they use open standards, but when needed,
it is just a slack message away.
In a time when all operations re being digitalized, we want to
ensure that our customers are comfortable knowing they have control over their data.