Society is becoming increasingly digitized. 45% of companies globally are running at least one big data application in the cloud, and the total amount of data stored globally is expected to increase ten-fold to 577 billion terabytes by 2030. Data search enables companies to make sense of their data, by finding specific data points in their databases. As a database grows, a bottleneck problem occurs, which leads to a decreased speed of data search. This speed decrease results in a waste of time and capital for companies analyzing large amounts of data. It also means that the servers where the data is stored become under-utilized, resulting in a waste of energy.
Vesiro is developing a software solution based on our patented algorithms, which enable much higher speeds for data search in big data applications. By designing the solution as an add-on to our customers’ existing database, we ensure that no changes have to be made to their current system while providing a performance increase. This will result in a reduced waste of time and capital and a better utilization of our customers’ resources.
Today, 70% of energy demands in sub-Saharan Africa are currently being met by the unsustainable consumption of charcoal and firewood. Burning wood for cooking is a known carcinogen that disproportionately affects women and children who spend the most time in front of the fire. Moreover, the high demand for firewood and charcoal is causing mass deforestation in the region. Bioethanol is an affordable, clean, and low carbon alternative and currently regarded as the best economically and socially viable solution. Working together with local market actors, NGOs, and (inter)governmental organizations we intend on making bioethanol accessible at large-scale through micro franchising and inclusive business design.
What if the power grid was shut down because of a cyber
attack? With the advancement and the interconnectivity between technologies,
the risk of cyber-attacks has increased drastically over the last decade.
Norgald provides a cybersecurity solution that helps to detect and classify
vulnerabilities in the IT and OT components of power grid companies. Further,
norgald’s solution will quantify the consequences of an attack on the system as
well as analyze the risks associated with those vulnerabilities. With this
information IT-specialists can make informed decisions to take action and
secure the entire network.
Clean water is necessary for human life. Globally, there are
a lot of problems with water contamination and two billion people live without
access to clean water. Contaminations of microplastics and metals increasingly
occur, but one lasting problem is that of dangerous microorganisms. The brand
new Nocoli technology enables for rapid and cost-efficient detection of
Escherichia coli (E.coli) in water streams. The conventional methods for
detecting bacteria in drinking water take somewhere from 12 hours up to several
days. Our new technology enables real time detection, without the need for lab
facilities, and in addition it is a lot cheaper than the current
Industrial companies all across Sweden produce tons of
waste and bi-products that could be valuable to other businesses. Right now,
they usually pay to have it burnt. We are providing a productized service to
SMEs that helps them reduce waste-related costs, save money on their input
materials, and supports the European goal of transitioning from a linear to
AI is a growing industry, and in many application areas, the
data sources are decentralized devices (phones, laptops, cameras, etc). The
traditional way of applying machine learning in these cases is to gather the
device's data and train the models on a centralized server. This does not
preserve data privacy or high communication efficiency. Federated learning has
been proposed as the solution to some of the challenges that the classical
approach to machine learning is faced with. The privacy issue would be solved
by moving the training of the models to the edge devices on which data was
generated, meaning that the data would never have to leave the device. Although
solving the privacy issue, the federated learning approach falls short in
communication efficiency and learning accuracy, constituting a bottleneck for
broader adoption of the technique. We aim to remove that bottleneck through a solution that
enables model aggregation at intermediate network nodes, drastically increasing
communication efficiency and simultaneously improving learning accuracy. We
call this scalable federated learning.
In Sweden alone, 81 000 burglaries take place every year. Of the burglaries occurring in private homes, almost half of them are targeting apartments. The most common way for thieves to break in is through the front door. Sadly, the majority of the victims did not have an alarm system in place. Today, home alarm systems are expensive and lead to many false calls. They also require manual activation, something that can be easily forgotten. Over 20 000 burglaries happen to storage spaces, areas that are commonly shared, and where an alarm system is complicated to implement. We at säkr offer a patented, live monitoring alarm system that automatically tracks the lock status on your door and alerts you in real-time if a door is forced open. Our system is a user-friendly alternative, with no activation, and no pin codes needed.