"Driven by emerging technologies, like the Internet of Things, cyber-physical systems, and the so-called Industry 4.0, our businesses are becoming more and more complex every day. This makes taking sustainable operational decisions hard, especially when they need to be taken in live. At DataThings we believe that the large amount of data collected today from various sources has the potential to help you to better understand your businesses.
Our technology can empower a wide range of fields: health care, transportation systems, building management, Internet of Things, financial sector and nearly every other business that deals with live data. DataThings mission is to develop intelligent software systems to transform your data into actionable and valuable insights to support you in taking the best operational decisions – even in live."
GreyCat emerges after several years of research to efficiently analyze large-scale data in live. It is designed as a toolset to develop customized operational decision-making tools, able to run on big data centers but also on commodity hardware. Upon several years of successful cooperation at the University of Luxembourg, the co-founders of DataThings and creators of the GreyCat open source framework decided that it is time for the next chapter: GreyCat Enterprise.
Your business data is not isolated but richly interconnected. That’s why GreyCat represents and processes your data as a graph.
GreyCat is built to scale. It allows to analyze graphs with billions of nodes and edges – and this blazingly fast. Choose from a variety of storage options: from in-memory to highly replicated and distributed.
Time is flying... and your data too! GreyCat is built from the ground up to analyze continuously evolving streams of data: even millions of measurements per second on commodity hardware.
GreyCat provides natively state-of-the-art machine learning algorithms, like neuronal networks and Gaussian mixture models, to empower your businesses with the most advanced and up-to-date analytics.
What would happen if… an advanced simulation engine built on top of prediction models and advanced graph processing algorithms allows GreyCat to explore and evaluate different decisions before they are applied.
As former researchers, we continuously look at the most advanced methods to solve your challenges. We keep a very strong connection to research institutions around the world.
The funding from the construction and energy groups will help the intelligent software company to accelerate its growth and develop its R&D services.
It has been three years since DataThings was founded to provide its scientific research-based solution to companies.
Au lieu de chercher absolument à lever des fonds, DataThings travaille sur le fond: le cœur de son intelligence artificielle, que la spin-off du SnT destine à l’industrie.
The move to make manufacturing processes smarter and digitally interconnected, under the “Industry 4.0” banner, is moving from buzzword to real.
Paperjam met au cœur de son édition de novembre 2018 50 start-up «made in Luxembourg» à suivre en 2019.
DataThings' has developed a system for real-time management and analysis of data from different sensors.
Live monitoring of production lines and KPIs, early detection of deviations for smoother production flows.
Machine learning and live monitoring of production processes to empower predictions and to support maintenance and daily operations.
Live learning from the state of the electricity dirstibution to empower predictions and support maintenance and daily opertaions.
Monitoring parts in buildings to ease and predict maintenance.
Data analytics and services for outdoor advertising.
Smart consumption of tanked water to keep vegetation alive, and improve comfort of citizens during heat waves.
Open data platform for energy data, mobility data, and waste management.
We are a bunch of passionate computer science researchers and software engineers. After several years of successful collaboration at the University of Luxembourg/SnT, the co-founders of DataThings set out to start the next chapter in data analytics. At DataThings, we aim at making the vision of live analytics of complex and time-evolving data a reality in order to support your businesses in operational decision-making.
From left to right, Max Tricoire, Cyril Cecchinel, Matthieu Jimenez, Assaad Moawad (co-founder), Thomas Hartmann (co-founder), Gregory Nain (co-founder), and Francois Fouquet (co-founder). Photographer: Sebastien Wiertz. Artist: Eric Mangen.
Are you passionate about machine learning, AI, and software engineering? Do you like to code and work on hard problems? Are you determined and motivated to find the best possible solutions? And above all you are a great team player? We are looking forward to hearing from you!
In a previous post, we explained the mechanics behind Neural networks. In this post we will show a basic implementation in pure Numpy, and in TensorFlow.
A part of series about different types of layers in neural networks.
Phone: (+352) 20 60 03 15
5, rue de l'industrie, Luxembourg,
L-1811, LUXEMBOURG
contact@datathings.com
