• Graph Data Science Consulting

    We help companies turn multi-dimensional data
    into actionable insights through graph analytics and
    graph visualizations.

Services & Expertise


Orbifold B.V.
Leuven, Belgium.

Phone: +32-498-103288
Email: info@orbifold.net
Twitter: @theorbifold

Orbifold Consulting specializes in articulating graphs as a tool to extract business insights from data. Operating as an independent consulting company for more than 20 years, we combine business expertise and scientific know-how in bespoke software solutions. We deliver unique and innovative solutions using state-of-the-art tools and technologies.

We count amongst our customers world-renowned enterprises across all industries. Graph techniques can be applied to almost any business domains but are particularly well suited to fraud analysis, marketing optimization, operational intelligence, anti-terrorism, forensics and any form of large-scale knowledge management. Our expertise in these domains is broad and deep; from PhD-level scientific research to sophisticated JavaScript front-end development, from advanced graph machine learning techniques to cloud devops, from management consulting to startup boosting.

Being vendor neutral enables us to put together the best technology for every project, we’re innovation partners from ideation to implementation.

Google #TensorFlow has released a new Graph Neural Network library. Late to the party, with mature frameworks like #PyTorchGeometric, @GraphDeep and @stellargraph_io. https://t.co/WMM5t7mZDa #GraphMachineLearning https://t.co/uJNSReHFDw
Gartner has invented something called 'Sematic search' 😁 Anyhow, it's on the way out. Knowledge graphs are peaking. Graph machine learning does not exist in management consulting circles yet. https://t.co/kygfx4MAe2 #GraphAnalytics #KnowledgeGraphs https://t.co/dhqyXN9NKb
It's ridiculously easy to create node editors (visual programming anyone?) and other advanced UI's in Python using DearPyGui. Kudos to @jhoffs1 https://t.co/ygdX5xA2cq #Python https://t.co/rrLBD6rixE
Cylynx Motif; a new self-service, fully browser-based graph analytics tool with an open source branch. https://t.co/dFaFQumbzH #GraphAnalytics https://t.co/Ls1596xBn6 https://t.co/xWAVbQGfrN
Baffled by the speed of @RAPIDSai graph analytics and #DataScience in general. Faster than Spark, centrality of 5 million nodes in seconds. Kudos to the @dask_dev devs too for making things easy. You won a new fan here. https://t.co/Sal0hjMZNn #GraphAnalytics https://t.co/SfYCp1C53U
Large scale graph layout (with edge bundling), network visualizations and #dataviz on GPU thanks to @datashader. Perfectly complementing @RAPIDSai. https://t.co/mijYt1Lc1B https://t.co/hzf9moEIwU
AuraDS, the @neo4j data science stack in the cloud is in preview. https://t.co/9BWY7t7kJh #GraphDatabase https://t.co/d79x4UlhYp