• Graph Thinking & 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.

Memgraph's graph analytics and machine learning package MAGE has now fully dynamic centrality (ie for streaming data) with a speedy C++ implementation as well as a hotline to ElasticSearch. Love this product 🫶 https://t.co/vRMGdqnGfx @memgraphdb ##GraphAnalytics https://t.co/SxdVWMvzKR
The latest @neo4j Graph Data Science v2.3 library has (finally) heterogeneous embeddings and an improved Python GDS library. #GraphMachineLearning

https://t.co/K7Bpuu83EA https://t.co/yNTU1vuyMM https://t.co/PjzoETjjSM
The Deep Graph Library (DGL) reached v1.0 and is packed with new features, like hypergraph neural nets, CUDA streams, hetero graph explainers and more. https://t.co/bB7Ur25wMy #GraphMachineLearning https://t.co/ow0GmRZfJW
GraphText, the great little Spanish company with beautiful #dataviz for graph exploration that nobody knows. Similar to @Graphistry but without the GPU's. https://t.co/BvhpnHikVU #GraphAnalytics https://t.co/4dHfzQIk78
ChatGPT is impressive 😳, really, no doubt. Thing I realized while wondering what my first question would be is that this initial question says a lot about who you are. So there you go, these two questions say it all. Both about ChatGPT and about me. #ChatGPT #honest https://t.co/fDNzASF7Kk
In algorithms, as in life, negativity can be a drag. But finally, we have a fast algorithm for finding the shortest paths on negative graphs. https://t.co/wMdc8qjOxJ #graphs #GraphAnalytics https://t.co/pBMPftXlC0
The latest Ogma graph visualization framework by @Linkurious has beautiful cluster annotations, Jupyter integration, realtime collaboration, new timelines, dynamic fish-eye and lots more. https://t.co/ypyucsPMJs #graphs #dataviz #GraphAnalytics https://t.co/J9U7M6piVi
Microsoft @Azure makes it ridiculously difficult to spin up a VM with Nvidia GPU. Support requests and whatnot. I went to @awscloud and took me five mins. Shame. #GraphMachineLearning