• 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.

Visualize big networks within seconds with Cosmograph. Halfway art and science, uses your GPU to speed up force-directed layout. With timeline and graph analytic filtering. And yes, open source. https://t.co/NfTrbKSsgj #Graphs #DataViz https://t.co/Y2jdU6Zx9S
Codon by @exaloop , a high-performance Python compiler that compiles to native machine code without any runtime overhead. Speedups are on the order of 10-100xor more, on a single thread. Codon's performance is typically on par with that of C/C++. https://t.co/g00nZsyR64 #python https://t.co/KbeSpO8IYw
Trillion edges benchmark: new world record beyond 100TB by @TigerGraphDB featuring AMD based Amazon EC2 instances. https://t.co/65sp9zkwPY #GraphDatabase https://t.co/d9BVCsOzem
Watch this space for an updated PowerBI widget based on @yworks. In 5 years since v1 it's easier to create and more powerful (Power Apps, Python & R integration...). Developing graph visualization in @MSPowerBI is so much easier and more fun than Tableau. https://t.co/XOQvZc9FbH https://t.co/iQ0I6n7EOi
The graph of primes exhibits some striking patterns and anomalies, both topologically and in its centrality measures.Can #GraphMachineLearning help here? Based on research with Soumya Jyoti Banerjee https://t.co/MyHBXCcfk6 #graphs https://t.co/RKpVtkGGgs
It takes now less than 100 lines of code to talk to your Neo4j graph (see attached gist). This works with any database really. I used a large biomed graph but this is also arbitrary. Uses GPT3, not ChatGPT. https://t.co/vBeGneS0FO @neo4j #graphs #NLU https://t.co/WTuh8qt81r
JanusGraph, a Gremlin-first #GraphDatabase has a Cypher-for-Gremlin adapter enabling property #Graphs. @TSawyerSoftware has explicit visualization/analytics support. Also check the @Linkurious Ogma dataviz https://t.co/qWF36TbbSp https://t.co/qJYhhnsk93 https://t.co/cwTXhpl8u0 https://t.co/GSkeANqPCC
Here's the real reason why graphs are everywhere. Category Theory is the maths of mathematics and it effectively embodies the idea that #graphs can describe anything and everything. The Wolfram stack excels in this sorta stuff. @WolframResearch https://t.co/UG8rQZlQu4 https://t.co/gLpZeDlIxA