Combining the power of knowledge graphs and machine learning, Hume provides insights into distributed, heterogeneous, disconnected, and siloed data, thereby unlocking its hidden potential.
How hume can help
"GraphAware has assembled a truly unique team of thought leaders and experts with a ‘unicorn’ combination of graph and related data science skillsets, at a time when demand is exploding. And with the release of the Hume platform, our partnership has deepened to even replace IBM Watson with the leading edge Hume platform."
Vincent Bridgeman“Together with GraphAware we have combined graphs with extensive Natural Language Processing (NLP) on a multi-million dataset of articles spanning a knowledge graph. We are absolutely thrilled by the results and the new insights which will help us in the fight against diabetes.”
Dr. Alexander Jarasch"GraphAware didn’t just help us build our recommendation service, they helped our developers acquire a whole new set of programming skills."
Marc Pou
We support you at every stage of your graph journey. From getting started with Neo4j, through to customising, optimising, and realising the full potential of graph technologies and graph data science.
Get expert adviceWritten by GraphAware's Chief Scientist, the Graph-Powered Machine Learning book introduces you to graph technology concepts, highlighting the role of graphs in machine learning and big data platforms. You’ll get an in-depth look at core concepts, techniques, best practices, and common pitfalls.
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Enjoy resources created by our graph experts to help you get the most out of your data.
As you know, our Chief Scientist, Dr. Alessandro Negro, recently published a book titled Graph-Powered Machine Learning. We are very proud of the Chief, and very excited about the book. We’re even...
Graphs are a natural fit for investigative use cases. Whenever you want to analyse a situation containing people, objects, locations, and events (POLE), graphs emphasising relationships between objects are your natural companion....
About a year ago, I first logged into Hume - in the morning, I had started my new job at GraphAware, and a few hours later, I had a canvas in front...