Intelligence. Augmented.

GraphAware Introduces Hume

Hume transforms your information into searchable, understandable, and actionable knowledge.

Discover Hume

Graph-Powered Machine Learning

At its core, machine learning is about efficiently identifying patterns and relationships in data. Many tasks, such as finding associations among terms so you can make accurate search recommendations or locating individuals...

Selected Clients

Octave Bioscience
AkerBP
Shell
ESA - European Space Agency
Redhorse
Linkedin
World Economic Forum
LPL Financial
Bank of America
Autodesk
WSNCF
Boston Scientific
Royal Society of Chemistry
DZD

What we do

Neo4j Consulting

At GraphAware, we help companies of all sizes around the world succeed with Neo4j through consulting and training. As a Neo4j Premier Solution Partner, we offer a range of services including graph data modeling, software architecture validation, Cypher query optimisation, performance and scalability tuning, deployment and security advisory, as well as long-term hands-on project guidance.

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Graph-Powered ML

Graphs and machine learning are a perfect match. The use of graphs can supercharge your data science and machine learning projects by providing explainability, context awareness, algorithms, and much more. At the same time, knowledge graphs greatly benefit from using machine learning techniques such as natural language processing. GraphAware are pioneers of graph-powered machine learning.

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Hume

Our flagship product called Hume is an insights engine, a knowledge graph platform, and a graph-powered machine learning implementation. It turns your siloed, structured and unstructured data into easy-to-understand collaborative knowledge graphs which surface critical but previously buried and undetected relevance. Hume is a brain for your organization, by becoming its Digital Twin.

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Success Stories

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"GraphAware has assembled a truly unique team of thought leaders and experts with a ‘unicorn’ combination of Graph & 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, Vice President, Redhorse
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"GraphAware successfully implemented a real-time recommendation engine on our site in just two weeks. That is an astonishingly short time to production."

David Stephenson, Managing Director,
DSI Analytics and interim Head of Analytics, Belvilla
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“Together with GraphAware we are working on PoC where we combine 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 now hope to find new insights in the fight against diabetes. ”

Dr. Alexander Jarasch, Head of Bioinformatics and Data management, German Center for Diabetes Research
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"Unable to communicate the complexity of my information, I was paralyzed by technology. Thanks to GraphAware, I have been able to share how everything is connected and to capitalize my knowledge with a graph."

Hugo Araujo, Co-founder, Biomimicry Systems
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“I was really impressed how much value the combination of graphs and machine learning can provide in a short period of time. GraphAware Hume is a killer component in our market intelligence and business matchmaking platform.”

Milivoj Uzelac, Founder & CEO, Node21
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"GraphAware didn’t just help us build our recommendation service: they helped our developers acquire a whole new set of programming skills."

Marc Pou, Product Owner, InfoJobs

Why Choose GraphAware?

GraphAware is an official Solution Partner of Neo4j, Inc, the company behind Neo4j.

We offer Neo4j subscriptions directly to our customers and provide support from introduction through to full integration of Neo4j into their enterprise architecture and applications.

By having our experts on your side throughout the adoption process, you will be well-positioned to fully utilise all the business and technical benefits of the world’s most popular graph database.

Neo4j Solution Partner