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...
Christophe Willemsen, CTO, GraphAware, explains how to apply NLP to extract entities and key phrases to build and search knowledge graphs
GraphAware Hume helps governments in keeping their countries safe. In this 15-minute video, we demonstrate the use of Hume for contact tracing and smart quarantine in the context of the current coronavirus...
GraphAware started using Neo4j to do natural language processing on unstructured text in 2014, and Michal predicts that machine learning and AI play a major role in the future of graph technology....
What we do
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.Get Help
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.Read Book
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.Discover Hume
"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
"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
“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
"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
“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
"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.