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...
Join us for a 30-minute webinar to hear about the importance of unlimited scale when using graph databases, the role of graphs to support machine learning and concrete examples of ML projects......
So, you’ve built an amazing application with your favorite framework such as Vue.js or React.js and now it’s time to build a Docker image and ship it. This blog post will iterate...
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...
What we do
At GraphAware, we help companies of all sizes around the world succeed with Neo4j. From short-term architecture validation and technical problem resolution to long-term hands-on project guidance, we are here to help you as an official Neo4j Solution Partner.Consultancy
When you’ve made the choice to adopt Neo4j in your organisation, we can help your team to get up to speed with the technology through a series of interactive, instructor-led, on-site workshops. In just a week, we turn your developers into graph heroes.Training
"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.
Spring Data Neo4j
GraphAware is the main author of the latest versions of Spring Data Neo4j, version 4 & 5, and the underlying object-graph mapper (OGM).
Spring Data Neo4j (SDN) offers advanced features to map between your domain objects and the Neo4j Graph Database.