We are a machine learning + data science consultancy specialising in graph-based learning. We can help you build models that take advantage of connections in your data, saving you time and money with more robust and flexible models.
We use latest ML/AI methods to build models that take relational data as input. These models are deployed in computer vision tasks, social networks, recommender systems, drug discovery + more...
Provide the best predictions for your users by taking advantage of their preference network.
Ensure that your system is best-optimized by leveraging all the connections between your individual units.
Help your users connect with the right people by using their social network to suggest the best connections.
Quickly identify suspicious behaviours by looking at unusual changes in the network of your users.
Develop deep understanding of your network through interactive visualisations of all data features.
Identify and predict pharmaceutical responses by taking advantage of biological and chemical graphs.
We make use of graph-based learning to discover signal in connections. If you're data is interconnected then we can help you understand and implement models that leverage these links.
We believe that many companies can use their all their data instead of relying on tabular summarys.
