Radius Analytics

Radius Analytics builds models, model-based platforms, and undertakes model-based projects for a range of objectives, contexts and industries. The team has several decades of combined experience in machine learning; risk modelling; operational research and general data analysis. We have a particular focus on modelling architectures, and take a pragmatic view of the integration of predictive models into our clients' business operations. Our goal is always to create industrial-strength components, with stable predictive power, that clients can use, maintain and tune once an engagement is completed. In more technical terms, our domain of expertise is the intersection of:[1] machine learning / data science / artificial intelligence [2] econometrics / computational statistics [3] operational research / decision science Radius can support virtually all aspects of a model’s life-cycle from inception and exploratory modelling, all the way out to review, deployment and monitoring. The company can provide one-off model builds to answer specific, focused questions, as well as undertake the design and implementation of the analytics component to an industrial-strength, model-based system. In addition to delivering specific analytics, we can also work at an advisory level. We can make detailed recommendations regarding a modelling strategy tailored to fit a given operation, including a road map of the model architectures most relevant to supporting the business out in to the future.