We specialise in making powerful data science accessible to your organisation, approachable to your teams and applicable to your challenges.
We offer transparent, explainable machine learning and artificial intelligence that delivers predictive models that your users can understand and trust. We follow ethical best practices to design solutions and validate our results routinely. We deliver results that are reproducible and explainable. By helping you find relationships and patterns hidden in your data, we’ll unveil insights and future proof your investment by monitoring our solutions over time.
Working with us as your partner, you will be empowered to deploy data science into your current working practices to increase productivity and drive efficiency.
We deploy data science that is impactful today and builds a capability you can continue to develop tomorrow.
Python is an open source, flexible and beginner-friendly programming language that lets you work quickly and integrate systems more effectively. Our team are specialists at using Python for data science applications in the public sector.
Azure Machine Learning empower data scientists and developers to build, deploy and manage high-quality models faster and with confidence. Innovate on a secure, trusted platform designed for responsible machine learning (ML).
Amazon SageMaker helps data scientists and developers to prepare, build, train, and deploy high-quality machine learning models quickly by bringing together a broad set of capabilities purpose-built for machine learning.
Apache Spark™ is a multi-language engine for executing data engineering, data science, and machine learning on single-node machines or clusters.
Develop: Our integrated engineering teams ensure we can develop those innovative designs at the scale you need to suit your use case, timeline and budget. Once we’ve developed the maths, we can build interactive dashboards to allow you to explore your data, drill down and filter your insights. We develop your solution through continuous integration, following coding best practices, versioning, and unit testing to build future-proof solutions. By reducing the need for your users to undertake repetitive, time-consuming, and error-prone tasks, we give them time to focus on using the outputs to make better informed decisions.
Deploy: We don’t just experiment, our team have all the capabilities needed to deploy your new data science solution into production, and into the hands of decision makers. Whether it is embedded into your existing systems and processes, developed on a bespoke platform, or integrated with a third-party, we will ensure the user experience is as seamless as possible. Our intuitive solutions, accessible documentation and hands-on and training sessions will allow your team to confidently use the analysis and put it into the hands of decision makers across your organisation.
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