Research changes the demands placed on a system. We design for low latency while allowing components to be changed and tested independently, so that investigating a new method does not require rebuilding everything around it.
We evaluate emerging technologies quickly and distinguish promising experiments from dependable production systems. We study the underlying systems in depth, reduce unnecessary dependencies and pursue performance improvements that hold under the demands of the actual workload.
Tools earn their place through technical scrutiny. We examine efficiency, reliability and behaviour under failure, alongside the constraints and costs they introduce.
Evaluation, benchmarking and testing underpin our work: from mathematical methods and individual lines of code to machine learning, agentic workflows, infrastructure and operations. We make assumptions explicit and revisit them when the evidence changes.
