We specialize in innovative research and development aimed at solving a particular problem in your business workflow or environment. Typical examples of such work are listed below:

• Targeted research with the aim to resolve specific questions through visual and statistical analysis coupled with concise documentation and presentation of findings;
• Development of predictive models, including machine learning models. We are experienced in the use of the R-software and SciKit-Learn frameworks and can bring cutting edge machine learning technology to your data and models. If you are a JunoViewer user, we can also work with the Lonrix team to implement models into your JunoViewer application.;
• Optimization or Ranking algorithms involving multiple criteria, for example to identify problem areas or hot-spots related to certain data types;
• Development of algorithms for complex data processing and data transformation, such as complex batch processing of information across multiple files;

Large scale data analysis and reporting of New Zealand's State Highway network deterioration and its effect on road safety on New Zealand state highways. This work was done in conjunction with Lonrix Ltd for Waka Kotahi (New Zealand Transport Agency). The work involved the creation and analysis of a dataset with approximately 1 million rows of data across more than 40 road condition attributes. Aspects of the work included:

• Data processing to prepare for statistical analysis;
• Statistical analysis to identify effects of road condition on crash frequency;
• Analysis of long term deterioration trends with respect to rutting, roughness, skid resistance etc., and
• Finally, the work was presented to the NZ Transport Agency at several high level meetings and the findings documented in an agency report (not in the public domain).