Use data and AI where they can solve a defined problem.

Services

• Data preparation, cleaning and exploratory analysis
• Dashboards, summaries and decision-support reporting
• Predictive modelling and classification
• Machine learning prototypes and proof of concept work
• AI-assisted features within software products
• Natural language and text-processing use cases
• Model evaluation and explainability
• Research data analysis and technical collaboration

A responsible starting point

An AI project should begin with a clear question, suitable data and a defined way to judge whether the result is useful. We review data quality, privacy, expected output and operational use before recommending an approach.

Typical path

• Assess the use case and success measures
• Prepare and document the data
• Develop and compare suitable approaches
• Evaluate performance, risks and limitations
• Integrate useful results into products or workflows