Applied research

Explore. Test. Transfer.

Academic supervision of AI projects and technical mentoring. Students retain authorship of their work.

Proposed and supervised projects

Problem definition, method and evaluation. Academic research, with the status of each project stated below.

Blockchain and digital assets

Forecasting DeFi protocol activity

Time series and deep learning applied to DeFi protocol activity.

Final dissertation provided
Method and scope

Research proposal and academic supervision

Series preparation, explanatory variables, model comparison and temporal backtesting.

Includes academic development and results. Defence and production deployment are not verified here.

Document operations

Automated invoice processing

Information extraction from invoices using computer vision and OCR.

Reviewed draft with results
Method and scope

Research proposal and academic supervision

Image preparation, region detection, text extraction, evaluation and API exposure.

A reviewed dissertation draft; not evidence of a verified defence or commercial deployment.

Oil & Gas

Well behaviour with an active aquifer

Modelling well behaviour as extraction and reservoir conditions change.

Milestone document with results
Method and scope

Research proposal and academic supervision

MLP, LSTM, GRU and 1D CNN comparison using operational variables and production history.

Experimental results from an academic milestone. Defence and industrial validation are not verified.

Blockchain and behaviour analysis

Ethereum wallet segmentation

Unsupervised learning to identify transaction activity patterns.

Final dissertation provided
Method and scope

Research proposal and academic supervision

Feature engineering, PCA, clustering comparison and complementary graph analysis.

Academic development and evaluation; does not establish fraud detection or operational performance.

Supervision across disciplines

University documentation records three supervised projects with a registered defence.

Computer vision in agriculture

Banana leaf disease detection with convolutional networks and a mobile application.

Weather forecasting

Hyperlocal rainfall nowcasting.

Learning from imbalanced data

Resampling techniques for identifying potential personal-loan customers.

Independent academic assessment

18 assessment-panel participations

Reviewing questions, methods and evidence. This role is distinct from project supervision.

Academic work demonstrates research and supervision experience; it does not establish client deployments or industrial validation.

How we develop research questions

Think deeply. Build with purpose.

Understand the context, connect knowledge across sectors and test assumptions. We use AI to accelerate development while retaining responsibility for validation and decisions.

Next step

Let’s scope your first project.

Tell us which decision or process you want to improve.

Discuss a project