Former Projects
Since our inception in January 2024, we have been conducting machine learning projects for industry-leading companies
Spring 2025
Generalized Pipeline Evaluation for Entity Matching
Time Series Classification on Salmon Harvest Deviation
Exploring Sonar Market Signals Through News Summarization and LLM Reasoning
Image Captioning and Alt Text Generation using LLMs
Anomaly Detection on Energy Consumption Data
LLM-agents for data retrieval and analysis
Segmentation of Abdominal Aortic Aneurysms from general abdominal CT scans
Fall 2024
Entity Matching Pipeline and Technique Exploration
Explaining Salmon Harvest Deviation from Time Series
Exploring Automated Validation of Customs Documents with OCR and Language Models
Segmentation of Abdominal Aortic Aneurysms from general abdominal CT scans
Image Captioning and Alt Text Generation using LLMs
Anomaly Detection on Energy Consumption Data
LLM-agents for data retrieval and analysis
Entity Dense LLM Summaries for Actionable Insights
Spring 2024
Article summarisation with open source large language models
Predicting salmon appetite through time series modeling
Named entity extraction with open source large language models
Energy consumption anomaly detection with generative models
Fall 2025
Leveraging large language models to extract insights from Russian oil and gas reports and integrate them into Rystad Energy’s database.
Developing an AI powered hierarchical document classification system, designed to automate and streamline the manual process of categorizing customer documents.
Predicting optimal B2B Credit Limit policy, and building an LLM based pipeline for fraud detection
Predicting maintenance needs in water pipelines using asset data and time series to help prevent service disruptions.
Automated segmentation and measurement of the aorta from routine CT scans to detect and report abdominal aortic aneurysms (AAA)
