Technical Business intern(s) working within cross-functional teams to commercialize AI-powered solutions in the Public Services Sector (2)

AltaML builds artificial intelligence (AI)-enabled solutions to business problems. We work with organisations, bringing together their data and domain expertise with our AI expertise, to develop AI solutions that are deployed in their operations. We also commercialize AI-enabled products business via industry-specific ventures, yielding scalability from our investment in the first solution. AltaML’s AI Lab […]

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L2M – Risk based Inspection and Maintenance Planning (RBIM) Framework for Pipeline Integrity Management

Pipelines are a critical component of energy infrastructure but are vulnerable to threats such as cracks and geohazards, which can cause severe failures. To mitigate these risks, cost-effective integrity management is essential, aiming to operate pipelines effectively and efficiently by maintaining safety and delivering economic benefits. The intern’s PhD project proposes a Risk based Inspection […]

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L2M – Development of a Rapid Molecularly Imprinted Polymer (MIP)-Based Diagnostic Device for Differentiating Bacterial and Viral Infections via Dual Biomarker Detection

We are developing a rapid, low-cost diagnostic device that helps healthcare providers quickly determine whether an infection is bacterial or viral, leading to better treatment decisions and reduced antibiotic misuse. This project will explore real-world demand for the device, evaluate its competitive edge, and refine its market strategy. Through the Lab2Market Validate program, Edmonton Unlimited […]

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L2M – TraffiCore

During the course of this project, the main focus will be on the market research aspect of TraffiCore, a traffic monitoring and control automation startup which aims to provide traffic managers and controllers with a useful tool that can automatically perform the repetitive and mundane tasks that are usually perfomed manually and suboptimally. The intern […]

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L2M – Digital Twin for Real-Time Cardiac Arrest Risk Monitoring

This project has developed a real-time digital monitoring system that identifies people at risk of sudden cardiac arrest by analyzing their heart signals (ECGs). By combining a machine learning model with cloud-based technology, the system automatically updates each patient’s status and sends alerts if a risk is detected. This enables the partner organization to provide […]

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L2M – Clinical Trial Recommendation System Using Large Language Model

We are developing a conversational AI system that helps hospitals and cancer centers find the right patients for clinical trials much faster and easier. Currently, research staff spend weeks manually reading through hundreds of pages of patient medical records to see if patients qualify for specific cancer treatment studies, which means many patients who could […]

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L2M – Vira

This research-based project aims to make developing virtual reality (VR) applications faster and easier by using generative AI tools. By streamlining the development process, the project can help both companies and individual developers save time and resources. This is especially valuable for Calgary’s growing community of VR businesses and research labs. Overall, the project supports […]

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L2M – EnerCast

I intend to commercialize a foundation model for forecasting energy production and consumption time series, addressing challenges like renewable integration, storage optimization, and demand-supply balancing. Resources such as HVACs, EVs, ESSs, and solar roofs introduce uncertainty due to temperature sensitivity, price response, and weather variability, making grid management and the transition to smart grids more […]

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L2M – Next-Generation iEEG Electrodes with Integrated Optical and Oxygenation Sensors for Precision Neurodiagnostics

This project explores the market opportunity for a next-generation intracranial EEG (iEEG) electrode system that integrates optical and oxygenation sensors to enhance brain monitoring in clinical and research settings. The proposed innovation addresses a critical gap in current neurodiagnostic tools by enabling simultaneous acquisition of electrical activity and hemodynamic signals from the brain. This dual-modality […]

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L2M – Selective PSRV for Methane Emission Reduction from Storage Tanks

This project aims to develop an innovative, low-cost technology to prevent methane leaks from oil storage tanks, addressing a significant source of greenhouse gas emissions. Traditional tank valves either release harmful gases into the air or are costly to operate. Our proposed solution is a specialized membrane valve that allows harmless gases, such as nitrogen […]

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