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. Competition for tech […]

Amid the ongoing climate crisis, there’s a surging demand for initiatives that prioritize climate action. Communities are seeking solutions to their environmental challenges that not only allow them to adapt and thrive but also position them as catalysts for change. Non-profit organizations, such as the Biosphere Institute of Bow Valley, play a pivotal role in […]

The project is on Life Cycle Assessment (LCA) of Flame Retardant Textile used for the Production of Occupational Safety Clothing with focus on the Personal Protective Equipment (PPE) Industry, and the results of the research will provide data for the partner company to be able to provide information and guidance at different steps in the […]

This project, a collaborative effort between TU Munich and the University of Calgary, aims to use an innovative electrotactile tongue display system for robotic teleoperation in surgery. In robotic-assisted surgeries, surgeons lack the direct ‘touch’ feedback that traditional surgery offers, often leading to a reliance on visual cues for force application. This gap can affect […]

Abdominal aortic aneurysms are a critical cardiovascular disease with a mortality rate over 80% when ruptured. With limited treatment options, especially for early-stage aneurysms, this project proposes the use of a novel therapeutic to limit growth and effectively treat early-stage AAA. The overall objective is to develop and evaluate the efficacy of stem cell delivery […]

This project is dedicated to unveiling how proteins within cell membranes adapt to their surroundings, particularly the lipid environment. Employing computer simulations and machine learning (ML), we focus on RAS signaling proteins and Mga2 transcription factors. RAS proteins, crucial for cell growth and division, are anchored to the cellular membrane and often exhibit mutations in […]

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. Competition for tech […]

Light Rail Transit (LRT) is a vital mode of public transportation that allows efficient movement of people and goods throughout Canada, and especially in major cities. Contrary to highway and traditional rail bridges, LRT bridge design issues have received little attention, although most of the major Canadian cities have LRT systems. Currently there exists no […]

This project aims to help the grain broker Johnston’s Grain achieve two key goals. First, it will research and develop a comprehensive strategy for expanding their export of Canadian grains and oilseeds into emerging markets in Asia and Africa. This includes analyzing market demand, trade regulations, and competitive landscapes to identify promising new countries to […]

Thin Air Labs is a venture capital and services firm in Calgary Alberta. We are a founder first organizations that supports start-ups with data management, capital strategy and software development. Our Funding Catalyst team has secured over $40,000,000 in non-dilutive funding fro innovative ventures, through grant writing and capital strategy consulting. The intern role will […]

Ultimarii is focused on accelerating the approval process for major projects by leveraging advanced large language model (LLM) technology to streamline environmental impact assessments (EIAs) and other regulatory filings. Our platform offers tools for auto-drafting, summarizing, analyzing, and predicting outcomes of regulatory applications, thereby increasing the efficiency and reducing the costs associated with project approvals. […]

This proposal represents part of a doctoral thesis aimed at developing an interface for immersive environments, allowing for geovisual analyses targeted at smart cities, using digital twins to investigate flood-related data. The proper application of interface design in this environment enables an improved understanding and perception of emerging risks, which are crucial elements in flood […]