Grants and Contributions

Orbital Stack is seeking to improve customer experience and its sales funnel through experimenting with marketing automation, enhanced customer relationship management and educational content.

The project will create a cleantech SME International Community of Interest, provide SME training on international co-innovation opportunities, enhance SME readiness for international business expansion, and support the best SMEs to accelerate their business growth in the international markets.

The Project will support development of intellectual property capacity within the Firm.

IXM CR is a modern, slim and mullion mountable reader designed for secure touchless access control and workplace physical security. The reader works with RFID as well as digital mobile credentials and is configured via mobile app.

Research activities and technology investment to inform and characterize new business capabilities that will enable a fully automated merchant onboarding experience.

Develop a robotic lightweight aluminum bridge crane that is fully automated.

In keeping elders at home for longer, there is a need to remotely and frequently monitor their health condition and to provide the data to the care givers. This project aims at developing sensors for noninvasive and continuous sampling of biomarkers relevant to assess a senior's health condition. A sensor array, akin to an electronic nose, will be designed and built to detect and identify biomarkers such as acetone (diabetes, lung cancer), ammonia (liver diseases), nitric oxide (asthma, COPD), hydrogen disulfide (asthma, airways inflammation) and isoprene (lung cancer) in the breath of individuals. Carbon nanotube field-effect transistor sensing elements will be fabricated as to yield different signals to biomarkers, and assembled in a single sensing system. The array of sensing elements will provide a unique signature for each biomarker to identify the biomarker
marker presence and to quantify its concentration in order to issue an early warning of a change in the health condition. Moreover, an electronic skin will be developed where an electrochemical device based on carbon nanotubes will be used to detect specifically glucose and/or cortisol in eccrine sweat. The electrochemical sensor will be coupled to a microfluidic component to sample, concentrate, guide and evacuate the sweat as worn as a patch directly on the skin. The sensors will serve as functional wearables to be integrated in IoT. Better data on the elders' health status will enable a faster and more targeted response to health concerns, and will promote informed decision-making by the individual, the care givers and the health practitioners.

Dementia is a great public health problem, but treatments for Alzheimer’s disease (AD) have failed so far, partly because the disease is diagnosed too late for the damage to the brain to reverse. This project aims to validate a new brain health assessment that will identify individuals at risk of developing AD at very early stages using a simple, low-cost method. The assessment will measure the brain's response after eye blinks using a user-friendly electroencephalography (EEG) headset. The project will examine whether the blink-related responses measured with this portable system correlates with an individual's cognitive status, and by re-testing participants after 6, 12, and 24 months, we will determine whether blink-related responses can predict future cognitive decline. This project may result in a new assessment for brain health that may be deployed in primary care settings to help predict cognitive decline and dementia, ensuring more adults age well in place.

Dementia is a great public health problem, but treatments for Alzheimer’s disease (AD) have failed so far, partly because the disease is diagnosed too late for the damage to the brain to reverse. This project aims to validate a new brain health assessment that will identify individuals at risk of developing AD at very early stages using a simple, low-cost method. The assessment will measure the brain's response after eye blinks using a user-friendly electroencephalography (EEG) headset. The project will examine whether the blink-related responses measured with this portable system correlates with an individual's cognitive status, and by re-testing participants after 6, 12, and 24 months, we will determine whether blink-related responses can predict future cognitive decline. This project may result in a new assessment for brain health that may be deployed in primary care settings to help predict cognitive decline and dementia, ensuring more adults age well in place.

Business innovation to re-engineer marketing and sales activities to optimize the firm’s customer acquisition, conversion to premium plans and expansion to new markets.