Research on A.I. solutions to femtech industry in Canada - ON-1091

Project type: Innovation
Desired discipline(s): Engineering - computer / electrical, Engineering, Computer science, Mathematical Sciences
Company: BEBE D'AMOUR FEMTECH INC.
Project Length: 4 to 6 months
Preferred start date: As soon as possible.
Language requirement: English
Location(s): Toronto, ON, Canada
No. of positions: 1
Desired education level: Undergraduate/Bachelor
Open to applicants registered at an institution outside of Canada: No

About the company: 

**Bebe D’Amour** is a leading maternal care company founded in 1998 in Xi’an, China. Originally a small family-run business, it has grown into a major player in the maternal care industry, serving tens of thousands of mothers with pregnancy and postpartum care services. Under the leadership of the current CEO, Bebe D’Amour has embraced digital transformation by evolving into a SaaS platform that leverages AI technology to support the well-being of pregnant women.

The company's AI solutions focus on tracking lifestyle factors, such as nutrition and health data, by integrating wearable devices like iWatches. These tools help monitor health risks and provide personalized recommendations. Bebe D’Amour aims to address rising maternal mortality rates and preterm birth complications through technology-driven, preventative care.

The Canadian market presents a significant opportunity for Bebe D’Amour, given the shortage of maternity care providers. The company plans to offer its services through a freemium model, followed by subscription pricing starting at $20 per month. With the Femtech industry expected to grow substantially, Bebe D’Amour is poised to make a significant impact on maternal health in Canada.

Describe the project.: 

Bebe D’Amour, a femtech start-up based in Canada, is undertaking a project aimed at analyzing the Canadian femtech market and evaluating existing AI solutions to enhance its competitive positioning. The primary objective of this project is to provide Bebe D’Amour with a comprehensive understanding of the femtech landscape in Canada, including emerging trends, key players, and the current gaps in service offerings related to maternal care and women's health.

By identifying these market gaps, the project seeks to uncover potential opportunities where machine learning-driven solutions can make a meaningful impact. This includes the development of AI-based technologies tailored to support pregnancy and postpartum care, with a focus on improving maternal health outcomes. Bebe D’Amour’s aim is to leverage AI to track lifestyle factors such as nutrition, exercise, and overall health through wearable devices, creating personalized health recommendations for pregnant women and new mothers.

Through thorough market analysis and AI evaluations, this project will guide the company’s product development, ensuring that its innovative solutions align with the specific needs of Canadian consumers. Additionally, these insights will allow Bebe D’Amour to create offerings that fill the current gaps in the Canadian femtech market, providing a clear path to market relevance and competitive advantage. Ultimately, the project will position Bebe D’Amour as a leader in the femtech space by delivering technology-driven, preventative care solutions that significantly improve maternal health in Canada.

Required expertise/skills: 

The project requires expertise from undergraduate or above students specializing in Computer Science, Machine Learning, Artificial Intelligence (AI), and Engineering disciplines. Candidates should have a strong foundation in algorithms, data structures, and programming languages. Expertise in data analysis, data mining, and working with large datasets will be necessary for identifying market trends and gaps in the Canadian femtech industry.