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Our Product
We are building low-cost robots that help clinics in developing and isolated areas detect early signs of preventable conditions via rapid patient monitoring.
Our technology consists of:
- Vertically integrated assembly to minimize manufacturing costs, which includes 3D-printed parts and in-house software
- A combination of contactless sensors that can quickly estimate heart rate, body temeprature, cough signatures and extract vital information.
Version 2 of our robotic hardware demo is under active development, with a video demo to be uploaded by end of August 2023.
Version 1 of our robotic prototype from April 2022 can be seen in this one-minute video demo.
Our Traction
Milestones we accomplished in less than 2 years:
- Microsoft Imagine Cup 2022 World Finalist (Top 48)
- AEF Grant Recipient from the Cansbridge Fellowship
- McGill Engine TechAccel Grant Recipient
- McGill Dobson Cup Semi-Finalist
- Featured on the James Dyson Award Gallery
- Selected to join the NEXT AI 2023 Cohort
- Selected to join Vector Institue's DaRMoD Program
Our Roadmap
(2023 Q4) | Autonomous Contactless Robot Demo + Production Ready Cloud PaaS
- Estimate heart rate, cough signatures and related vital signs in less than 60 seconds via contactless sensors
- Deploy a production-ready cloud PaaS to store medical data and extract insights, which powers both Inspire's hardware and a PaaS bundle to help software companies build cloud applications to store medical data
(2024 Q4) | Deploy Govt-Approved AI-Enabled Disease Detection
- Apply for regulatory approval for both our hardware components and our software models for vital signs monitoring and disease detection
- Complete tests with a select group of clinics to iteratively add hardware and software features
(2025 Q4) | Deliver Mass-Producible Robots to Clinics in Developing and Isolated Communities
- Complete a scalable and production-ready pipeline for manufacturing patient-monitoring robots
- Deliver the first batch of production-ready and mass-producible robots to clinics internationally
Our Founding Team
Laurence Liang 
Technical Lead
Laurence is passionate about combining interdisciplinary technologies to solve meaningful problems.
The Summer before university, Laurence spent a week with Global Brigades embarking on video calls with community healthcare workers in Honduras. This experience, coupled with a personal interest in reducing healthcare inequalities, led Laurence to build the first prototype for Inspire in the following year: a 3D-printed robotic arm connected to an AI model for respiratory disease diagnostics.
Having written software in industry roles since 2018, from developing natural language processing tools at Expedia, to building a pre-seed startup's core API prototype, Laurence is passionate about using his personal expriences to develop low-cost and accurate technology to reduce global healthcare inequalities. He has presented his research on bioinformatics and machine learning at ISEF, CWSF and CUCAI. He has been featured on TEDx, is a recipient of the Cansbridge Fellowship during which he developed visualization tools and predictive models for motor tests at ACSL Ltd. (Japan's largest industrial drone manufacturer), and is currenlty pursuing his degree in mechanical engineering at McGill University.
Laurence is excited to develop accessible and safe hardware and software for Inspire, and would love to connect to help organizations improve the patient experience.
Qi (Ken) Zuo
Biology Lead
Qi (Ken) Zuo, a first-year medical student, boasts a fascinating combination of expertise in vaccine research and artificial intelligence. His passion for advancing medical science has propelled him to pursue these two diverse fields concurrently, showcasing his multidimensional intellect and dedication to making a tangible impact in the healthcare landscape.
Having a background in research, Ken has spent countless hours in laboratories, conducting experiments and analyzing data. His curiousity and meticulous nature allow him to dive deep into the intricate world of microbiology and immunology and comprehend the complexities of vaccine development and its pivotal role in preventing and treating diseases. Armed with this knowledge, Ken approaches his medical studies with a unique perspective, consistently seeking innovative ways to optimize patient care and promote public health.
Furthermore, Ken's appreciation of computer science led him to embark on various CS50 courses and a Bachelor’s of Computer Science, where he acquired invaluable skills in the realm of artificial intelligence. By studying the principles and applications of AI, he has developed a profound understanding of how this technology can revolutionize healthcare. Equipped with this newfound expertise, Ken is determined to harness the power of AI to enhance diagnostics, improve treatment outcomes, and expedite medical research.
As Ken commences his journey as a medical student, he stands out among his peers due to his interdisciplinary background. His unwavering dedication, fueled by a desire to contribute to the medical field, ensures that he will remain at the forefront of medical advancements. With his knowledge in research and AI, Ken envisions a future where breakthroughs in healthcare are achieved through the seamless integration of scientific expertise and cutting-edge technology.