Invest in Deep Tech like an Engineer - Deep Random Talks

Published on ● Video Link: https://www.youtube.com/watch?v=irX6Kd_JHmI



Duration: 48:57
124 views
4


📈 Let's take a look at one of the successful deep tech investments RiSC Capital made. Semantic Health, a company specializing in natural language processing of medical records, caught their attention. The company addressed a significant problem faced by hospitals, where teams of humans had to manually convert healthcare records into billable codes. Semantic Health's AI-powered solution streamlined this process, offering better accuracy and efficiency. The team, led by Nicola Sahar, MD, combined a strong science background with a Harvard Business School education. Their dedication and the technology's proven success made it a fantastic investment opportunity.

🤝 As a founder seeking an investor, it's important to remember that the relationship extends beyond capital. Early-stage investors like to form long-term partnerships, providing support beyond just funding. To attract their attention, it's crucial to build rapport and show a willingness to collaborate on the business side. Founders who are coachable, open to guidance, and value a strong working relationship have an advantage in securing investments.

🚩 When evaluating potential founders, investors look for certain qualities. Red flags such as arrogance, lack of trustworthiness, or hidden agendas can hinder partnerships. Trust is essential for a successful collaboration, as it fosters efficient decision-making and resource allocation. Ensuring a good fit between the investor and founder is vital for a harmonious and productive relationship.

🌐 Looking ahead, the future of deep tech investments in Canada holds tremendous potential. While US/Europe currently leads in this area, Canada is poised for growth. As successful entrepreneurs reinvest in the deep tech industry, it will fuel further advancements and expand the ecosystem. Over time, we can expect to see a flourishing deep tech scene in Canada, similar to that of the United States and Europe.







Tags:
deep learning
machine learning