Not all innovative startups develop Deep-Tech projects, even if sometimes they claim so.
Depending on the context, Deep
Summarizing, Deep-Tech startups can be defined as:
“companies based on early-stage technologies deriving from scientific or engineering advances, requiring long development times, systemic integration, and sophisticated knowledge to create a downstream offering with the potential to address grand societal challenges.” (Deep Tech: Unveiling the Foundations)
or
“enterprises that are positioned at the scientific frontiers, with long and uncertain R&D cycles; building tangible, often regulated, products and processes; linked to key ecosystem stakeholders, especially higher education institutions; problem-oriented or mission drive, and hence directed to the solution of public value failures; built through a dynamic de-risking cycle which recognize the option space faced by founders and investors.” (What is “Deep Tech” and what are Deep Tech Ventures? MIT)
This definition encompasses projects facing an enormous amount of uncertainty:
Operating in several different industries: Medicine, Aerospace, Avionics, Agriculture, Food, Energy, Construction, Manufacturing, Mobility, CleanTech, Cybersecurity, etc;
Based on (today) frontier technologies: New Materials, Artificial intelligence, Machine Learning, Robotics, IoT, Semiconductors, Electronics, Chemistry, Photonics & Physics, Biology, etc.
References