
How deeptech is transforming innovation and entrepreneurship
Most CEOs agree that deep tech drives innovation and business profitability. Advanced technologies boost both revenue growth and productive and organisational efficiency. You do not need to be a technology expert to grasp this shift, but you do need to understand how urgent it is. Let's look at how deeptech is profoundly transforming innovation and entrepreneurship.
DEEPTECH: WHAT IS IT?
Definition and key characteristics
The term "deeptech" refers to a set of innovations arising from scientific discoveries or major technological advances. Unlike so-called "incremental" innovations, which improve on what already exists, deeptech rests on profound breakthroughs, often the result of several years of fundamental or applied research, in fields such as artificial intelligence, biotechnology, nanomaterials, robotics and quantum physics.
Deeptech companies thus develop high-impact solutions capable of meeting complex challenges: the energy transition, precision health, industry 4.0, cybersecurity and more.
They are generally characterised by a strong scientific or technological foundation, long and costly development cycles, a high need for funding and significant risk-taking (since there is not necessarily an established market for innovative projects).
Differences between deeptech and traditional tech
The distinction between deeptech and traditional tech rests mainly on the nature of the innovation and the timescale of development.
In traditional tech, innovation is mainly oriented towards use or the business model: app development, SaaS platforms, digital services and so on. These projects can be launched quickly, with short cycles, a fast time to market and fundraising as soon as the first traction appears.
Deeptech, by contrast, sits further upstream in the value chain. It often requires several years of technological maturation before it can be commercialised. The initial investment is larger, and returns on investment take longer to materialise. But when the innovation succeeds, its impact can be considerable and hard to replicate.
Traditional tech therefore optimises what already exists, whereas deeptech invents what does not yet exist.
WHY IS DEEPTECH A MAJOR OPPORTUNITY?
Sectors affected: health, energy, transport, AI
Deeptech is much more than a simple lever of differentiation for companies: it is a powerful driver of transformation in key sectors of our economy. Thanks to its scientific foundation and the strength of its technological innovation, it provides concrete answers to global challenges.
In healthcare, deeptech startups are developing next-generation treatments based on gene therapy, biomarkers and even 3D printing of biological tissue. In energy, they are working on long-duration storage, nuclear fusion and green hydrogen. The transport sector is seeing projects emerge in autonomous mobility, energy optimisation and electric aircraft. As for artificial intelligence, it benefits directly from advances in applied mathematics, robotics and big data processing.
These innovations are part of a logic of disruption, with strong economic potential, but also a positive impact on society.
Examples of innovative deeptech startups
In recent years, many French and international deeptech startups have shown their ability to bridge science and the market. One example is the French company DNA Script, a pioneer in synthetic biology, which is developing a DNA printer intended to revolutionise personalised medicine.
Another is Pasqal, a company spun out of the CNRS, which designs quantum computers based on neutral atoms, a giant leap for scientific computing.
A further example is Exotrail, which specialises in electric space propulsion for small satellites and is opening up new prospects for the European space industry. These companies share a strong scientific DNA, often driven by a researcher-entrepreneur who turns years of research into an ambitious business project.
THE CHALLENGES OF DEVELOPING DEEPTECH STARTUPS
Funding and access to investors
The first challenge for deeptech is often funding. Deeptech projects require substantial investment from the earliest stages, even though profitability is not immediate. The absence of revenue in the early years can deter traditional investors, who are more used to models that can be monetised quickly.
Fortunately, public schemes such as Bpifrance, the Deeptech Fund and innovation competitions exist to support these projects. But to convince private investors, project leaders must learn to translate their scientific language into a strategic and business vision. Mediation between researchers and funders remains a sensitive stage, and often a decisive one.
Long R&D lead times and the industrialisation of innovations
Another major challenge: research and development (R&D) lead times, which are often much longer than in traditional tech. Several years can pass between proof of concept and the development of a reliable prototype. This stretched timescale requires founders to show resilience and perseverance, and to know how to manage uncertainty.
Once the technology has been validated, the industrialisation of innovations raises new problems: adapting to production constraints, regulatory compliance, setting up a supply chain and so on. This move from laboratory to factory calls for specific skills and technical support, which are often missing from founding teams.
Market access and adoption by businesses and consumers
Finally, even the best innovations can fail if they do not find their market. Deeptech startups often have to contend with slow adoption by businesses and consumers, who are unfamiliar with complex or radically new technologies.
The challenge here is twofold: evangelising the market by explaining the innovation's added value simply, and reducing barriers to adoption, whether economic, cultural or regulatory. This calls for real work in education, marketing and trust-building, which highly technical teams often underestimate.
WHAT ROLE DO UNIVERSITIES AND INCUBATORS PLAY IN THE RISE OF DEEPTECH?
The deeptech ecosystem cannot develop without the active support of academic players and innovation support structures. Universities, engineering schools, public laboratories, incubators and competitiveness clusters play a central role in bringing projects to life, structuring them and connecting them to the business world.
Research programmes and partnerships with industry
Universities and research centres are often the source of scientific advances with strong technological potential. Many ideas, patents and discoveries are born in their laboratories, and they are the raw material of future deeptech projects. But to move from theory to practice, a connection with the industrial world is essential.
This is why more and more institutions are setting up applied research programmes directly linked to current economic challenges. Partnerships with industry allow researchers to test their work against market realities, while giving companies privileged access to cutting-edge innovation. These collaborations are often the starting point for spin-off projects or startups emerging from the academic world.
Support for deeptech entrepreneurs and fundraising
Creating a deeptech startup cannot be improvised. It is a demanding path that requires specific support, in scientific terms as well as managerial and financial ones. This is where specialist incubators come in, often linked to universities, schools or public bodies such as Bpifrance.
These incubators play a key role in training deeptech entrepreneurs, helping them to structure their project, validate their business model, protect their intellectual property and prepare their fundraising. They also provide access to a network of experts, mentors, investors and industrial partners, which is essential to speed up the move from innovation to market.
Thanks to this support ecosystem, France has seen many promising deeptech projects emerge, led by researcher-entrepreneur pairs combining scientific excellence with business ambition.
To become a player in this transformation and understand the technological issues shaping tomorrow's world, EDC Paris Business School offers a Master in Management that combines academic excellence, a culture of innovation and a strong entrepreneurial dimension. By joining this programme, you will develop a strategic vision, a solid grounding in management and the ability to lead large-scale projects in fast-changing sectors such as deeptech. An ideal path for tomorrow's leaders.
Imagine your future industry in five or ten years' time, profoundly reshaped by deeptech. Will your company be at the forefront of this transformation, or will it struggle to adapt? By embracing deep tech today, you are choosing success and sustainable growth. Companies that build these technologies into their core strategy will certainly pull ahead, while the others risk being left behind.