Why Deeptech Startups Need Different Capital to Survive and Scale

Deep tech startups have longer development cycles, higher research costs, and more technical uncertainties, which make traditional venture capital models less appropriate for their development.

Photo by Morgan Housel on Unsplash

Over the past decade, the ecosystem of start-ups has been dominated by start-ups that are involved in software platforms, mobile applications, and online services. These start-ups are known to expand rapidly, and they do not require a lot of capital to start. They can also launch their products within a few months. However, a new kind of start-up that is gaining traction in the ecosystem of start-ups is deep technology start-ups.

A deeptech start-up can be defined as a start-up that revolves around a major scientific discovery or breakthrough. These start-ups are different from others as they are involved in creating complex technology, unlike software, mobile applications, and online platforms. These start-ups are involved in creating complex technology in sectors such as artificial intelligence, biotechnology, robotics, and space technology.

Unlike traditional start-ups, deeptech start-ups do not launch their products within a few months. They also require years of research, testing, and experimentation before they can launch their products. These start-ups are involved in creating complex technology, and these technologies involve complex scientific processes as well as expensive research infrastructure.

It is important to understand why deeptech start-ups require a new kind of capital.

What Are Deeptech Startups?

Deeptech startups are companies that are based on substantial scientific and engineering innovation to develop new technologies. These are often founded on research carried out in various institutions such as universities, labs, and advanced technology institutions.

Unlike traditional startups that often involve software applications, deeptech companies operate in industries that require deep technical expertise and involve long research periods.

Examples of deeptech sectors include:

• Artificial intelligence
• Biotechnology
• Quantum computing
• Advanced materials

Companies like SpaceX and DeepMind are examples of how deep technological innovation can change industries.

Companies like these use cutting-edge research and technology to create technologies that may take years to refine.

Photo by Louis Reed on Unsplash. Robotics research is one of the major fields within deep technology.

The Long Development Cycle

One of the most important features of deeptech startups is the long time it takes for them to develop their technologies.

In most cases, digital startups are able to develop a product within a matter of months. However, deeptech startups are able to develop their products only after several years of research and development.

For instance, biotech startups that are developing new treatments for diseases have to conduct extensive research in the labs before the product is ready. This process can take several years before the product is ready for the market.

Due to the long time it takes for deeptech startups to develop their technologies, they require investors who are willing to part with their funds for a long time without expecting returns.

High Research and Development Costs

Deeptech startups also require significantly more financial resources due to the high cost of research and development.

Unlike software startups that mainly invest in programming and marketing, deeptech companies must fund:

• Scientific research
• Laboratory equipment
• Prototype development
• Engineering teams
• Testing and experimentation

These costs make early-stage funding particularly critical for deeptech startups, as they often need substantial capital before generating revenue.

Photo by ThisisEngineering on Unsplash. Scientific research and laboratory work are central to deeptech innovation.

Higher Technical Risk

Another major challenge facing deeptech startups is technical risk.

For instance, the technologies being developed are mostly based on experimental research or new scientific discoveries. This, therefore, means that there is always uncertainty about the performance of the technology and whether it will take more years of development.

For traditional startups, the major risk is market risk, meaning that the product may not sell if it is not adopted by the market. However, for deeptech startups, the risk is double, meaning that they are facing both market and technical risks at the same time.

Because of this, it is crucial for investors investing in deeptech startups to consider the scientific and economic value of the technology.

The Role of Specialized Investors

Due to the unique challenges associated with deep technology innovation, deeptech startups often rely on specialized investors who understand scientific research and long development timelines.

These investors may include:

• Government research programs
• University innovation funds
• Deeptech venture capital firms
• Corporate research partnerships

Organizations such as NASA have historically supported technological breakthroughs that later became commercial innovations.

Such funding sources recognize that deeptech innovation requires patience, long-term investment, and a strong understanding of scientific development.

Deeptech startups are one of the most important factors in technological advancements within the modern economy. By creating revolutionary technological innovations within industries such as artificial intelligence, biotechnology, and space technology, deeptech startups have the ability to resolve complex issues within global economies.

However, the process of creating deeptech companies is entirely different from that of traditional startups. Due to long incubation periods, substantial costs, and technological risks, traditional investment strategies are not appropriate for deeptech innovation.

Therefore, deeptech startups require patient capital, specialized investors, and long-term financial support. By changing investment strategies to fit the requirements of deep technology development, investors and institutions can enable revolutionary technological innovations that can change the face of various industries.