Deep tech startups are those that are based on advanced and complex technologies, such as AI, blockchain, nanotechnology, etc.
These startups face unique challenges in terms of funding, as they often require significant investments in research and development over a longer period of time before they can bring a product to market. Many of the regular VC funds do NOT have a lifetime that covers the typical lifetime of a DeepTech company [until its exit].
One of the biggest challenges for deep tech startups is that their technologies are often not yet fully developed, meaning not yet proven in the market or even considered as frontier research. This makes it difficult to attract investors looking for more established opportunities. Additionally, for VCs to evaluate potential deep tech startup opportunities, they often require highly specialized expertise, which can be difficult and expensive to find…
Another challenge for deep tech startups is that they often face longer development timelines than startups in other sectors. This means they need to raise more funding over a longer period of time before they can launch their first product. However, investors typically expect that by the end of a Series A round, a minimum viable product is demonstrated to potential customers.
In the context of its target market(s), these are either new and hence not qualified by existing opportunities and/or companies and products, or the new product intends to make an existing market obsolete with its introduction. Either scenario requires not only significant waiting time (which is a different way of saying that a lot can happen in between) but is also often hard to validate due to lack of reliable market research data.
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Generating infrared light isn’t difficult. But generating it on a chip — reliably, efficiently, and compactly — is a different story. Traditional IR sources rely on heating elements. They radiate across a wide range of wavelengths, consume significant power, and require filters to isolate the signals. Manageable in labs, unworkable in wearables.
Innovation tends to follow a familiar path: first, we invent something powerful. Then we shrink it. Only then does it become an everyday part of the infrastructure. But one layer is still missing in today’s technology: sensing beyond the visible.
The journey from concept to market looks very different in traditional tech compared to deep tech. While traditional tech benefits from streamlined processes and quicker iteration, deep tech ventures face longer, more complex cycles due to the groundbreaking nature of their innovations.