The Journey of a Quantum & Deep Tech Company
When we talk about building a quantum or deep tech company, we’re not talking about a typical startup journey. We’re talking about a structured evolution—from pure science to global industrial impact—where each stage fundamentally changes the risks, talent, and capital required. Here’s how that journey really unfolds: 1. Research / Concept It starts with science.
When we talk about building a quantum or deep tech company, we’re not talking about a typical startup journey. We’re talking about a structured evolution—from pure science to global industrial impact—where each stage fundamentally changes the risks, talent, and capital required.
Here’s how that journey really unfolds:
1. Research / Concept
It starts with science. Publications, patents, and early prototypes define this phase, often within universities or research institutions. Funding is largely grants and angel capital, and teams are small (1–10). The biggest risk? Does the science even work outside the lab?
2. Spinout / Formation
IP becomes a company. Founders form, early strategy is defined, and pre-seed funding is secured. Teams grow slightly (5–20), and the focus shifts to building an MVP and exploring whether there’s a real-world problem worth solving.
3. Seed / Early Validation
Now it’s about proving there’s a business—not just a breakthrough. Working prototypes, pilot customers, and early technical validation take centre stage. With 10–40 people, companies begin engaging with deep-tech VCs and strategic investors. The key question: Can this scale into a viable company?
4. Series A / Productisation
The shift from science to engineering happens here. Robust systems, manufacturing strategies, and early revenue emerge. Teams expand (30–100), and hiring leans toward experienced engineers and operators. Risk moves to execution: Can we reliably build and deliver this technology?
5. Scaling / Commercial Expansion
With product-market fit in sight, the focus turns to growth—sales, partnerships, and global operations. Teams jump to 100–500+, and funding typically comes from growth VCs and strategic investors. The challenge: Can we scale without breaking the business?
6. Industrialisation / Market Leadership
This is where deep tech separates itself. Building factories, setting industry standards, and expanding into adjacent markets becomes critical. Organisations reach 500–5000+ people. The question: Can we defend and lead the category globally?
7. Exit / Public Markets
Finally, companies realise long-term value—through IPO, acquisition, or sustained private growth. Buyers often include tech giants, semiconductor firms, or industrial conglomerates.
The Reality?
Deep tech takes longer (often 7–15 years), requires more capital, and carries higher technical risk early—but it also builds stronger IP and creates entirely new markets.
The biggest shift across this journey? Moving from scientists to operators, prototypes to manufacturing, and research to revenue.
That’s the roadmap—from science to global impact.
