What Happens Between a Patent and a Startup?

The most visible moments in innovation tend to attract the greatest attention. Spin-outs celebrate investment rounds. Universities announce licensing agreements. Policymakers highlight successful examples of research creating economic value. Yet the most important decisions in commercialization often occur long before any of these milestones become visible.

Innovation ecosystems have a habit of celebrating outcomes. When a university spin-out secures venture funding, it becomes a case study. When a research-based company reaches international markets, it is presented as evidence that public research investment is generating tangible returns. Successful founders are invited onto conference stages, technology transfer offices highlight notable exits, and governments point to breakthrough firms as examples of national innovation success.

What is less frequently discussed is the long and uncertain period that precedes these outcomes.

Between a patent filing and a startup formation lies a stretch of territory that remains surprisingly difficult to describe. It is rarely captured in statistics, seldom the focus of policy debates, and largely absent from public conversations about innovation. Yet it is precisely during this period that the future of many technologies is determined.

A patent, after all, is not a company. It is not a product, a customer relationship, or a distribution channel. It does not automatically demonstrate market demand, commercial viability or industrial relevance. It is, at its core, a legal mechanism that protects a technical solution.

Everything that follows remains uncertain.

The Assumption at the Heart of Commercialization

Universities have long invested in intellectual property protection as a means of preserving future opportunities.

The logic is straightforward. If a potentially valuable invention emerges from research, protecting it creates the possibility of future licensing, collaboration or venture formation. Without protection, those pathways may become difficult or impossible to pursue.

Yet protection and commercialization are often discussed as though they exist on a continuous pathway. In practice, they are very different activities.

One concerns ownership. The other concerns adoption. The distance between the two can be substantial.

Many university technologies possess strong scientific merit while lacking a clearly identified route to market. Others solve genuine industrial problems but struggle to find partners capable of implementing the solution. Some are technically mature yet commercially undefined. Others may be rich in potential but require years of additional development before becoming viable.

This intermediate space often receives far less attention than either end of the commercialization journey.

Why the Middle Matters

Recent discussions about European competitiveness have increasingly focused on the ability of research systems to generate economic impact. The European Commission's planned European Innovation Act reflects growing concern that Europe excels at producing research but has historically struggled to commercialize enough of its results. Among the priorities identified by the Commission are stronger pathways for research commercialization, improved exploitation of intellectual property and closer collaboration between academia and industry. [1]

These concerns mirror broader observations emerging from the innovation ecosystem. The challenge is rarely a shortage of inventions.

Europe generates intellectual property at significant scale through universities, research organizations and collaborative projects. The challenge is determining which opportunities deserve investment, which technologies possess genuine market relevance, and which pathways offer the greatest chance of success.

Those questions emerge after protection but before commercialization. And they are often the most difficult questions to answer.

The Limits of Technology Alone

Historically, innovation systems have placed considerable emphasis on technical excellence.

This emphasis is entirely understandable. Without strong science, there is little to commercialize. Yet experience repeatedly demonstrates that technical excellence alone rarely determines commercial success.

Many technologies fail despite impressive performance. Others succeed despite technical imperfections. The difference often lies elsewhere.

Customers may value a solution differently than researchers expected. Regulatory barriers may prove more important than technical challenges. Adoption costs may outweigh performance improvements. Competing technologies may gain traction through timing rather than superiority.

What ultimately matters is not simply whether a technology works. What matters is whether it solves a problem people are prepared to pay for.

Recognising this distinction has become increasingly important for universities seeking to improve commercialization outcomes.

A Shift Toward Readiness

One response to this challenge has been the emergence of innovation readiness frameworks.

Among the most influential examples is the Innovation Readiness Level methodology developed by KTH Royal Institute of Technology. Rather than focusing solely on technological maturity, the framework seeks to evaluate a broader set of conditions that influence whether an innovation is likely to create impact. These include market understanding, customer engagement, implementation considerations and business readiness.

The significance of this approach lies in what it attempts to measure. A patent tells us that knowledge has been protected. Innovation readiness asks whether that knowledge is positioned to create value. These are fundamentally different questions.

The distinction becomes especially important during the period between patent creation and startup formation, where uncertainty is at its highest.

Why Some Opportunities Move Faster Than Others

The commercialization process is often described as unpredictable. While this is true to some extent, certain patterns consistently emerge.

Technologies with clear customer demand tend to progress more rapidly. Research teams that engage with industry early often gain valuable insight into implementation challenges. Universities with strong entrepreneurial networks frequently identify founders and commercial partners more efficiently than those operating in isolation.

Conversely, technologies that remain disconnected from market realities can struggle even when their scientific foundations are exceptionally strong.

The challenge for institutions is that these factors are not always visible at the point of invention disclosure. At the moment a patent is filed, future outcomes remain largely unknown.

Commercialization therefore becomes a process of reducing uncertainty. Each conversation with a customer, partner, entrepreneur or investor helps transform possibility into evidence.

The difficulty is deciding where to invest those efforts.

The Scale Problem

As research portfolios expand, this challenge becomes increasingly difficult.

Technology transfer offices must constantly allocate limited resources across large numbers of opportunities. Every hour spent evaluating one technology is an hour unavailable for another. Every investment in market assessment or commercial development reflects a prior decision about where attention should be directed.

This reality creates an unavoidable problem. Not every patent can receive the same level of evaluation. Not every opportunity can be explored exhaustively. Institutions must choose.

The quality of those choices often determines commercialization outcomes. Yet the decision-making process itself remains surprisingly difficult to measure.

Most universities can report patents filed, licenses signed and spin-outs created. Far fewer can confidently describe how many promising opportunities were overlooked before reaching those milestones.

Rethinking the Commercialization Journey

The tendency to focus on outcomes is understandable. Startups are visible. Licensing deals are visible. Investment rounds are visible.

The activities that occur beforehand are much harder to observe. Yet the future competitiveness of European innovation ecosystems may depend increasingly on what happens during this hidden stage.

The Redstone University Index highlighted significant differences in entrepreneurial performance between institutions with comparable resources, suggesting that commercialization effectiveness is influenced by much more than research quality alone. Processes, networks, incentives and institutional capabilities appear to play a major role in determining outcomes. [2], [3], [4]

This places greater importance on understanding the journey between invention and entrepreneurship. Not merely protecting ideas. But evaluating them. Not merely filing patents. But interpreting possibilities. Not merely preserving optionality. But identifying pathways.

Beyond Protection

For much of the modern innovation economy, intellectual property protection has been treated as an endpoint. A successful patent filing represented progress.

Increasingly, institutions are beginning to view it differently. Protection is becoming the beginning of a conversation rather than the conclusion of one.

The important question is no longer simply whether a university can generate intellectual property. The more difficult question is whether it can identify which intellectual property has the potential to become something more.

That challenge sits at the centre of the space between patents and startups. It is where technologies acquire context. Where assumptions meet markets. Where research begins its transformation into economic activity.

And it is increasingly where the future of innovation competitiveness will be decided.

Sources

1. DigitalEurope. (2025, October 3). A European Innovation Act to boost commercialisation and enable growth. https://cdn.digitaleurope.org/uploads/2025/10/DIGITALEUROPE-European-Innovation-Act-to-boost-commercialisation-and-enable-growth-03102025.pdf
2. European Commission, Directorate-General for Research and Innovation. (2025, December 4). Commission concludes public consultation on the European Innovation Act. https://research-and-innovation.ec.europa.eu/news/all-research-and-innovation-news/commission-concludes-public-consultation-european-innovation-act-2025-12-04_en
3. European Commission, Directorate-General for Research and Innovation. (n.d.). European Innovation Act. Retrieved August 7, 2026, from https://research-and-innovation.ec.europa.eu/strategy/support-policy-making/shaping-eu-research-and-innovation-policy/european-innovation-act_en
4. European Parliament. (n.d.). European Innovation Act. Legislative Train Schedule. Retrieved August 7, 2026, from https://www.europarl.europa.eu/legislative-train/theme-a-new-plan-for-europe-s-sustainable-prosperity-and-competitiveness/file-european-innovation-act