Why We Built Kaytoh

Every innovation ecosystem eventually reaches the same question. Once knowledge has been created, protected and evaluated, how do we ensure it actually becomes useful? The answer is rarely about producing more research. More often, it is about creating better ways to understand, navigate and activate what already exists.

For most of the modern knowledge economy, the dominant challenge was creation.

Governments invested in universities. Research institutions expanded. Funding programmes supported scientific discovery. Across Europe, enormous effort was devoted to building the capabilities required to generate new knowledge at scale.

The results speak for themselves. Europe today possesses one of the world's most sophisticated research ecosystems. Its universities rank among the global leaders in scientific disciplines ranging from life sciences and engineering to quantum technologies, photonics and advanced manufacturing. Researchers continue to produce discoveries that shape industries, influence policy and advance human understanding. Few regions can match the depth and breadth of Europe's scientific capacity. [1]

Yet despite these strengths, a different challenge has gradually emerged.

As policymakers, investors and universities have become increasingly focused on competitiveness, attention has shifted away from the production of knowledge and toward the movement of knowledge.

The question is no longer simply whether Europe can create innovation. The question is whether Europe can activate enough of it.

A Continent Rich in Knowledge

Innovation discussions often begin with what Europe lacks. A shortage of scale-ups. Insufficient venture capital. Fragmented markets. Regulatory complexity.

These concerns are real, and they deserve attention. At the same time, they can obscure a more fundamental reality.

Europe possesses an extraordinary concentration of intellectual capital. Universities generate new research every day. Research institutes create intellectual property across a wide range of sectors. Publicly funded innovation programmes support thousands of projects each year. Industry collaborates extensively with academic institutions. Patents, publications and technical expertise continue to accumulate at remarkable rates.

The challenge is not scarcity. It is abundance. There is simply more knowledge being generated than existing systems can easily interpret, evaluate and commercialize.

This abundance creates a paradox. The more successful a research ecosystem becomes at generating knowledge, the harder it becomes to identify which opportunities deserve attention.

The Limits of Visibility

Commercialization is often presented as a challenge of technology. In reality, it is frequently a challenge of visibility.

Most opportunities do not fail because they are technically impossible. They fail because they remain difficult to see.

The researcher understands the science. The investor understands the market. The industry partner understands the customer. The university understands the intellectual property. Yet these perspectives rarely exist in the same place at the same time.

As a result, potentially valuable opportunities can remain fragmented across institutions, portfolios and disciplines.

The commercialization challenge therefore begins long before a startup is incorporated or a licensing agreement is signed. It starts with discovery. Not scientific discovery. Commercial discovery.

The discovery of relevance. The discovery of application. The discovery of value.

What Recent Policy Signals Tell Us

This challenge increasingly sits at the centre of European innovation policy.

The European Commission's work on the European Innovation Act explicitly addresses the commercialization of research, the exploitation of intellectual property, and the need for stronger connections between academia and industry. At its core lies a recognition that Europe generates significant innovation but often struggles to bring sufficient amounts of it to market. [1]

The competitiveness debate that followed the publication of Mario Draghi's report points in a similar direction. The challenge identified is not a shortage of scientific capability. Rather, it is the difficulty of converting scientific strengths into sustained economic leadership.

At the same time, studies such as the Redstone University Index suggest that the gap between research creation and entrepreneurial outcomes remains substantial. Differences in startup generation across European institutions indicate that scientific excellence alone does not determine commercialization performance. The systems surrounding research appear to matter just as much. [2], [3], [4]

Taken together, these developments point towards a broader shift. Innovation is increasingly becoming an information challenge.

Beyond Patents and Portfolios

For decades, intellectual property management focused primarily on protection. The objective was straightforward. Protect the invention. Secure ownership. Preserve optionality.

Those goals remain important. But they are no longer sufficient.

As research portfolios continue to grow, universities, investors and industry face a different problem. How do you prioritize? How do you determine which opportunities deserve additional attention? How do you identify technologies that may be commercially important years before market signals become obvious? How do you establish a shared understanding of value when future outcomes remain uncertain?

These questions cannot be answered through patent filings alone. They require context. Interpretation. Visibility.

They require mechanisms that help people understand not merely what exists, but what might become possible.

The Importance of Shared Understanding

One of the recurring themes running through recent developments in European commercialization is the growing importance of common frameworks.

The Innovation Readiness Level methodology developed at KTH represents one effort to create a more structured understanding of how innovations progress towards adoption. The TenU initiative sought to create greater consistency around university spin-out formation. Danish licensing reforms introduced more standardized approaches to intellectual property agreements.

Each addresses a different challenge, but they share a common objective. Reducing uncertainty. Creating transparency. Helping participants operate from a shared understanding of opportunity. [3]

This may ultimately prove one of the most important developments within Europe's innovation ecosystem. Commercialization functions best when researchers, investors, industry and universities can see opportunities through a common lens. The easier opportunities become to understand, the easier they become to activate.

Why We Built Kaytoh

The idea behind Kaytoh emerged from a simple observation.

Europe does not lack knowledge. It lacks visibility into knowledge.

Across universities, research institutions and innovation ecosystems, enormous quantities of expertise and intellectual property already exist. The challenge is helping the right people understand what is there, what it might be worth, and where it might lead.

This is not simply an intellectual property challenge. It is a competitiveness challenge. A commercialization challenge. An innovation infrastructure challenge.

The future of research impact increasingly depends on making complex knowledge easier to navigate, evaluate and communicate. It depends on reducing information asymmetries between researchers and investors, universities and industry, science and markets.

Most importantly, it depends on making opportunities discoverable before they become obvious.

The Next Chapter

The coming decade is likely to place growing emphasis on commercialization, research impact and innovation-driven growth.

Universities will continue generating new scientific discoveries. Policymakers will continue seeking stronger economic returns from research investment. Industry will continue searching for technological advantage. Investors will continue looking for breakthrough opportunities.

The question is whether the systems connecting these actors evolve quickly enough to keep pace.

Europe's future may ultimately depend less on discovering more knowledge and more on activating a greater share of the knowledge it already possesses. That is the challenge we believe is worth solving.

Because before every successful startup, before every licensing agreement, and before every commercial breakthrough, there is usually a period in which the opportunity itself remains difficult to see.

Making those opportunities visible is where impact begins.

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