170 Dutch startups work on education and learning, but rarely in a classroom

More than 170 Dutch startups count education and learning as a core part of their mission, but anyone expecting digital learning tools for schools will be disappointed. The classic classroom is almost never involved. What unites these companies is that knowledge transfer, educating users, employees or systems, is inseparable from their product.

The companies operate across a wide range of sectors: healthcare, industry, fintech, biotech and legal services. That makes the group diverse, but also telling. Knowledge-intensive sectors are increasingly turning to startups that do not merely deliver software, but must also transfer the accompanying expertise to make their product work.

What these companies have in common

A pattern emerges when you go through the list of startups. Companies such as FRISS (Utrecht, founded 2006) and SYMSON (Rotterdam, founded 2011) do not sell a simple plug-in. FRISS automates fraud detection for property and casualty insurers and raised a Series B of €59.4 million in 2024. SYMSON offers AI-driven pricing software for dynamic margins and closed a Series B of €59.8 million in 2022. In both cases, the technology only delivers value when the customer understands how to use it. Onboarding and knowledge transfer are not an afterthought, they are built into the business model.

The same applies to Sensorfy (Eindhoven, founded 2009), which provides IoT solutions for predictive maintenance in industry. The company raised €45 million in a Series C in 2019. Industrial customers are not just buying sensors; they also need to learn how to translate signals from machines into maintenance decisions. The learning component is embedded in the product, not alongside it.

Knowledge transfer in healthcare and life sciences

Kaiko (Amsterdam, founded 2021) develops an AI assistant that supports clinicians within existing clinical workflows. Having raised €82.5 million in a Series B in 2022, it is one of the better-funded names on the list. Kaiko's challenge is not only technical: an AI tool integrated into a clinical environment requires healthcare professionals to understand when they can trust the assistant and when they cannot. That is a training question.

Cradle (Amsterdam, founded 2021) accelerates protein design using machine learning and its own laboratory research. In January 2024, the company closed a Series B of €100 million. Cradle works with scientists who need to be able to interpret machine learning output. Bridging biological expertise and AI outcomes requires active knowledge-building on the part of users.

Document processing and legal knowledge

Clember (Utrecht, founded 2023) focuses on cybersecurity analyses for consultants and promises to complete processes that normally take weeks in a matter of minutes. Doxray (Neede, founded 2014) automates document processing and data extraction for European organisations and raised funding in early 2025 through a Nordic Bond and a Series D extension of €85 million. Both companies operate in environments where errors carry serious consequences: legal advice and compliance. That makes it all the more relevant that users do not blindly trust the output, but learn how to critically evaluate AI results.

Genzai (Venlo, founded 2017) combines AI implementation with venture capital for mid-sized companies, with an explicit focus on measurable returns. The company raised €333 million in 2024. Its target audience, SMEs looking to adopt AI, typically has limited in-house AI expertise. Building knowledge within the customer organisation is not optional here; it is a prerequisite for success.

Hardware and infrastructure with a learning dimension

Crownstone (Rotterdam, founded 2016) develops battery-free indoor positioning for people and objects in buildings and raised €120 million in a seed round in 2016. The technology has applications in hospitals, offices and industrial environments. Wherever it is deployed, administrators and end users must learn how to make meaningful use of location data.

Weaviate (Amsterdam, founded 2019) offers an open-source vector database for semantic search at scale and raised €45.7 million in a Series B in 2024. As an open-source product, Weaviate relies heavily on developer community engagement. Documentation, tutorials and community knowledge are not a marketing activity, they are central to how the product spreads and improves.

What this says about the Dutch startup ecosystem

The breadth of the list shows that knowledge intensity is increasingly a natural component of what a startup sells. Companies such as FRISS, Cradle and Sensorfy operate in entirely different markets, but share the characteristic that their product only works when users grow alongside it. That places demands on how these startups structure their customer relationships: implementation, training and knowledge sharing are part of the proposition.

For investors and policymakers in the Netherlands, this is relevant. A startup that systematically strengthens its customers' ability to use new technology builds a more durable position than a company that simply sells licences. The 170 companies on this list are therefore not only active in education as a sector, they represent a broader trend in which knowledge transfer is deployed as a competitive advantage, right across the Dutch economy.