Alpha.one raises €1.8 million for AI platform that predicts advertising effectiveness

Amsterdam-based alpha.one has raised €1.8 million in growth capital. The round was led by Orange Mills Ventures, the investment vehicle of deeptech investor Cees Meeuwis. Alongside Orange Mills Ventures, CMI and the company's own management team also participated in the funding round.

Alpha.one was founded in 2015 by Coen Olde Olthof and Daan van der Wiele. The company combines neuroscientific research with AI to predict how effectively marketing content will perform before it goes live. The platform is built on clinically validated brain data collected through more than ten years of research and a collaboration with Erasmus University.

With the new investment, alpha.one intends to further train and develop its AI platform. A key part of that is the rollout of Sendō, an optimisation engine that not only predicts but also actively provides recommendations to improve content.

From predicting to active optimisation

Alpha.one currently offers several products, including junbi and expoze. Junbi focuses on analysing content before publication, while expoze is used to map viewer attention. Sendō represents the next step: where the existing tools are primarily descriptive and predictive, Sendō is designed as an engine that actively contributes ideas on how content can be improved.

The platform claims a prediction accuracy of 95 percent on so-called saliency predictions, which determine which elements in an image or video attract the most attention. In total, alpha.one has made more than 100,000 predictions for clients.

Neuroscience as the technical foundation

The core of the platform lies in the connection between neuroscientific research and machine learning. Through its collaboration with Erasmus University, alpha.one has built a dataset of brain responses to visual stimuli. This data serves as the training material for the AI models the company develops.

This approach sets alpha.one apart from parties that work exclusively with click data or surveys. Brain data is considered to provide a more reliable signal regarding unconscious attention and emotional response, although translating laboratory conditions to real-world media consumption remains a methodological challenge that is regularly debated within the broader neuromarketing sector.

Growth plans and financial expectations

Alpha.one intends to use the raised capital to expand further in Europe, the United Kingdom, and the United States. The company expects to be cashflow-positive by mid-2026. This timeline suggests that the current round is primarily intended to accelerate product development and build commercial traction in new markets, rather than to finance operational losses over a longer horizon.

Investor Cees Meeuwis, who led the round through Orange Mills Ventures, is well known as an active participant in the Dutch deeptech scene. The involvement of the company's own management team as co-investors points to internal confidence in the chosen direction.

Position in the Dutch AI ecosystem

Alpha.one operates at the intersection of cognitive science and marketing AI, a niche with relatively few specialised players in Europe. The combination of a scientific data foundation via a Dutch university and a commercial SaaS model is a pattern seen at other Dutch AI companies as well, but is less common in the marketing technology sector than in, for example, healthcare or logistics.

For investors and founders elsewhere in the ecosystem, the round serves as an example of a seed-to-growth trajectory in which scientific collaboration is positioned as a defensible competitive advantage. Whether that foundation provides sufficient differentiation in a market where large technology platforms are increasingly offering their own creative optimisation tools remains to be seen in the period ahead.