Why in the Age of AI, It’s Important to Invest in Thinking, Not Just Product
Today, technology development no longer follows science — it goes hand in hand with it. This is especially noticeable in the field of artificial intelligence, where ideas are born not in marketing departments, but in university laboratories. Here, everything starts with a hypothesis, not a presentation for investors. A prototype is not a pretty wrapper, but the result of dozens of cycles of model training, data analysis, and mathematical calculations. And for such a project to go from an abstract equation to a real product, it requires not just investments, but a deep understanding of the essence of what is happening. Crocus Investments is one of the few funds that works with such projects not as a business, but as a scientific expedition into the unknown.
Artificial Intelligence as a Continuation of Science
Startups creating AI solutions are increasingly becoming not commercial initiatives in the traditional sense, but a logical continuation of academic research. They are something between a laboratory and a technology company. Their founders are not typical startuppers, but physicists, mathematicians, engineers who think not in terms of profit, but in terms of accuracy, probability and optimization. This does not mean that they do not want to develop a business. Their path is simply different. It begins with asking a question, then an experiment, data collection, verification, and only then an attempt at commercialization. Such a process requires time, patience and, most importantly, the right partner.
Investor as a scientific partner, not just a financier
The traditional venture model, which assumes rapid growth, multiple metrics and presentations in English with the obligatory hockey stick curve, does not work well in the case of deep tech. Here, it is not enough for an investor to be a market expert – he needs to be a bit of a researcher, a bit of an engineer, a bit of a philosopher. A fund working with such projects must be able to recognize not only the prospects for profitability, but also the potential of the hypothesis, the strength of the idea, the quality of the code. In this sense, the role of the fund becomes akin to the role of a scientific director: to direct without interfering; to support without interfering; to set the vector without dictating the route.
That is why Crocus Investments places a special emphasis on supporting startups at the moment when they are not yet ready for scaling, but are already moving beyond the academy. Such projects are particularly vulnerable: they have scientific novelty, but no experience in product design; they have unique technology, but no understanding of the user scenario. It is at this moment that the fund can play a key role, providing not only financing, but also “translation” between the languages of science and business.
Symbiosis of Mathematics and User Experience
One of the biggest misconceptions is that science and user experience are supposedly opposites. In fact, they go together beautifully — if you let them meet. Artificial intelligence is a particularly good example of this symbiosis: models based on deep neural networks are becoming not hidden algorithms, but open interfaces between humans and machines. They recognize speech, make predictions, and help make decisions. But for them to be truly useful, you need to not only come up with a model architecture, but also “wrap” it in a clear, logical, human interface.
The projects that Crocus Investments invests in are at this crossroads. They combine mathematical rigor with a practical task. They do not sacrifice scientificity for the sake of simplification, but on the contrary, they find a way to make the complex accessible. This requires multidimensional thinking from the team, and from the investor – the willingness to support such efforts, not reducing them to ordinary KPIs.
From laboratory to market
When a startup leaves the lab, it faces a world where everything is different: speed, packaging, go-to-market strategy are important. Many research teams simply get lost in this noise. They do not know how to “sell” their ideas, but they know how to prove theorems. Therefore, their success depends on who is there at this transitional moment.
The role of the foundation is not to demand results, but to build an environment where such results become possible. This requires infrastructure: technical, methodological, mentoring. But most importantly, it requires trust. Including trust that the experiment may not work, the hypothesis may not be confirmed. And still, this is moving forward.
Breakthroughs are born at the border
History shows that real breakthroughs rarely happen where everything is clear. They arise at the border of disciplines, at the intersection of science and practice, where there are no ready-made answers. That is why it is so important to support those startups that are not afraid to go deep, are not afraid of failure, are not afraid of being misunderstood. Because they are the ones who create what in five years will be called the “new standard”.
Crocus Investments is not betting on trends, but on the foundation. This is not a game of predicting the future, but working with its building material – with those who are now sitting at laptops and notebooks, writing formulas, building models and testing reality.
And if tomorrow we are surprised by another technological leap, most likely it will start with one line of code written by a person who thought like a scientist – and an investor who understood it.
