Blockchain investment: What do VC funds look for in AI and blockchain startups?

Blockchain investment has evolved far beyond the purchase of cryptocurrencies and tokens. Venture capital firms are increasingly focusing on projects capable of developing advanced technological solutions that combine artificial intelligence and blockchain. This remains a relatively emerging sector and, consequently, one that many investors are still learning to understand. 

Why are VC funds investing in these startups? Because they have the potential to generate efficiency, improve security, and create long-term value, provided that the projects can demonstrate the necessary guarantees. 

Blockchain ecosystems continue to evolve and are particularly attractive for scientific and technological ventures that aim to enhance research processes, optimize data management, and implement innovative business solutions.

At the same time, specialized investment funds and blockchain-related exchange-traded funds (ETFs) have emerged, making it easier for traditional investors with less technical expertise to access high-potential opportunities without having to manage crypto assets directly. 

These investment vehicles contribute to the democratization of innovation by supporting projects that deliver tangible, measurable, and scalable impact. 

They also encourage sustainable development within sectors that are strategically important for society, although challenges related to regulation, adoption, and technical feasibility remain.

As we have seen, blockchain investment is undergoing a significant transformation. According to data. published by the Spanish Business Angels Association in 2025, AI-driven companies attracted 62% of venture capital investment in the United States and Canada during 2024.

But what exactly are investors looking for?

Technological innovation must prove itself in real-world environments.

For example, imagine a healthtech startup that develops an AI system capable of diagnosing dermatological conditions remotely with 95% accuracy in laboratory conditions. 

However, after deployment in real clinical settings, it becomes apparent that the algorithm was trained mainly using images from patients with lighter skin tones and therefore performs less effectively for people with darker skin.

This example illustrates that innovation may solve important problems, but when implemented incorrectly it can also create risks for companies, investors, users, and entire systems. VC funds therefore value innovation that has been validated under real operating conditions rather than solely in controlled environments.

Sustainable growth is another factor that investors prioritize. VC funds tend to focus on:

• Clear business models. 
• Demonstrable growth metrics. 
• Specific strategies for entering new markets. 
• Technical robustness capable of maintaining quality while scaling. 

A strong growth strategy significantly improves a startup's ability to attract high-quality investment.

Ultimately, teams build technology, and investors know it. For this reason, venture capital firms evaluate more than technical innovation. They assess a team's ability to execute responsibly and consistently.. 

During due diligence processes, investors examine technical, social, and regulatory risks associated with AI models. This helps identify vulnerabilities in data, algorithms, governance systems, and operational practices before they develop into reputational or regulatory challenges.

Startups that follow responsible AI practices often achieve stronger valuations and are better positioned for future funding rounds, increasing their likelihood of long-term success. 

Investors typically look for: 

• Strong scientific and technical expertise.
• The flexibility to pivot when evidence and data suggest a change of direction.
• A governance mindset that incorporates ethical and regulatory frameworks from the beginning. 

Teams that combine these qualities inspire confidence and attract investor interest.

Not every blockchain startup requires a token. In fact, most scientific and technology startups, including those in biotechnology, healthtech, cleantech, and energy innovation, operate perfectly well without token-based models. 

These businesses are generally financed through traditional venture capital, public grants, angel investors, and equity funding rounds.

However, when tokens are genuinely justified, the tokenomics must be completely transparent. Investors need clear answers to questions such as: What is the total token supply? What real utility does the token provide? How does the token create and maintain value? How and when will tokens be distributed?

Without legal and financial clarity surrounding these assets, investor confidence can quickly erode.

Institutional commitment to the AI and blockchain ecosystem continues to grow. The European Commission has launched a dedicated investment initiative with an initial allocation of €100 million, with the capacity to grow to between €400 million and €500 million during its first phase through the participation of specialized private venture capital funds.

In conclusion, while the potential of artificial intelligence and blockchain is undeniable, so are the challenges. Algorithmic bias, unexplained model failures, privacy concerns, and the misuse of data are all risks that require careful management and responsible investment practices. 

For this reason, venture capital firms increasingly seek projects supported by strong teams, robust governance frameworks, and technologies that solve real problems while creating sustainable value. 

Bolboreta Impulsa, part of Bolboreta Innova Group, is an example of this approach. We support scientific and technological startups applying artificial intelligence, blockchain, virtual reality, and other advanced technologies to address real-world challenges in high-impact sectors. 

If you are looking for funding and strategic support for your project, get in touch with us. and let us explore how we can help accelerate your technological and commercial growth.