EQT Ventures leverages generative AI to redefine early-stage investing in Europe

EQT Ventures has integrated cutting-edge AI technology through its proprietary platform Motherbrain to advance venture capital decision-making, highlight Europe’s evolving AI landscape, and prepare for a future dominated by autonomous systems and industry-specific solutions.

EQT Ventures, one of Europe’s leading venture capital investors, has distinguished itself by harnessing artificial intelligence (AI) to transform early-stage investing. With €2.6 billion raised across three funds and investments in over 300 companies , including notable names like Einride, Wolt, Freepik, and Beamery , EQT’s approach marries advanced technology with human expertise to identify and back promising startups.

At the core of EQT’s AI-driven strategy is its proprietary platform, Motherbrain, launched in 2016. This platform employs AI to scan, model, and monitor large volumes of tech startups, enabling the firm to manage the vast investment landscape efficiently. Alexander Fred-Ojala, Head of AI at EQT Ventures, explains that Motherbrain supports the entire investment lifecycle, from sourcing and due diligence through to portfolio value creation, offering a competitive data-driven edge in venture capital. By combining external data sources , including social media activity, market research, academic papers, and internal notes , with sophisticated algorithms, Motherbrain provides interpretable scoring models that help rank opportunities based on factors such as traction, foundation, and relevance to EQT’s investment criteria.

One of the platform’s breakthroughs is the use of generative AI and large language models (LLMs) to analyse unstructured data, a capability that has evolved significantly since the release of GPT-3 in 2020 and escalated with ChatGPT. Fred-Ojala highlights the platform’s ability to aggregate and contextualise information on companies, including past interactions and internal assessments, which was historically buried in disparate notes. This network intelligence not only surfaces opportunities but also enhances collaboration by showing which EQT team members or advisors have prior connections with particular companies.

In an important development, EQT’s Motherbrain integrates a novel algorithm called PAUSE (Positive and Annealed Unlabeled Sentence Embedding), designed to generate numerical representations from company descriptions. This allows the platform to measure similarities between companies without heavy reliance on pre-existing labels or annotations, a technical advancement recognised by its acceptance for publication at the 2021 Conference on Empirical Methods in Natural Language Processing.

Fred-Ojala also addresses the broader AI ecosystem, recognising Europe’s strengths and challenges. While Europe’s AI frontier model development trails major global players by a few months, companies like Mistral are innovating rapidly, and institutions such as DeepMind continue to drive significant breakthroughs from the UK. However, he acknowledges that building frontier models is highly capital-intensive and suggests that Europe’s greatest opportunity lies not in foundational models but in vertical, industry-specific AI applications. European markets, with their complexity and diversity, offer fertile ground for solutions that optimise specialised workflows across sectors such as biotech, materials science, and optimisation.

EQT’s analysis of AI innovation across Europe reveals a dynamic landscape extending beyond traditional hubs like London, Paris, and Berlin. The firm categorises regional ecosystems into Full-Stack Powerhouses like Stockholm , boasting over 50 AI startups and €205 million in investment , Founder Factories such as Tallinn, noted for the highest AI startup density per capita in Europe, and Money Magnets exemplified by academic powerhouses Heidelberg and Cambridge, which attract substantial funding despite a smaller startup volume.

When it comes to defensibility in AI startups, Fred-Ojala notes a fundamental shift. The previous moat of technical complexity has diminished due to accessible AI tooling that accelerates product prototyping. Success now hinges on velocity , the rapid adoption of AI workflows , alongside strong distribution networks, brand presence, and deep domain expertise. He advises founders to focus on solving one or two problems exceptionally well rather than diluting effort across many, warning against generic product wrappers that lack sustained value.

Looking ahead, Fred-Ojala envisions a paradigm shift akin to the advent of electricity or the internet. The emergence of agentic AI , systems that can autonomously manage workflows and solve complex problems , is set to redefine knowledge work across fields including biotech, maths, and physics. AI is already moving beyond augmenting human tasks to actively generating new algorithms and solutions, signalling transformative potential. He anticipates significant disruption in service industries like legal, finance, and customer support, with software interfaces becoming increasingly adaptive and fluid. Furthermore, he predicts a renaissance in technologies like augmented and virtual reality, alongside advances in humanoid robotics poised to contribute meaningfully to various sectors.

Fred-Ojala contrasts AI’s substantial problem-solving capacity with the earlier blockchain hype, noting that while crypto technologies often struggled to find immediate practical use, AI is actively creating value today. The principal challenge is no longer technology itself but the human aspect , changing workflows, mindsets, and organisational habits to fully harness AI’s capabilities.

In sum, EQT Ventures exemplifies a new era in venture capital, where AI acts as an indispensable ally in sourcing, evaluating, and nurturing startups. The firm’s continued investment in proprietary technology like Motherbrain underscores the increasing importance of data-driven decision-making in the industry. As AI advances rapidly, Europe’s nuanced markets and diverse ecosystems may well become breeding grounds for innovative, industry-specific solutions that redefine the future of work and business.

📌 Reference Map:

• ^[1] (tech.eu) – Paragraphs 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15
• ^[2] (EQT Group) – Paragraphs 2, 3
• ^[3] (EQT Group) – Paragraph 3
• ^[4] (EQT Group) – Paragraph 2
• ^[5] (EQT Group) – Paragraph 2
• ^[6] (EQT Group) – Paragraph 2
• ^[7] (Forbes) – Paragraph 2, 6

Source: Noah Wire Services

Noah Fact Check Pro

The draft above was created using the information available at the time the story first
emerged. We’ve since applied our fact-checking process to the final narrative, based on the criteria listed
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Freshness check

Score:
10

Notes:
✅ The narrative is fresh, published today (20 November 2025), with no evidence of prior publication or recycling. The content is original and not republished across low-quality sites or clickbait networks. The article is based on a press release from EQT Group, which typically warrants a high freshness score. No discrepancies in figures, dates, or quotes were found. The inclusion of updated data without recycling older material justifies a higher freshness score.

Quotes check

Score:
10

Notes:
✅ All direct quotes are unique to this narrative, with no identical quotes found in earlier material. No variations in quote wording were noted, and no online matches were found, indicating potentially original or exclusive content.

Source reliability

Score:
10

Notes:
✅ The narrative originates from Tech.eu, a reputable organisation known for its coverage of European technology and startup news. This enhances the credibility of the report. The EQT Group, mentioned in the report, is a well-established investment firm with a public presence and legitimate website, confirming the reliability of the source.

Plausability check

Score:
10

Notes:
✅ The claims made in the narrative are plausible and supported by recent online information. The use of AI in venture capital, particularly by EQT Ventures, is well-documented and aligns with current industry trends. The narrative lacks excessive or off-topic detail unrelated to the claim, and the tone is consistent with typical corporate language. No inconsistencies in language or tone were noted, and the structure is coherent and relevant.

Overall assessment

Verdict (FAIL, OPEN, PASS): PASS

Confidence (LOW, MEDIUM, HIGH): HIGH

Summary:
✅ The narrative passes all checks with high scores, indicating it is fresh, original, and from a reliable source. The claims are plausible and well-supported, with no signs of disinformation or recycled content. The overall assessment is positive, with high confidence in the narrative’s credibility.