Latest Insights & News
Latest news, trends, and insights shaping the future of deep tech innovation and investment.
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Insights
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11/12/2025
Radix Ventures Investment Thesis: Dual-Use Technologies for European Resilience
Leveraging battlefield-proven innovation from the CEE deep-tech ecosystem to build the backbone of Europe’s next industrial and environmental resilience revolution.
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17/11/2025
Radix Ventures invests in Proteine Resources – Polish biotech startup secures nearly €12 million in 2025 to revolutionize pet health
Proteine Resources, a Polish biotech startup, announces a new investment round with participation from Radix Ventures. Radix’s investment extends the €9.5 million financing secured in July 2025 from the European Innovation Council (EIC) Accelerator, bringing the company’s total capital access to nearly €12 million in 2025.
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21/10/2025
Radix has joined the DeepTech Capital Consortium
The DeepTech Capital Consortium is a joint initiative of Poland’s leading deep tech investors – Rubicon Partners, iif.vc, Radix Ventures, and a large group of individual investors associated with the website "Rynkowy Rebeliant".
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News
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21/8/2025
Radix Ventures backs Fluence Technology with investment in world-leading femtosecond lasers
Fluence Technology, founded by four Polish physicists, has secured PLN 28.1 million in funding to accelerate international expansion and product development. As part of this round, Radix Ventures contributed PLN 3 million, joining Vinci S.A. (PLN 19 million) and existing investors.
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Insights
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28/7/2025
Agentic AI: Key challenges and our investment perspective
AI without reliable grounding in facts is a liability. As AI shifts from static chatbots to dynamic, “agentic” systems, the real question becomes: how can these agents think, act, and—critically—tap into the right data?
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Insights
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27/5/2025
Is AI’s hype over — or is a new computing era just beginning?
Generative AI leapt from lab demo to boardroom agenda in record time, but the real-world applications revealed real flaws. Hallucinations, shallow reasoning, and “context amnesia” show that current large language models (LLMs) are statistical parrots, not crystal-clear oracles. Yet each weakness is a door, not a dead end.
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