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Frenetic
07.11.23 3

Madrid-based Frenetic bags €11.2 million Series A

Frenetic, a pioneer in custom magnetics technology, announced a €11.2 million Series A led by Kibo Ventures. Existing investors 42Cap, Join Capital, Bankinter, Bonsai, and Big Sur participated in the round. The funding will enable the company to embark on an ambitious new manufacturing project, open an office in Silicon Valley and expand its presence in the US. To date, Frenetic has raised €17.7 million.
EU Startups EU Startups
IPRally
06.02.24

How AI is Transforming Patent Intelligence in 2024

2023 was a breakthrough year for AI technology, marked by the rise of generative AI with a multitude of new GPT models and advanced diffusion models. These achievements, years in the making, were made possible by ongoing research and development far from the public eye. Yet, generative AI is only a part of the vast landscape of AI innovation. Specialized models are tackling unique challenges across various domains, including patent intelligence As we look ahead to 2024, the big questions are – how will 2024 and beyond shape up for the patent industry with respect to technology? How are the AI models that work in the background of patent search evolving? Where do the Large Language Models (LLMs) fit in? What big changes are heading our way?
IPRally IPRally Blog
Generative Engineering
22.11.23

Generative Engineering raises €4 million to supercharge engineers with impact-efficient tools

Generative Engineering, a London-based software company on a mission to vastly improve the overall efficiency of physical engineering, has successfully closed a €4 million pre-seed round led by EQT Ventures with participation from Join Capital. The engineering of complex physical products, such as those within the automotive and aerospace industries, is a slow, inefficient and capital-intensive process. Engineering tools have not kept up with the increasing complexity of modern products, and today, engineers working on product development typically take a single design through a multi-year, highly manual process. This usually involves collaboration issues, information loss, mistakes, rework and often failure.
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