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WSense Secures €10M for Underwater Wireless Tech

Rome’s ocean depths just got a whole lot smarter. WSense, the Italian deep-tech firm pioneering underwater wireless communication through its “subsea wifi” systems, has closed a €10 million pre-Series B round. The funding brings the company’s total capital raised beyond €25 million and positions it to accelerate expansion across critical infrastructure monitoring and environmental protection sectors.

Indico Capital Partners and SIMEST co-led the round, joining existing backers CDP Venture Capital SGR, SWEN Blue Ocean, RunwayFBU, Axon Partners Group, Fincantieri, and Rypples. The investment underscores growing confidence in WSense’s patented technology that enables real-time data transmission from depths up to 3,000 meters using acoustic and optical communications.

Dual-Use Technology Attracts Strategic Capital

Founded as a Sapienza University spin-off by Professor Chiara Petrioli, WSense has developed what amounts to wifi for the ocean floor. Its wireless networks connect underwater sensors, autonomous vehicles, and robotic systems without cables, opening applications from offshore wind monitoring to submarine cable protection. “The entry of new investors like Indico Capital Partners and SIMEST represents strong recognition of our technology’s value and international growth strategy,” Petrioli said.

The dual-use nature of WSense’s technology particularly appeals to investors. Stephan de Moraes, Managing General Partner at Indico Capital Partners, noted the company “represents the best of Italian deep tech capabilities and opportunities emerging in ocean-related technologies.” With solid industrial partners including Fincantieri, Leonardo, and Saipem, WSense serves both commercial and defense applications.

Targeting a €10 Billion Subsea Market

WSense operates in a rapidly expanding sector. The global underwater domain is projected to reach €400 billion by 2030, with subsea communications alone accounting for €10 billion. Currently, 552 submarine cables spanning 1.4 million kilometers carry 98% of global digital traffic, yet continuous monitoring remains challenging without wireless infrastructure.

The company’s technology addresses this gap by creating mesh networks that adapt dynamically to changing sea conditions. Customers including Italy’s Ministry of Defense, the National Oceanography Centre, ENI, and A2A already deploy WSense systems for infrastructure surveillance, environmental monitoring, and energy transition projects. “We will accelerate development of our solutions for critical infrastructure protection and ocean conservation,” Petrioli added.

Vera Veri, Director of Equity Investments at SIMEST, emphasized alignment with Italy’s internationalization strategy and support for innovative deep-tech startups. The funding positions WSense to pursue aggressive international expansion, particularly in Europe and the Middle East, where offshore energy and marine conservation initiatives drive demand for real-time underwater data systems.

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London-based AI laboratory Ineffable Intelligence has emerged from stealth with a $1.1 billion seed round at a $5.1 billion post-money valuation, the company confirmed on 27 April 2026. The financing is the largest seed round ever raised by a European company and one of the largest first-money-in rounds in the global history of artificial intelligence. The round was co-led by Sequoia Capital and Lightspeed Venture Partners. Participating investors included Nvidia, DST Global, Index Ventures, Google, and the UK Sovereign AI Fund, the British government’s recently established vehicle for backing strategic AI capacity on home soil. A bet on a different path to general intelligence Ineffable Intelligence was founded in 2025 by David Silver, the former Vice President of Reinforcement Learning at Google DeepMind and the principal architect of AlphaGo, AlphaZero and AlphaStar. He is joined by three further DeepMind alumni: Wojciech Czarnecki, Lasse Espeholt and Junhyuk Oh. All four have spent the past decade at the frontier of reinforcement learning research, the discipline behind some of the most consequential demonstrations of machine learning over the past ten years. The company describes its objective as building a “superlearner” — an AI system capable of acquiring knowledge directly from its own experience rather than from human-generated text or imagery. “Our mission is to make first contact with superintelligence,” Silver said in a statement accompanying the launch. “We are creating a superlearner that discovers all knowledge from its own experience, from elementary motor skills through to profound intellectual breakthroughs.” The framing is a deliberate departure from the dominant industry trajectory. Most leading AI laboratories, including OpenAI, Anthropic and Google DeepMind itself, have built large language models trained primarily on the corpus of the internet, then refined that training with human feedback. 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