Sesame Summit 2026 – application open

Active Label: Innovating Cold Chain Management

The name “Active Label” was thoughtfully selected to emphasize its proactive, real-time temperature monitoring technology for temperature-sensitive products. “We wanted the name to capture the dynamic and continuous functionality of our labels,” said CEO Carlo Ricci. “Active” highlights continuous temperature tracking, while “Label” refers to the smart, non-electronic tags seamlessly integrated into packaging. Together, they ensure product safety and freshness throughout the supply chain, addressing concerns in industries like food and pharmaceuticals.

Cold chain management

Tackling Global Cold Chain Challenges

Cold chain management inefficiencies result in the loss of about one-third of food produced for consumption, contributing to both economic losses and environmental impact. “Our innovative solution addresses these challenges by providing real-time temperature and time monitoring,” Carlo stated. Active Label’s patented technology ensures that products are stored and transported under optimal conditions, reducing waste, improving safety, and ensuring regulatory compliance. This applies to both the food and pharmaceutical industries, where temperature-sensitive medications also face storage issues.

Research-Driven Innovation

Active Label’s founding team consists of researchers from the University of Cagliari, united by their expertise in materials science and optical technology. “Our academic collaboration naturally led to the development of our smart label,” Carlo shared. With a strong partnership with the university, the team combines research with real-world applications to push the boundaries of temperature monitoring technology. This collaboration ensures the retention of intellectual property while leveraging valuable academic resources.

Targeting Critical Industries

Active Label’s smart temperature monitoring system targets industries where temperature control is essential. “Our primary audience includes food producers, pharmaceutical companies, logistics providers, and large retailers,” Carlo noted. The system ensures real-time, accurate data for temperature-sensitive products like dairy, seafood, medications, and vaccines. Additionally, insurance companies benefit from reliable data, which helps assess risks during storage and transportation, ultimately reducing costs and enhancing product integrity.

Cold chain management

Differentiating in a Competitive Market Around the Cold Supply Chain

Active Label stands out in a market dominated by electronic temperature monitoring systems. “Our competitors, often use expensive electronic devices that offer limited data,” Carlo explained. Active Label’s patented system provides a cost-effective, non-electronic solution that monitors time and temperature, offering detailed product insights. It’s eco-friendly, scalable, and easily integrated into existing packaging for mass production.

Poised for Expansion

Since its 2023 launch, Active Label has rapidly grown through key partnerships and investments. Backed by Eureka! Venture SGR Spa and collaborate with industry leaders like Rovagnati and Smeralda, the company is conducting real-world testing of its technology. “These partnerships are crucial for commercial validation,” noted Carlo. Aiming for industrial validation by 2024 and commercial agreements, Active Label joined SIAL Startup Village to boost visibility, attract investors, and network with industry leaders. Focused on innovation and sustainability, they aim to revolutionize cold chain management for temperature-sensitive products.

Cold chain management
📸: Active Label

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Fundraising 3 hours ago

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. Ineffable’s wager is that the marginal returns on scaling text-based pretraining are diminishing and that the next leap in capability will come from agents that learn endlessly from the consequences of their own actions, in much the same way AlphaZero learnt the game of Go without studying any human matches. Why $1.1 billion at seed The size of the round is unusual even by the inflated standards of the 2026 AI capital cycle. Two factors appear to explain it. First, frontier reinforcement learning at the scale Ineffable describes is computationally extraordinarily expensive: the company will need to operate vast simulation environments and train very large models against them, an undertaking that consumes capital at a rate closer to physical R&D than to traditional software. Second, the round signals a strategic move by Europe’s investor and policy ecosystems to retain the most ambitious AI researchers on the continent. The presence of the UK Sovereign AI Fund alongside Sequoia, Lightspeed and Nvidia is the clearest expression of that intent. The British government has publicly framed the investment as a bet on breakthrough AI that “can discover new knowledge”, positioning the country as a willing co-investor in domestic frontier laboratories. For Ineffable, the implication is access not only to capital but to compute, regulatory engagement and the still-resilient academic talent base around UCL, Oxford, Cambridge and Imperial. Founder pledge of historic scale Alongside the funding announcement, Silver disclosed that he is committing 100 per cent of any personal proceeds from his Ineffable equity to charity via the Founders Pledge network — described by the organisation as the largest pledge in its history. At the round’s $5.1 billion valuation, that commitment could ultimately exceed several billion dollars if the company succeeds. It is a meaningful gesture in a sector where the reputational stakes around concentrated AI wealth are escalating, and one likely to be referenced in subsequent founder-led commitments. Implications for the European AI landscape Ineffable’s emergence reshapes the European AI map in three concrete ways. It establishes London as the home of the continent’s largest-ever seed-stage company, complicating Paris’s recent narrative of frontier-AI primacy after Mistral’s earlier rounds. It validates a thesis — that reinforcement learning, not transformer scaling, is the next frontier — that has lately been losing capital share to language-model incumbents. And it confirms that the UK government is now willing to act as a balance-sheet co-investor in domestic AI laboratories, a posture much closer to the French model than to the predominantly grant-based regimes elsewhere in Europe. The execution risk is non-trivial. Reinforcement learning at frontier scale has historically required years of careful environment design before producing competitive systems, and Ineffable’s “first contact” framing sets a high bar against which it will be judged. But for now, with a billion dollars on the balance sheet, four of the discipline’s most accomplished researchers in the founding team and a sovereign co-investor at its back, Ineffable Intelligence is the most heavily resourced new entrant in the European AI cycle. Sesamers covers European fundraising rounds across deeptech, fintech and AI. Source: tech.eu.

Fundraising 5 days ago

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