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Alternative Proteins: Innovations and Challenges

Why We Need Alternative Proteins

The environmental impact of traditional protein sources is immense. As Sirli explains, “Producing protein from animals is very environmentally demanding and inefficient.” With global meat consumption on the rise, alternative proteins offer a sustainable way to meet nutritional needs while mitigating climate change. Whether it’s plant-based, fermented, or cultivated, these new protein sources are designed to complement traditional ones, making food production more eco-friendly.

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The Mycoprotein Advantage

One of the most promising innovations in alternative proteins is mycoprotein, derived from fungal mycelium. Sirli highlights its benefits: “We don’t need any arable lands or depend on climate conditions. It’s a controlled process that can happen anywhere.” This scalability and resilience make fermented proteins an exciting solution for global food security.

Overcoming Taste Challenges in Plant-Based Proteins

Taste remains a significant barrier in the adoption of plant-based proteins. According to Sirli, “Plants have distinctive flavor properties, and no one wants their meat alternative to taste like pea or soy.” Exciting advancements, like gene editing and bioprocessing to remove unwanted flavors, could revolutionize sensory experiences, making plant-based products more appealing to consumers.

Navigating Regulatory and Cost Barriers

Europe’s stringent regulations present hurdles for FoodTech startups. “Everything that hasn’t been consumed before 1997 must go through approval by EFSA,” Sirli shares. Combined with high production costs, especially for technologies like cultured meat, startups face significant challenges. However, partnerships with governments and existing facilities can ease these burdens, fostering innovation.

Collaborating for FoodTech Success

For startups in the alternative protein space, collaboration is key. Sirli emphasizes, “One of the critical things is intellectual property. Startups need to ensure they retain ownership when working with large corporations or research organizations.” Balancing partnerships with IP protection ensures long-term growth and innovation.

Find Sirli on:

LinkedIn: Sirli Rosenvald

Funki: funki.ee

Find Ben on:

LinkedIn: Ben Costantini

Twitter/X: @bencostantini

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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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