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Hyperplan: Empowering Data-Driven Decisions in the Food Chain

Data-Driven Decisions in the Food Chain

With 70-90% of their scope 3 emissions in the fields, food chain companies increasingly need visibility over agricultural production to meet their sustainability objectives. On top of that imperative, the increasing volatility in agricultural production, mainly due to climate change, supply chain disruptions, and geopolitical tensions, is a major pain point for the entire food chain. 

By providing continuous data on field health, crop rotations, and yield estimates, Hyperplan provides food chain players with the real-time information they need to make data-driven decisions that allow them to meet sustainability objectives, mitigate risks, and, ultimately, improve agricultural outcomes.

Founded in 2021, Hyperplan has since grown to a team of 22 employees. The company offers a unique value proposition: “We don’t just provide data at the end of the season,” says the team. “Our real-time monitoring covers everything from field boundaries to crop production practices, giving you the insights you need to make informed decisions throughout the growing cycle.”

Real-time monitoring goes beyond season-end data

Hyperplan provides continuous insights into field boundaries, crop rotations, yield estimates, vegetation status, and production practices (e.g., tillage, cover cropping, crop rotations). This granular plot-level data empowers all stakeholders to make targeted interventions, optimize resource allocation, and implement sustainable practices such as cover crops, all with the help of Hyperplan. “It’s more than software,” the team says. “We help you revamp your processes to gain a competitive edge.”

Data-Driven Decisions in the Food Chain

Beyond Food Brands

While initially targeting coops and input companies, Hyperplan had its first successful deployment with a global food brand in 2024. The startup has now this experience, use case, and service for food brands, and is ready to roll out at scale. The company is also looking to extend its technology for crop classification and yield estimates beyond Europe.

Strong Backing and Future Expansion

Having raised €4.1 million in seed funding last year, Hyperplan is backed by Demeter via its Agrinnovation fund, as well as BNP Paribas Développement, Polytechnique Ventures, PeakBridge, Techmind and Unilis Agtech, a joint venture between Arvalis and Unigrains.

Hyperplan’s supporters also include Aerospace Valley, ESA BIC Sud France, France 2030, La Ferme Digitale, La Vega Innova, and Microsoft’s Environmental Startup Accelerator. The latter also allowed Hyperplan to present its solution at Microsoft’s VivaTech booth earlier this year.

Buoyed by the support of recognized investors who validate the relevance and potential impact of their solution in agriculture, Hyperplan will leverage its participation in SIAL Startup Village this year to secure new commercial contacts.

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Data-Driven Decisions in the Food Chain

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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. 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.

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