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Torg: Food and beverage private label sourcing made simple

As inflation fuels the private label surge in Europe, retailers and wholesalers struggle to find reliable manufacturers for their store-brand products. Torg, a Berlin-based startup, solves this challenge by offering a simple and efficient private-label sourcing solution.

Bringing 20+ years of global experience in leading companies across e-commerce, food tech, and consulting, Hans Kristian FurusethBen Holdham, and Rita Kerbaj founded Torg to solve the inefficiencies of the sourcing process. The company provides a one-stop marketplace connecting food and beverage buyers with over 100,000 verified suppliers across the continent.

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AI-Powered Sourcing Revolution

“Scaling up sourcing would have been impossible without machine learning,” Torg’s founders recently told Tech. eu. They leverage the power of machine learning to transform vast amounts of data into Europe’s most comprehensive and high-quality database for private label sourcing. This AI-powered approach allows buyers to quickly and easily find the perfect suppliers.

Streamlined Workflow for Buyers

Unlike some competitors, Torg goes beyond basic search functionality. Taking a cue from Furuseth’s experience in e-commerce, the platform allows buyers to request introductions, compare quotes directly, and even negotiate prices with suppliers – all in one place.

Success Stories Speak Volumes

The value proposition is clear. Lanch, a German food tech startup, struggled to find suitable manufacturers through traditional methods. “With Torg, we received 15 quotes from top producers in just 2 weeks, most below the target price,” said Lanch CEO Jonas Meynert. This efficiency allowed Lanch to forgo a dedicated sourcing team.

Benefits for Suppliers Go Beyond Visibility

Torg isn’t just about buyers. Suppliers benefit from increased online presence, faster payments, improved workflow management, and access to new sales opportunities. This win-win approach fuels Torg’s growth alongside the rising demand for private labels.

Early Traction and Ambitious Goals

Founded in 2021, Torg has secured €2.7 million in seed funding and boasts a growing user base. Their current revenue model utilizes connection credits for suppliers to connect directly with buyers.

Looking ahead to 2024, the company aims to secure partnerships with major retailers and wholesalers while solidifying its revenue stream. Participation in SIAL Startup Village reflects their desire to connect with key industry players, gather valuable feedback, and refine their technology to serve the food & beverage sector better.

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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.

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