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Top Tips for Food Trade Show Success: Insights from SIAL Paris 2024 Startup Exhibitors

If you’re considering exhibiting at a future trade show, the insights shared by exhibitors at SIAL Paris 2024 can be incredibly valuable. They offer their advice based on their overall experiences as exhibitors and during their pitch sessions in front of a jury. 

Here are some key takeaways to help you maximize your experience:

Torg: Plan ahead

Start your planning well in advance. Create a to-do list and a timeline based on insights from previous events to streamline your preparation. Avoid relying too heavily on external logistics, as managing these can be challenging if you’re not experienced. Ensure that everything is organized and in place to meet your needs.

Pitching tips:

Keep your pitch short and focused. If you have multiple products or topics, concentrate on one and explore it in-depth within 90 seconds.

Use minimal text in your presentations. This helps maintain the audience’s attention on your message rather than distracting them with written content.

Lebrin Cbd: Be spontaneous

Balance preparation with spontaneity. While practicing your pitch is important, over-rehearsing can create unnecessary pressure and dissatisfaction. Allow yourself to connect more genuinely with your audience by going with the flow during your presentation.

VgFryer: Stay proactive

Engage actively with attendees and maintain communication with your contacts even after the event. Being persistent and keeping an optimistic outlook can help you foster lasting connections that extend beyond the trade show.

Freshjt: Engage through experience

Let your products speak for themselves by allowing visitors to sample them before explaining their features. This approach keeps attendees engaged and encourages interaction. Remember that trade shows are about sharing experiences and discovering market opportunities, not just selling products.

Networking tips:

Create a list of key exhibitors that match your target customer profile to visit during your free hours at the exhibition.

While some exhibitors may not have their purchasing or business development managers present, their sales representatives can provide valuable contact information for future connections.

Pitching tips:

Bring your products to your pitch. If possible, allow attendees in the front rows to try them out to enhance engagement.

Avoid technical jargon and focus on key values such as innovation and unique production technology. Most attendees may not fully grasp complex information in just 1-2 minutes.

Credits : Biz Today

If you’re planning to attend a Food trade show, don’t miss our latest article on maximizing your ROI at these industry gatherings !

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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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