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Retail Robotics Solutions: Robot-Cashier Technology

Retail Robotics Solutions (RRS) is advancing rapidly with its innovative AI technology in corporate catering and self-service restaurants. Founded in 2022, the company quickly became a leader in integrating computer vision and Robot-Cashier systems. We caught up with CEO Dmitri Rodin and Head of Customer Satisfaction Ilya Zelikin to dive into their work, ambitious plans for the future, and how outsourcing plays a key role in scaling the business.

Robot-Cashier
📸:RRS

A Visionary Beginning

Dimitri Rodin, with over 20 years of executive experience, co-founded RRS after meeting with an angel investor and a computer scientist. Their talks on computer vision and Robot-Cashier technology sparked an idea: “To revolutionize the way people experience dining in cafeterias and self-service restaurants by making it as easy as taking a selfie.”

This principle has guided RRS’s journey.

The Technology Behind the Innovation

RRS employs advanced equally AI and Robot-Cashier solutions to streamline food service, reduce queues, lower costs, and enhance customer satisfaction. Rodin highlights their edge in brief: “We’ve become the global leader in recognition accuracy for freshly-made food.” Furthermore he adds that their technology excels at identifying overlapping food items, a challenge for many competitors. Zelikin explains, “With three successful pilots and a €2.4 million contract, we’ve proven our solution delivers results from day one.” This success shows strong demand and sets the stage for future growth.

Targeting the Corporate Catering Sector

RRS primarily focuses on large corporations in the corporate catering sector, including major players such as Elior, Sodexo, and Compass Group. Additionally, their expertise allows them to cater specifically to the needs of these industry leaders. Their in-depth understanding of client needs helps them to implement solutions seamlessly, including integrating Robot-Cashier systems, without disrupting existing workflows. Zelikin also highlights, “After two years of negotiations with target clients, we know how to implement our solution effectively.”

Robot-Cashier
📸:RRS

Scaling Operations and Outsourcing

As RRS expands its presence across Europe and prepares to enter the U.S. market, outsourcing plays a vital role in its strategy. Industry statistics indicate that 59% of companies generally utilize outsourcing to improve operational efficiency. The company plans to partner with software and hardware companies, including also those in Robot-Cashier tech, to drive growth. Dimitri highlights its strong track record with top stakeholders. Its diverse team from 11 countries helps it navigate complex markets and build key partnerships.

Future Goals and Ambitions

For 2024, RRS aims emphatically to boost revenue and expand AI-based terminals and Robot-Cashier systems with Pingo Doce in Portugal. Rodin also adds, “Our goal in the U.S. is to start Proof of Concepts with key players in self-service restaurants and corporate catering.” With a U.S. office opening in fall 2024, RRS is certainly ready to impact the FoodTech industry. They aim to be recognized at SIAL Startup Village, considering it a crucial opportunity to attract investors and industry leaders.

The Drive for Change

What motivates Rodin and Zelikin? Rodin reveals, “I wake up every morning with a clear understanding that we are changing the business practices of the entire global food service industry.” This conviction fuels their ambition to radically enhance customer satisfaction, saving office managers valuable time that would otherwise be spent in lines.

Robot-Cashier
📸:RRS

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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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