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Ivee Raises $1M Seed Round to Scale AI Upskilling Platform

The artificial intelligence sector continues to reshape not just how businesses operate, but how workers prepare for the jobs of tomorrow. As AI adoption accelerates across industries, a growing number of platforms are emerging to help professionals build the skills required to remain competitive in an increasingly automated labour market. London-based Ivee has now secured $1M in seed funding to scale its AI upskilling platform, backed by an impressive roster of investors including entrepreneur and podcaster Steven Bartlett.

The seed round brings together a strategically diverse group of backers. Alongside Bartlett, the round includes fellow Dragons’ Den investor Deborah Meaden, global accelerator Techstars, Social Impact Enterprises, and senior leaders from Microsoft’s AI SuperIntelligence Lab, Dawn Capital, and Balderton Capital. The funding will support Ivee’s expansion across the United Kingdom, deepen its employer partnerships, and further develop its AI curriculum to keep pace with rapidly evolving workplace technologies.

From Dragons’ Den to AI Education Pioneer

Founded by sisters Amelia and Lydia Miller, Ivee first gained national attention through its appearance on BBC’s Dragons’ Den, where the pair secured £37,500 from both Meaden and Bartlett for a 7.5% equity stake in their original return-to-work platform. The company was born from a deeply personal motivation — the founders witnessed firsthand how difficult their own mother found it to re-enter the workforce after taking time away to raise children.

Since that initial television appearance, the company has undergone a significant strategic evolution. What began as a platform connecting women returning from career breaks with flexible employment opportunities has broadened into a comprehensive AI upskilling service addressing one of the most pressing challenges in today’s labour market: the growing demand for practical AI fluency.

The platform now offers three core services: an AI tool discovery engine that identifies the most effective applications for specific professional tasks, practical bite-sized lessons built around real-world use cases, and a validated skills framework enabling users to track and showcase their AI competencies to potential employers. On the enterprise side, companies can use Ivee to upskill existing teams or recruit directly from the platform’s network of over 80,000 AI-fluent candidates.

Enterprise Traction Signals Market Fit

The pivot towards AI upskilling appears well-timed and well-validated by market demand. Ivee counts Red Bull, Deliveroo, TransPennine Express, and OVO Energy among its enterprise clients, suggesting meaningful traction with established brands seeking AI-ready talent. The platform’s growth from a community of 8,000 users at its early stages to over 80,000 registered candidates represents a tenfold increase that underscores the urgency employers and workers alike feel around AI preparedness.

The composition of the investor syndicate further reinforces the platform’s credibility. Techstars provides access to a global network of mentors and corporate partners, whilst the involvement of senior figures from Microsoft’s AI SuperIntelligence Lab and prominent venture firms like Balderton and Dawn Capital signals confidence in Ivee’s approach to democratising AI education.

UK AI Skills Gap Presents Growing Opportunity

The funding arrives amid a broader push across Europe and the United Kingdom to close the AI skills gap. As generative AI tools become embedded in workflows spanning marketing, finance, operations, and customer service, employers are increasingly seeking candidates who can demonstrate practical fluency with these technologies rather than merely theoretical understanding. Industry surveys consistently rank AI literacy among the most in-demand skills for 2026 and beyond.

For Ivee, the opportunity extends beyond individual upskilling. The platform sits at the intersection of two powerful trends: the enterprise need for AI-competent workforces and the individual imperative to future-proof one’s career. By serving both sides of this equation — offering B2C skill development alongside B2B talent sourcing — the company has positioned itself to capture value across the entire AI skills ecosystem.

Summary

Company: Ivee (ivee.jobs)
HQ: London, United Kingdom
Founded by: Amelia and Lydia Miller
Round: Seed
Amount: $1M
Key Investors: Steven Bartlett, Deborah Meaden, Techstars, Social Impact Enterprises, Microsoft AI SuperIntelligence Lab leaders, Dawn Capital, Balderton Capital
Use of Funds: Platform expansion, employer partnerships, AI curriculum development

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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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