Sesame Summit 2026 – application open

Designing our future: Empowering more women in product design

Unfortunately, this is the world women live in today. Non-inclusive design is all around us, from product design, to city planning, to medicine. And women aren’t the only ones bearing the brunt of it. In one of too many examples, researchers recently discovered that speech-to-text tools misunderstood—and therefore mistranscribed—Black speakers nearly twice as often as they did white speakers. The way we are able to interact with the world around us is influenced by the way it is designed.

So why can we still not manage to design products that actually tailor to the needs of women and minorities?

1. Data bias

In her book, “Invisible Women: Exposing Data Bias in a World Designed for Men”, Caroline Criado-Perez explains how the databases used to inform product design are disproportionately filled with information collected on men. Surprise, surprise: skewed data leads to skewed design.

2. Not enough women in top positions in Product

There is a massive gender gap in product design teams. While women in the UK buy 85% of household products, only 5% of the product design industry in the country is female. On average in Europe,  women represent 41% of teams in product & design at all levels. However, that doesn’t account for the glass ceiling that women in Tech in Europe face demonstrated by there only being under 8% in C-level roles (Figures Data, 2021).

The time has come where design can no longer be seen as separate from societal values and ethical considerations. Design justice is about putting people who do not hold power in society at the center of the design process. According to inclusive design expert Sandra Camacho,  “bad design is a reflection of a society where the needs of those with the most power and privilege are prioritized.”

Early warning signs in the Metaverse

With all the hype surrounding the metaverse, you’d be tempted to think non-inclusive product design will soon be a thing of the past. After all, we now have an opportunity to create a network of virtual worlds from scratch—without borders, and built with all users in mind.

Yet the fact is that 95% of the blockchain developers are male. As such, we risk recreating the exact same inequalities in the metaverse. This already appears to be happening:

  • Digital avatars in NFT (non-fungible token) collections are already being priced differently based on race, gender and skin colour. We must prevent digital racism at all costs.
  • Sexist harassment is already popping up in social VR video games. Shockingly, Nina Jane Patel recently shared the “nightmarish” experience of having her avatar attacked and abused by three male avatars in the virtual game Horizon Worlds developed by Meta.

Restoring diversity in the Product Design industry

The gender imbalance in Product Design wasn’t always so rampant like it is today. As Deborah Liu wrote in this insightful LinkedIn post, in the late 1990s and early 2000s, Product Management teams were almost 50/50. But then something changed. In 2004 Google decided to change its job requirements and began hiring only PM’s who had a degree in computer science or in a related field like electrical engineering. Needless to say, this put women at a massive disadvantage.

Today, 35% of product manager roles in Europe are filled by women—but only 8% are at the C-level. Thankfully, there is a growing ecosystem that is supporting women in product development.

At 50inTech, we want to help women to level up and advance through various stages of their career path. This is the way forward. If we want to design a truly inclusive future, we need more women CPOs. That’s why, on February 16-18, between 12 PM and 3PM CET, our “Wannabe a CPO” Bootcamp will gather the most influential women in Product to give you actionable advice to boost your career.  Register now to get top insights from female executive-level product managers and inclusive design experts: https://50intech.com/bootcamp

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Fundraising 5 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.

Fundraising 5 days ago

Belfast's Cloudsmith has raised $72M Series C led by TCV, with Insight Partners participating, to expand its artifact management platform and secure the AI-era software supply chain.

Fundraising 5 days ago

Berlin’s VREY has raised €3.3M seed led by Rubio Impact Ventures to roll out rooftop solar software for Germany’s multi-family buildings.

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