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Motley raises $1.5M pre-seed to automate AI-powered business reporting

European business teams are drowning in reporting work. Motley, a Swiss startup based in the Zurich area, has raised a $1.5 million pre-seed round led by Seedcamp to attack that problem head-on with an AI-powered business reporting platform.

The round includes participation from Tiny VC, Kima Ventures, RTP Global, Founders AS and several angel investors, giving Motley a strong early-stage syndicate around a very specific wedge: turning manual reporting from weeks of copy-paste into a workflow measured in minutes.

AI business reporting funding attracts European venture interest

Motley sits at the intersection of AI, SaaS, and enterprise reporting. The company’s platform connects directly to CRMs, BI tools, databases and spreadsheets, pulling the data needed for recurring reports and drafting report-ready documents and presentations for Customer Success and business teams.

Instead of teams spending days assembling QBRs, monthly updates or executive reviews, Motley automates the “first draft” — sourcing the data, generating slides or documents, and surfacing relevant business context. Seedcamp describes Motley as “the first AI-driven reporting assistant that sources data automatically, generates report-ready presentations, and surfaces relevant business context proactively.”

The problem is not theoretical. Motley cites 2.4 billion hours a year spent on manual reporting tasks globally, time that could otherwise go into retention, growth and strategy.

Product: from data to documents in minutes

Motley is designed as an intelligent reporting platform rather than yet another generic dashboard. Once connected to company systems, it:

  • Sources data automatically from CSVs, BI tools, databases and CRMs

  • Generates report-ready presentations and documents, using templates teams can reuse across customers and cycles

  • Maintains historical context, so recurring reviews build on previous reporting rather than starting from scratch

  • Is built for high-frequency, structured workflows like QBRs, customer check-ins, product updates, investor reports and business reviews

On the roadmap, Motley also highlights deeper capabilities such as surfacing key events related to a report, drilling down to cited sources and analysing sentiment, pushing the product from “AI that writes slides” toward a context-aware assistant for ongoing performance conversations.

Seedcamp frames this as one of the last big “manual frontiers” in enterprise workflows — a universal pain point rather than a niche vertical bet.

Founding team and early traction

Motley was founded in 2025 as Motley Stories AG, headquartered in Wetzikon in the canton of Zurich, Switzerland. The company is led by:

  • Yann Ranchere (CEO) – previously CFO and Partner at Anthemis

  • Egor Kraev – former Head of AI at Wise

  • Artemy Belousov – engineer with experience at Yandex 

All three founders have lived the reporting problem from different angles — finance, product and engineering — and that experience shows up in the product’s focus on reliability, fidelity to source data and repeatable workflows rather than flashy demos.

Motley is already working with design partners and early customers including Gigs, Evalart and Impact Pilot, who are using the platform to streamline QBRs, monthly customer updates and other recurring reviews. The goal is simple: fewer meetings about “fixing the deck,” more time spent on what the numbers actually mean and what to do next.

Why this matters

For European SaaS and services companies, recurring reporting is unavoidable — from customer success reviews to internal performance updates and investor communication. What Motley is betting on is that AI-native reporting will become infrastructure, not a nice-to-have: a standard layer that plugs into existing systems and constantly turns raw data into narratives that teams can trust.

With this $1.5M pre-seed round, Motley now has runway to deepen its product, expand integrations and scale go-to-market with its initial customers. If it can consistently deliver accurate, context-aware reports that teams are willing to send to executives and customers without heavy rework, it won’t just save time — it will quietly change how decisions get made.

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Fundraising 4 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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