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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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