The core problem Mendo addresses is not technology availability. Large organizations already have access to ChatGPT, Microsoft Copilot, Gemini, Claude, and internal AI tools. What they lack is a structured way to move beyond scattered, individual experimentation and turn these tools into a genuine productivity lever across the workforce .
Mendo positions itself as an "adoption layer" that embeds directly into the tools employees already use — including ChatGPT through its MendoGPT tool and Microsoft Excel, where the platform initially launched . Rather than pulling workers into a separate training portal, the platform guides usage in real time within the applications, surfacing relevant use cases by role and giving leadership clear visibility into where AI is creating value
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The goal is to answer the questions that keep CIOs up at night: where is AI actually being used? Which use cases generate measurable time savings? And how can effective practices be anchored across the entire organization?
Mendo's approach has already gained significant traction. The platform now supports more than 100,000 employees across more than 100 major organizations, including PwC, Novo Nordisk, and Crédit Agricole . The company says its tool is designed to be product-first, building an integrated adoption and training experience that helps teams unlock "real and measurable time savings with GenAI"
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The platform's core philosophy rests on three pillars: getting people to actually use generative AI to understand it, making that experience seamless within existing workflows, and focusing on long-term impact rather than short-term engagement metrics .
Product development for agentic AI. The startup plans to expand beyond today's generative AI tools to support agentic AI — autonomous systems capable of taking actions on behalf of users. This positions Mendo to remain the adoption layer as enterprise AI evolves from chatbots to agents that can execute complex workflows.
Workforce expansion from 50 to 100. Doubling the team will give Mendo the capacity to serve a growing client base, accelerate engineering, and build out go-to-market capabilities across new territories.
Commercial scaling across Europe. While the startup has established a strong presence in France, the Series A is designed to test its approach in additional European markets, with sales and go-to-market efforts expanding accordingly .
Mendo's raise comes amid a broader wave of AI funding in France, where landmark rounds from companies like Mistral AI have positioned the country as a visible player in the global AI landscape . But while Mistral and its peers build the models, Mendo represents a growing category of startups tackling the less glamorous but arguably more critical problem: getting people to actually use the technology in ways that show up on the balance sheet.
The bet is that in an era when every enterprise has access to powerful AI tools, the winners won't be the companies with the best models, but the ones that solve the organizational challenge of widespread, effective adoption.
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