We are a startup specializing in generative and agentic AI adoption for enterprises, and we are announcing a €12M Series A. Following our previous €3.5M seed round in October 2024, this new funding led by Ventech and Educapital, joined by Tomcat and OVNI, will allow us to accelerate the deployment of our platform across large European enterprises.
100,000
Employees supported
Adoption and agentic AI: the blind spots of the AI revolution
70 %Never deployed
According to Gartner, 70% of enterprise AI and agentic projects never reach real deployment. Not due to technological failure, but due to lack of adoption by teams.
That's the observation we've built our proposition on since our founding in 2021: being the missing link between AI tools and their real adoption inside enterprises. Integrated directly into everyday tools (Microsoft 365 Copilot, ChatGPT, Gemini, Mistral AI) through our SaaS solution, our platform guides each user to adopt the best use cases and helps enterprises maximize the value of AI, keeping humans at the center.
From tool to operational backbone: AI enters a new era
With agentic AI, enterprises are entering a new era. It's no longer about optimizing isolated tasks, but about evolving scattered AI models into robust, secure services that will accelerate enterprise operations. AI is becoming the operational backbone of the organization: it flows through every function, connects every process, and conditions overall performance. In this context, the real challenge is no longer purely technological. It's about the capacity of enterprises to identify the opportunities offered by agents, to deploy the new ways of working that follow, and to ensure their adoption by teams.
Strategic clarity
Concretely, we provide enterprises with the strategic clarity they lack today: where is AI truly creating value? Which processes would benefit from being rethought? Where should agents be deployed?
"AI is becoming the layer that orchestrates and governs enterprise operations. No company will succeed without bringing employees along."
Quentin Amaudry, CEO and co-founder of Mendo
Supporting agent deployment and strengthening the analytics layer
This operation marks a decisive new stage in our journey, built on a simple conviction: AI only becomes useful when it is understood, practiced, and integrated into the daily work of teams. Today, more than 100 large organizations, including PwC, Novo Nordisk, and Crédit Agricole, rely on our platform, representing nearly 100,000 employees supported across Europe since our launch.
Driven by this momentum, we now intend to take an additional step forward. These new resources will allow us to pursue three priority ambitions:
1
Strengthen our analytics layerTo give enterprises a clear read on their AI usage and identify the agents best positioned to generate ROI. Once deployed, we pilot their adoption and measure their impact. Early results already show an adoption rate six times higher than traditional methods.
2
Double our headcount from 50 to 100With a focus on product, tech, and commercial teams.
3
Accelerate commercial deployment across key European marketsTo meet the growing demand for AI adoption support.
"Mendo solves adoption from identifying use cases to deploying custom AI agents, with team upskilling at every step."
Audrey Soussan, General Partner at Ventech
"Enterprises must continuously train teams to work alongside AI agents. That is precisely our mission."
Litzie Maarek, General Partner at Educapital
"The real battle is about the capacity to get AI adopted at scale by employees. Mendo has built a lead there."
Patrice Thiry, President of Tomcat
About us
Founded in 2021 by Quentin Amaudry and Alexandre Pinon, we are a SaaS solution that helps large enterprises succeed in their AI and agentic transformation by placing their employees at the center of the process. Integrated directly into the tools teams already use, we combine adoption, governance, and agent deployment to make AI a genuine performance driver. We currently support around a hundred large European organizations.
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