Paris-based DinMo raises €5 million to grow its Composable Customer Data Platform | EU-Startups

DinMo, a European Data Activation company helping mid-market companies leverage their customer data without extensive technical resources, announced €5 million in additional funding to launch and grow its Composable Customer Data Platform (CDP) offering. This new investment will fuel the company’s evolution from a data activation tool to a full-fledged, AI-powered composable CDP while continuing to offer its foundational data integration capabilities.

The investment round was led by 468 Capital with the participation of Big Bets and existing investors like Seedcamp, Motier Ventures and Financière Saint James. “A complete customer understanding is critical for all companies striving to excel in the digital era,” said Diogo Cunha, Early Stage investor at 468 Capital. “Traditionally, this level of insight was only accessible to large enterprises with complex data engineering teams capable of fully harnessing customer data.”

Founded in 2022 by Oussama Ghanmi, DinMo has rapidly evolved its offering to meet the growing demand for advanced customer data analytics among mid-market companies. With this new funding, DinMo aims to democratize access to enterprise-grade CDP capabilities, traditionally available only to large corporations with substantial resources. 

“Having implemented tools like Segment firsthand as an operator, I’ve witnessed the hurdles mid-sized companies face,” added Cunha. “At 468 Capital, we’re excited about Oussama’s vision to empower these businesses with an AI-powered solution, enabling them to achieve a comprehensive 360-degree view of their customers and enhance how they sell.”

“We’re on a mission to create a new standard for the Customer Data Platform industry by leveraging companies’ existing cloud data warehouses and enhancing them with AI-powered predictive analytics,” commented Founder and CEO Oussama Ghanmi. “This funding will allow us to accelerate our product development, particularly in AI and machine learning, enabling mid-market companies to compete with enterprises in terms of customer data analytics and personalization.”

DinMo’s platform now offers a three-phase approach to customer data management: Making data accessible through seamless integration with existing data warehouses; orchestrating omnichannel customer journeys; and leveraging predictive analytics powered by AI.

The company has expanded its feature set to include AI-powered capabilities such as Product Recommendations, Churn Prediction, Lifetime Value Estimation. These features simulate the work of data scientists and machine learning engineers, providing mid-market companies with insights traditionally requiring expensive in-house teams.

“Traditionally, companies wanting to predict future customer behavior would need to invest heavily in data scientists and machine learning engineers,” Ghanmi explained. “With DinMo, we’ve automated this process, allowing mid-market companies to access these insights at a fraction of the cost and time. Our AI models can be deployed within 24 hours, giving marketing teams the ability to act on predictive insights almost immediately.”

DinMo has seen significant growth since its inception, expanding from 3 to 18 team members. The company plans to reach 25 team members by the end of H1 2025. This growth is supported by the opening of a new office in London, with plans for further expansion across Europe and into the US market.

The platform has also deepened its partnerships with major cloud data platforms including Google Cloud, Snowflake, and Databricks. DinMo continues to expand its integrations with customer engagement platforms and is moving into new categories such as personalization tools and POS systems.

DinMo’s serves many notable European mid-market D2C companies across various sectors, such as Galeries Lafayette, Interflora, Manor and Ankorstore.

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