DinMo provides a composable Customer Data Platform that leverages customers' existing cloud data warehouses to make customer data accessible, orchestrate omnichannel journeys, and apply predictive analytics. The platform includes AI-powered capabilities such as Product Recommendations, Churn Prediction and Lifetime Value Estimation designed to simulate the work of data scientists and machine-learning engineers. DinMo emphasizes fast deployment of its AI models (stating models can be deployed within 24 hours) and deeper integrations with cloud platforms including Google Cloud, Snowflake and Databricks. The company targets mid-market D2C customers and lists clients such as Galeries Lafayette, Interflora, Manor and Ankorstore. Founded in 2022, DinMo has grown its team from 3 to 18 employees and plans to reach 25 by the end of H1 2025, while expanding its footprint with a new London office and plans for further expansion across Europe and into the US. The recent €5 million raise will be used to accelerate product development—particularly AI and machine-learning features—and to broaden integrations and go-to-market efforts. DinMo is a data warehousing startup that launched its platform in early September to tackle customer data siloes. Its product focuses on translating CRM customer profiles into warehouse-ready formats using data segmentation and "visual audience" tags alongside online analytics tools. The segmentation feature preserves customer profile fidelity inside the warehouse and simplifies audience creation for marketing teams. DinMo positions itself as an easier-to-implement alternative to complex, expensive CRM-led solutions and highlights privacy-law advantages. The company plans to use the new funding to hire additional product engineers to accelerate product development. DinMo completed a €1.6 million seed round to support these efforts.

Total raised

$7M

Funding rounds

2

Latest round

Equity

Latest activity

Oct 2024