$10m · Other round · Software · Paris, France
Paris-based Actionable has raised $10m in funding led by Hi Inov, with existing investor Axeleo Capital increasing its stake. The company will use the capital to hire across product, engineering and sales, expand through reseller partners and build its commercial presence in the US.
Actionable combines transactional, operational, CRM and web-analytics data in an industry-specific customer model. Its software then predicts, customer by customer, who is likely to leave, complain or buy again, and attaches an explanation intended to guide a response. That differs from survey-led customer-experience tools, which chiefly describe what a sample of customers has already reported.
Hi Inov says the two-year-old company now works with 16 enterprise clients and maps the journeys of 117 million consumers, including customers of Carrefour, SNCF, Engie and Edenred. The investor reports that an early OUIGO campaign generated enough incremental revenue to cover the platform cost within weeks, while Carrefour recorded a sevenfold return on incremental CRM spending. Those results are company and investor claims rather than independently audited figures.
Axeleo says Actionable holds ISO 27001 and SOC 2 Type II certifications, an important condition for persuading large organisations to connect sensitive customer datasets. The investor describes the transaction as a Series A; Tech.eu classifies the exact event as Other, which governs this brief's funding label.
The defensible layer is business context, not another dashboard
Actionable's commercial case rests on converting fragmented tables into a model that reflects how each customer's business actually works. A retailer needs concepts such as waiting time, loyalty cards and order preparation, while a transport operator needs delays, load factors and journey history. If Actionable can encode that context faster than an enterprise can reproduce it internally, the product becomes infrastructure for both analysts and AI agents rather than a reporting layer that users can replace with a generic model.
That advantage still has to survive expansion. New industries and countries bring different data definitions, privacy constraints and operating workflows. Predictions also need to improve decisions, not merely look plausible: clients must see that targeted interventions reduce churn, complaints or wasted campaign spend over time. The $10m round therefore funds two linked tests: whether Actionable can keep integrations efficient as it scales, and whether the outcomes cited by early customers repeat across a broader base.
