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Actionable

Actionable is a causal AI prediction platform that helps enterprises understand why their KPIs move and predict customer behavior before it happens. The platform unifies data from multiple systems into a single model, identifies root causes of churn or satisfaction shifts, and scores 100% of the customer base in real time. It includes 282+ pre-built drivers and native connectors for retail, banking, insurance, and travel.

Traction 10/10
Paris, France · HQ
Founded 2024282K+ followers
  • Artificial Intelligence
  • Data & Analytics
  • Enterprise Software
  • Software Only
Updated 1 month ago

Funding

Raised to date

$12.2MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

across 2 rounds

$10M · Undisclosed

Announced Sep 2026 · from article date

Disclosed cumulative: $12.2M

2/2

Founders

3 founders

Thomas Fagot

CEO

Nicolas Rieul

Co-Founder

Skowronski Thomas

VP Product

Product

Problem

Enterprises struggle to understand the root causes behind key performance indicator (KPI) movements such as churn, satisfaction, or repurchase. Customer data is fragmented across multiple systems, and traditional analytics tools lack the causal context needed to predict behavior or act before negative trends escalate.

Solution

Actionable provides a causal AI prediction platform that unifies raw customer data from diverse sources into a single, industry-specific model. The platform automatically generates drivers from raw fields, identifies the exact factors behind KPI changes, and detects inflection points where behavior shifts. It scores 100% of the customer base in real time, enabling businesses to act on predictive insights before issues impact outcomes. The platform integrates four modules—Connect, Insights, and additional decision-support tools—to move from raw data to precision decisions without requiring data engineering.

Target Audience

Primary customers are enterprise businesses in retail, banking, insurance, and travel that need to understand customer behavior drivers and predict churn or satisfaction outcomes at scale.

Features

  • Common Model ingests and unifies data from POS, CRM, surveys, web, app, and logs into a single industry-specific structure
  • 282+ pre-built drivers automatically generated from raw fields, eliminating manual feature engineering
  • Causal root cause analysis on every KPI with precise inflection point detection
  • Real-time operational signal monitoring that flags shifts before they ripple into complaints
  • Native connectors to any enterprise data source with verticalized data models for Retail, Banking, Insurance, and Travel
This profile is AI-generated and may contain inaccuracies.