DreamQuark

AI platform for predictive analytics and data-driven decision-making in insurance and banking

Data & Analytics Acquired Acquired

Overview

DreamQuark was a French AI solutions provider for insurance companies, banks, and asset management firms. Founded in 2014 by a team of data scientists with doctoral backgrounds in physics and machine learning, the company developed deep-learning software to help financial institutions build, deploy, and govern predictive AI models in production at scale.

The company's flagship product, Brain, was a deep-learning platform that processed structured and unstructured data to support insurance and banking use cases including underwriting scoring, fraud detection, churn prediction, credit scoring, customer segmentation, and AML compliance. A key differentiator was the platform's emphasis on AI explainability and alignment with European regulatory principles -- enabling business analysts, not just data scientists, to operate and interpret the models. DreamQuark also offered a SaaS Next Best Action product for personalized recommendations for wealth managers and insurance advisors.

DreamQuark raised EUR 14M in a Series B round in December 2019, bringing total pre-acquisition funding to approximately USD 19.1M across two rounds from investors including AG2R La Mondiale, CapHorn Invest, and Mundi Ventures. Notable customers included BNP Paribas, AG2R La Mondiale, GAN Prevoyance, and GAN Assurances. In April 2024, Linedata (Euronext: LIN) acquired DreamQuark; its AI technologies were integrated into Linedata's AMP platform and Accumen portfolio management module.

Products & Services

Brain

Brain is DreamQuark's core deep-learning platform for insurance and financial services. It enables data analysts and business users to create, deploy, and manage AI models in production without requiring specialist data science expertise. The platform processes both structured and unstructured data and produces transparent, interpretable scores aligned with European AI regulatory principles.

Key Features

Automated AI model building and deployment for non-specialists
Explainable AI outputs with interpretable scoring compliant with European principles
Multi-use-case support: underwriting, fraud detection, churn, AML, segmentation
REST API integration with enterprise IT systems
Patented methodology for verifying artificial neural network results (filed June 2019)

Target Users: Insurance underwriters, data analysts, compliance teams, risk managers at insurers and banks

SaaS Next Best Action (NBA)

A SaaS product providing personalized, real-time recommendations and insights for financial advisors and client-facing teams at insurance and wealth management firms.

Key Features

Personalized client recommendations for wealth managers and insurance advisors
Compliance strengthening for advisors
Smart document retrieval
ESG data acquisition and analysis

Target Users: Insurance advisors, wealth managers, client-facing teams at financial institutions

Sustainable Investment Brain (with Atos, 2021)

A jointly developed platform combining DreamQuark's AI with Atos infrastructure for responsible finance. Built to support SFDR compliance, it applied deep learning to financial and extra-financial ESG data to enable sustainable investment decisions and regulatory reporting.

Key Features

Analysis of financial and extra-financial ESG data
SFDR compliance support
Manual model adjustment for regulatory and policy requirements
Transparent AI scoring for responsible investment use

Target Users: Asset managers, insurance investment teams, compliance officers

At a Glance

Founded: 2014
Headquarters: Paris, France
Employees: 11-50
Funding: Acquired

Category & Focus

Category: Data & Analytics
Subcategories: Predictive Analytics AI/ML Platforms Fraud Detection Underwriting Analytics
Insurance Verticals: Life & Annuity P&C Commercial Specialty/E&S
Target Customers: Carriers, Reinsurers