Quantexa is a Decision Intelligence platform that supports insurers in making more accurate, data-driven decisions across underwriting, claims, and fraud detection. By unifying fragmented internal and external data, and applying AI-driven analytics and contextual modeling, Quantexa helps insurers gain a deeper understanding of risks and relationships. The platform is widely used by global insurance companies to improve customer insight, streamline operations, and reduce exposure to fraud and financial loss.

What are the main features of Quantexa?

Entity resolution and contextual modeling

Quantexa creates a single, accurate view of customers and their networks:

• Combines structured and unstructured data from various sources.

• Uses graph analytics to identify relationships between people, organizations, and activities.

• Builds dynamic profiles of entities to provide full contextual understanding.

AI-based fraud detection

The platform helps identify complex fraud schemes across the policy lifecycle:

• Detects anomalies in claims and applications using machine learning.

• Supports real-time fraud monitoring with continuous data ingestion.

• Offers customizable detection models to match different insurer needs and regulatory environments.

Improved underwriting and claims workflows

Quantexa enhances core insurance functions with intelligent automation:

• Assesses risk more accurately using context-rich customer data.

• Streamlines claims triage and validation, reducing manual investigation time.

• Helps reduce loss ratios through more effective fraud prevention and risk scoring.

Scalable data integration and deployment

The system is designed for large-scale enterprise environments:

• Ingests high volumes of structured and unstructured data seamlessly.

• Interoperates with insurers’ existing IT ecosystems and databases.

• Supports on-premise, cloud, or hybrid deployment for flexibility and scalability.

Why choose Quantexa?

• Increases fraud detection effectiveness by up to 70%, even in complex fraud networks.

• Boosts operational efficiency, reducing manual investigations by up to 80%.

• Delivers a unified view of customer data, improving service, retention, and marketing effectiveness.

• Ensures compliance through transparent, explainable AI models that meet insurance regulatory standards.

• Generates measurable financial impact, with a reported ROI of over 200% within three years.