.svg)
Quantexa's Decision Intelligence Platform enables organizations to operationalize data, contextual analytics, trusted AI, and decisioning workflows from a single unified environment. The platform bridges the gap between fragmented data and confident action, giving both human teams and AI systems the foundation they need to reduce risk, uncover opportunities, and drive measurable outcomes at scale.
The platform is structured around three core capabilities: unifying data, contextualizing data, and enabling decision and action. Data ingestion uses schema-agnostic processing and AI-powered enrichment to onboard data from any source. Entity resolution creates dynamically updated 360-degree views of customers, counterparties, and suppliers across all available data. Graph analytics builds representations of entities and their real-world connections to surface patterns and relationships that would otherwise remain hidden.
Organizations can run contextual analytics on resolved entities, events, and graphs, deploy explainable machine learning and AI models, and automate decision workflows end-to-end. The platform supports decision support, decision augmentation with AI-powered recommendations and next-best actions, and full decision automation for high-volume routine tasks. It scales to over 60 billion records and supports real-time decisioning.
Quantexa's AI capabilities include Q Assist, which simplifies access to data and contextual insights through report generation and research assistance, and an Agent Gateway for agentic AI workflows. The platform is recognized as a leader in Decision Intelligence by IDC in the 2024 IDC MarketScape Report, and a Forrester Total Economic Impact study identifies 228% ROI over three years for customers. The platform is deployable in hybrid, cloud, and on-premise configurations.
- Detecting and investigating anti-money laundering risk across complex customer and transaction networks
- Automating KYC processes to improve compliance and reduce manual remediation costs
- Identifying fraudulent activity across underwriting, claims, and payment lifecycles
- Building 360-degree customer views for cross-sell, upsell, and churn prevention
- Conducting real-world graph-based investigations into financial crime networks
- Monitoring counterparty and supply chain risk with connected contextual data
- Enabling government agencies to detect tax fraud and border security threats
- Accelerating data modernization by unifying fragmented datasets into a trusted foundation
- Deploying explainable AI models for credit risk scoring and risk rating automation
- Generating real-time decisions and alerts across fraud, risk, and compliance workflows
