SiNGL

SiNGL is an AI-powered master data management platform that helps teams unify, govern, and activate trusted customer and enterprise data. It supports deployments on-premise or in the cloud and offers a pathway to a single, trusted view of entities across an organization. The solution is positioned for enterprises that need to consolidate data, maintain data quality, and enable data-driven decision making.

SiNGL uses AI-driven deduplication and data stewardship to manage master data. It trains models with enterprise data and uses scores to determine whether two records belong to the same entity, applying thresholds to decide matches. The platform emphasizes data trust as a base for AI, governance, and analytics initiatives.

SiNGL supports processing at scale and provides integration points through APIs, with an emphasis on a unified 360-degree view of customers and entities. The text discusses governance, data quality, and the ability to activate trusted data across business processes and AI workloads.

SiNGL highlights deployment flexibility, enterprise focus, and global presence, with mentions of deployment options, enterprise use cases, and partnerships across banking, healthcare, retail, and government sectors. The material frames SiNGL as a platform for trusted intelligence built on a single view of critical data.

Train the model with your own enterprise data. SiNGL uses advanced algorithms and creates the scores for each record and decides whether 2 records belong to the same physical entity or not depending on the thresholds set.

Enterprise Master Patient Index (EMPI), Patient 360 platform, entity resolution, real-time APIs, and healthcare data governance to create a trusted patient identity across hospitals and clinical systems.

Use cases

• Improve data quality and governance to enable AI-ready data