Senzing SDK offers a revolutionary approach to entity resolution, transforming what was once an expensive and time-consuming process into an accurate and easy-to-implement solution. Designed for developers, this SDK allows for the seamless integration of advanced entity resolution with relationship awareness into various enterprise systems, supporting deployment both on-premises and in the cloud. It comes pre-tuned and pre-trained, actively learning to deliver highly accurate results immediately upon deployment, eliminating the need for expert tuning or extensive training. The SDK is built on the world's first real-time AI that combines machine-learned domain-specific knowledge and real-time learning. This self-tuning, self-correcting AI requires minimal data preparation and ingestion effort, providing out-of-the-box accuracy and the ability to change past assertions in real time. Senzing SDK boasts rapid time-to-value, allowing users to be up and running in minutes and fully operational in days or weeks. It integrates easily into projects using Python, Java, .NET, Go, or C++ applications, or as a REST service or Docker container. Its principle-based entity resolution enables quick addition of new data sources without requiring experts, scaling efficiently to billions of records and entities while maintaining high accuracy and providing real-time insights.

Features & Benefits

• True Real Time AI for Entity Resolution
  • Senzing is the world's first purpose-built real-time AI for entity resolution, capable of ingesting, resolving, querying, deleting, and self-correcting data as it's received. It delivers sub-200ms resolutions, ensuring decisions are always based on the latest information.
  • Better decisions from always current data
  • Powers perpetual vetting solutions
  • Supports mission-critical transactional workloads
• Entity Centric Learning™
  • Utilizes a unique Entity Centric Learning approach to resolve new records against existing entities, outperforming traditional record-to-record matching, especially with messy or obfuscated data. This method is crucial for discovering non-obvious matches and improving data quality.
  • Discovers non-obvious matches other systems cannot
  • Learns from new data in real time
  • Required for successful bad actor identification
• Explainable Results
  • Provides consistent and explainable entity resolution decisions, allowing users to easily understand why a match was made or not made, and how an entity evolved. This transparency is vital for compliance and building trust in data.
  • Gain trust and confidence in your data and decisions
  • Easily meet compliance and audit requirements
• Principle Based Resolution
  • Senzing invented principle-based entity resolution, which uses generalized knowledge of entity attribute behaviors instead of inflexible rules. This enables rapid ingestion of new data sources without requiring expert tuning or training.
  • Add data sources quickly and easily
  • Lower cost with no entity resolution experts needed
  • Consistent and explainable record matching
• Relationship Awareness
  • Recognizes both disclosed and non-obvious relationships between entities, providing richer context and deeper insights. This capability is fundamental for building knowledge graphs and enhancing analytics for fraud detection, customer 360, and perpetual vetting.
  • Improves analytics and decision-making
  • Identifies upsell opportunities for top-line revenue growth
  • Discovers fraud rings responsible for theft
• Privacy by Design
  • Built with Privacy by Design principles, Senzing is a locally hosted SDK ensuring no sensitive data ever flows to Senzing Inc. It includes features like full attribution, false negative favoring, and application-level encryption to protect data.
  • Full attribution means Senzing always knows each record’s origin
  • False negative favoring protects against making a resolution that isn’t true
  • Application-level encryption reduces risk of unintended disclosure
• Rapid Deployment & Low TCO
  • The plug-and-play SDK installs in minutes and integrates into applications (Python, Java, .NET, Go, C++, REST, Docker) with just a few function calls. It offers out-of-the-box accuracy, self-tuning AI, and easy data source addition, leading to rapid ROI and significantly lower total cost of ownership compared to alternatives.
  • Download, install and test in under an hour
  • Integrate Senzing in 3 function calls
  • Run the SDK on-prem or in the cloud
  • Add data sources quickly without tuning