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What is Senzing?

Senzing® offers a cutting-edge entity resolution API software that stands out for its affordability, user-friendliness, and powerful data matching and relationship detection features. With this software, you can seamlessly and automatically identify and resolve records concerning individuals, organizations, and their connections in real time as fresh data enters the system. The comprehensive and highly precise insights provided by Senzing can help lower operational costs while simultaneously opening up avenues for new revenue streams. Senzing's libraries are versatile and can be implemented on-site or in cloud environments, tailored to fit your specific architectural and environmental needs. Importantly, all data remains within your own system and is never transmitted to Senzing, Inc. The software requires very little data preparation, eliminating the need for tuning, training, or specialized entity resolution experts. Additionally, a complimentary proof of concept can be executed in approximately six hours on either AWS or bare metal, and you can experiment with the Senzing API for free on up to 100,000 records. This makes it an attractive option for businesses looking to enhance their data management capabilities without significant upfront investment.

What is Kalinda?

Legislative frameworks establish the parameters for how information can be shared and the circumstances that warrant such exchanges. To improve the effectiveness of information sharing among various agencies during the investigation of specific cases, techniques for data matching and discovery are utilized. Central to the Kalinda system is a sophisticated machine-learning algorithm that is adept at linking individual records from different agencies by scrutinizing personal details like name and date of birth, in addition to the features of related individuals. Comprehensive investigations often require exploring relationships between individuals or locations, particularly when faced with incomplete datasets. Kalinda is adept at processing inquiries that involve partial matches concerning people, places, and their connections. Furthermore, it boasts advanced algorithms that facilitate the identification of records that are similar to those already matched through probabilistic record matching techniques. This functionality greatly expands the range of possible leads during investigations, solidifying Kalinda's status as an essential resource for law enforcement and investigative bodies. Consequently, as technology evolves, the potential applications of systems like Kalinda will likely continue to grow, further transforming the landscape of investigative work.

Media

Media

Integrations Supported

AWS CloudFormation
Amazon RDS
Amazon Simple Queue Service (SQS)
Apache Kafka
Docker
Elasticsearch
Google Cloud Platform
IBM Db2
MariaDB
Microsoft Azure
MySQL
Neo4j
Oracle Database
PostgreSQL
RabbitMQ
SQL Server
SQLite

Integrations Supported

API Availability

Has API

API Availability

Pricing Information

Free evaluation up to 100K records or more on request. Production pricing starts at $37,440 /year for 10M records.
Free Version

Pricing Information

Pricing not provided

Supported Platforms

On-Prem
Linux

Supported Platforms

SaaS

Customer Service / Support

24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub

Company Facts

Organization Name

Senzing

Date Founded

2016

Company Location

United States

Company Website

senzing.com

Company Facts

Organization Name

Kalinda

Company Location

Australia

Company Website

www.factil.io/products/kalinda/

Categories and Features

AML

Case Management
Identity Verification
Investigation Management
PEP Screening
Risk Assessment
SARs
Transaction Monitoring
Watch List

Customer Data Platforms (CDP)

Data Integration
Data Matching
GDPR Compliance

Data Analysis

Data Discovery

Data Deduplication

Not specified

Data Fabric

Data Analytics

Data Matching

Not specified

Identity Resolution

Not specified

Master Data Management

Data Source Integrations
Match & Merge
Relationship Mapping

Categories and Features

Data Matching

Not specified

Government

Not specified

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