Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

Legislative measures dictate the conditions under which information can be disseminated and the scenarios that justify such sharing. To enhance the efficiency of information exchange among agencies during investigations of particular cases, data matching and discovery techniques are employed. At the core of the Kalinda system lies an advanced machine-learning algorithm designed to correlate individual records across various agencies by analyzing personal traits such as name and date of birth, as well as the characteristics of associated individuals. Thorough investigations frequently necessitate examining connections between individuals or locations, especially when only incomplete data is available. Kalinda is equipped to handle queries involving partial matches related to individuals, locations, and their interrelations. Additionally, it provides sophisticated algorithms that enable the discovery of records that bear resemblance to the matched ones by utilizing probabilistic record matching methods. This capability significantly broadens the scope of potential leads in investigations, making Kalinda an invaluable tool for law enforcement and investigative agencies.

Description

NetOwl EntityMatcher offers a reliable, swift, and expandable solution for identity resolution, taking into account not just the similarities in entity names but also critical attributes like date of birth, place of birth, address, and nationality. Additionally, it allows for identity resolution using social network details, including information about an individual's employer, spouse, or associates. Utilizing its proprietary search and indexing engine, NetOwl can combine evidence from various entity record attributes, providing a highly effective, scalable, and user-friendly approach to matching. Users can define application-specific business rules that dictate which combinations of record attributes need to be matched and establish the importance of each attribute. Furthermore, by incorporating our machine learning-driven multicultural and multilingual name matching solution, NetOwl NameMatcher, the system enhances the sophistication of name matching across different types of entities. This integration ensures that identity resolution maintains a high level of accuracy and adaptability in diverse scenarios.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

ArcGIS
Elasticsearch
Google Maps
IBM Cloud
Kibana
MarkLogic
Palantir Apollo
SolrCommerce
Tableau

Integrations

ArcGIS
Elasticsearch
Google Maps
IBM Cloud
Kibana
MarkLogic
Palantir Apollo
SolrCommerce
Tableau

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Kalinda

Country

Australia

Website

www.factil.io/products/kalinda/

Vendor Details

Company Name

NetOwl

Founded

1996

Country

United States

Website

www.netowl.com/identity-resolution

Product Features

Government

Budgeting & Forecasting
Code Enforcement
Compliance Management
Fixed Asset Management
Inventory Management
License Issuance
Permit Issuance
Purchasing & Receiving
Self Service Portal
Taxation & Assessment
Utility Billing
Work Order Management

Product Features

Alternatives

matchit Reviews

matchit

360Science

Alternatives