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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Tailor your outreach efforts to engage consumers on a personal level, leveraging insights from behavioral economics and domain-specific generative AI. Our innovative multi-armed bandit technique significantly enhances outcomes when compared to standard A/B testing methods. It offers seamless plug-and-play integration, is cloud-based, and adheres to SOC 2 Type 2 security standards. The advanced multi-variate reinforcement learning approach of our AI facilitates the swift identification of optimal strategies, contrasting sharply with conventional testing processes. By examining a broader range of variables than traditional champion/challenger methods, our AI accelerates the time to value and streamlines the elimination of ineffective strategies, leading to faster insights. Moreover, our system identifies the most effective treatments tailored to each customer segment. To ensure the ongoing protection of our clients' data, we collaborate with an independent auditor to uphold a SOC 2 report, providing an objective certification of our security measures. This rigorous approach not only enhances our credibility but also reinforces our commitment to safeguarding customer information.

Description

NetOwl NameMatcher, recognized for its excellence in the MITRE Multicultural Name Matching Challenge, delivers unparalleled accuracy, speed, and scalability in name matching solutions. By employing an innovative machine learning framework, NetOwl effectively tackles the intricate challenges of fuzzy name matching. Conventional methods like Soundex, edit distance, and rule-based systems often face significant issues with precision, leading to false positives, and recall, resulting in false negatives, when confronting the diverse fuzzy name matching scenarios outlined previously. In contrast, NetOwl leverages a data-driven, machine learning-based probabilistic strategy to address these name matching difficulties. It automatically generates sophisticated, probabilistic name matching rules from extensive, real-world multi-ethnic name variant datasets. Furthermore, NetOwl employs distinct matching models tailored to various entity types, such as individuals, organizations, and locations. To add to its capabilities, NetOwl also integrates automatic detection of name ethnicity, enhancing its adaptability to the complexities of multicultural name matching. This comprehensive approach ensures a higher level of accuracy and reliability in diverse applications.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

ArcGIS No 
Elasticsearch No 
Google Maps No 
IBM Cloud No 
Kibana No 
MarkLogic No 
Palantir Apollo No 
SolrCommerce No 
Tableau No 

Integrations

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

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person Yes 

Vendor Details

Company Name

KredosAi

Country

United States

Website

www.kredosai.com

Vendor Details

Company Name

NetOwl

Founded

1996

Country

United States

Website

www.netowl.com/name-matching-software

Product Features

Artificial Intelligence

Chatbot No 
For Healthcare No 
For Sales No 
For eCommerce No 
Image Recognition No 
Machine Learning No 
Multi-Language No 
Natural Language Processing No 
Predictive Analytics No 
Process/Workflow Automation No 
Rules-Based Automation No 
Virtual Personal Assistant (VPA) No 

Product Features

Data Quality

Address Validation No 
Data Deduplication No 
Data Discovery No 
Data Profililng No 
Master Data Management No 
Match & Merge No 
Metadata Management No 

Alternatives

Alternatives

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