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What is Nucleus?

Nucleus serves as a sophisticated data management solution that seeks to improve the efficiency and automation involved in handling customer and operational data across various platforms. Utilizing advanced matching algorithms, it enables users to merge and unify similar records through both precise and approximate matching techniques, customizable by user-defined auto-match thresholds. Furthermore, it boasts the functionality to set up rule-based triggers that can automatically address data discrepancies, remove duplicates, and manage the creation or identification of new or absent records, ensuring the integrity and reliability of data across multiple integrations. Nucleus also facilitates the establishment of automations that can alert users or revise records based on certain contact and revenue criteria, which plays a vital role in sustaining a strong data strategy within an organization. In addition, it simplifies the procedures associated with data uploads and large-scale updates, guaranteeing compatibility with a diverse array of integration sources while significantly boosting overall operational effectiveness. Overall, Nucleus is meticulously crafted to offer a holistic solution for organizations striving to enhance their data management methodologies. This comprehensive tool not only meets the present needs of data handling but also adapts to future requirements as business landscapes evolve.

What is Match2Lists?

Match2Lists delivers the fastest, easiest, and most accurate method for aligning, consolidating, and eliminating duplicate entries in your data. Utilizing our Match2D&B feature, you can effortlessly enrich your datasets with Dun & Bradstreet information whenever necessary. In just minutes, you can cleanse your data of duplicates and transform varied raw data into valuable insights. Our main objective is to achieve the best possible matching results for our clients. Prior to launching Match2Lists, we ran analytics and data visualization companies, using several "fuzzy" matching tools available in the market. Disappointed with their poor matching performance, we spent a decade developing the most advanced algorithms for data matching. Additionally, we strive to enhance efficiency: our aim is to enable clients to spend less time on data matching and cleansing, allowing them to concentrate on analysis and implementation. This commitment drove us to deploy our innovative matching logic on the most rapid in-memory cloud computing infrastructure we could secure, capable of processing 200 million records in merely 30 seconds. As a result, organizations can boost productivity and make quick, informed decisions, ultimately transforming their data management approach. Now, they can leverage these improvements to drive growth and success in their respective industries.

Media

Media

Integrations Supported

Gong
Google Workspace
HubSpot CRM
Marketo
Microsoft Teams
MySQL
NetSuite
Outreach
PostgreSQL
SQL Server
Salesforce
Salesloft
Slack
Snowflake

Integrations Supported

Gong
Google Workspace
HubSpot CRM
Marketo
Microsoft Teams
MySQL
NetSuite
Outreach
PostgreSQL
SQL Server
Salesforce
Salesloft
Slack
Snowflake

API Availability

Has API

API Availability

Has API

Pricing Information

$160 per month
Free Trial Offered?
Free Version

Pricing Information

$95 per month
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Nucleus

Company Location

United States

Company Website

getnucleus.io

Company Facts

Organization Name

Match2Lists

Company Location

United Kingdom

Company Website

www.match2lists.com

Categories and Features

Categories and Features

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