Plauti Reviews & Ratings

Plauti

4.4 out of 5 stars
Company Website for Plauti

Ratings and Reviews 123 Ratings

Ratings and Reviews 0 Ratings

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ease 0 out of 5 stars
features 0 out of 5 stars
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What is Plauti?

Plauti enhances data integrity within Salesforce and Microsoft Dynamics 365 CE, empowering teams to automate processes, generate reports, and leverage AI on reliable records. By ensuring that no information is sent to external servers, all operations occur within your CRM, allowing administrators to maintain complete control without needing to submit any IT requests. The solution addresses data quality throughout the entire record lifecycle, providing a comprehensive overview of data health for all objects and fields, enabling the entire team to operate with a consistent and accurate understanding. It facilitates the bulk cleaning of duplicates, standardizes data formatting, and verifies the validity of emails, phone numbers, and addresses. Additionally, Plauti proactively prevents poor-quality records from entering the system, whether they originate from manual input, imports, APIs, or AI-driven tools such as Agentforce and Copilot. Clean data can be immediately utilized for routing and downstream distribution, allowing AI to function effectively on dependable records. As Plauti is integrated directly with the infrastructure of Salesforce and Dynamics 365 CE, it seamlessly adopts your current permissions and security protocols, eliminating the need for separate logins, avoiding delays in data synchronization, and ensuring compliance with regulations. This deep integration not only optimizes workflow but also enhances trust in your data management processes.

What is NORMLZ?

NORMLZ is a specialized tool aimed at normalizing data, effectively standardizing and correcting inconsistencies within HubSpot. This software addresses the challenges associated with extensive datasets, where varying data formats can hinder analysis, result in unproductive campaigns that may lead to revenue loss, and complicate reporting processes. It integrates effortlessly with your HubSpot account, with future plans to offer compatibility with Salesforce and Apollo as well. The engine adeptly identifies and aligns variations, converting entries such as "CEO," "C.E.O," and "Chief Executive Officer" into a consistent format. Furthermore, it unifies location data like "New York," "NYC," and "New York City," while also maintaining uniformity in company names, for example, "IBM Corp" and "IBM Corporation." By utilizing NORMLZ, users can significantly elevate their data quality, which ultimately fosters more accurate insights and enhances decision-making capabilities. This tool not only optimizes data but also streamlines the overall operational workflow, providing a comprehensive solution for businesses looking to improve their data management strategies.

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Integrations Supported

Microsoft Dynamics 365
Salesforce

Integrations Supported

HubSpot CRM

API Availability

API Availability

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Pricing Information

$5/month
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Not specified

Company Facts

Organization Name

Plauti

Date Founded

2011

Company Location

Netherlands

Company Website

www.plauti.com

Company Facts

Organization Name

HubProsper

Date Founded

2025

Company Website

normlz.com

Categories and Features

Data Deduplication

Not specified

Data Enrichment

Not specified

Data Management

Customer Data
Data Quality Control
Match & Merge

Data Preparation

Data Cleansing
Data Transformation

Data Quality

Address Validation
Data Deduplication
Match & Merge

Email Verification

Bulk Email Verification
Single Email Verification

Lead Management

Lead Distribution

Master Data Management

Data Governance
Match & Merge

Phone Verification

Not specified

Categories and Features

Data Quality

Not specified

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