Average Ratings 122 Ratings
Average Ratings 0 Ratings
Description
Plauti builds native data-quality applications that run entirely within your CRM environment. No data is sent to external servers or third-party processing services, and there’s no parallel infrastructure to maintain. Your data stays where it belongs: under your control, behind your security perimeter, governed by your own access model.
For Salesforce, Plauti addresses the full lifecycle of data quality:
> Prevention at entry: Real-time duplicate detection alerts users as they type, blocking bad data before it’s created.
> Detection from external sources: Identify duplicates coming from integrations, imports, and APIs, so data quality doesn’t degrade over time.
> Batch remediation at scale: Run powerful batch jobs to find, review, and merge existing duplicates, with full audit trails for compliance and governance.
> Contact data verification: Validate email addresses and phone numbers before they’re saved to reduce bounces and failed outreach.
All processing runs natively on Salesforce infrastructure. Plauti respects your existing profiles, roles, and permission sets, so there’s no separate login, no data synchronization layer, and no new security surface to harden.
For Microsoft Dynamics 365, Plauti provides similar control over duplicates with real-time alerts, API-driven detection, batch processing, and cross-entity matching. It’s designed for CRM admins and data stewards who need direct, immediate control over data quality without waiting on developers, external consultants, or long IT ticket queues.
Description
Senzing® entity resolution API software provides the most advanced, affordable, and easy-to-use data matching and relationship detection capabilities available. With Senzing software, you can automatically resolve records about people, organizations and their relationships in real time as new data is received.
The highly accurate and complete views Senzing software delivers allow you to reduce costs and enable new revenue opportunities. Senzing provides a set of libraries that that can be deployed on premises or in the cloud, in a variety of ways, depending on your architecture and environment requirements. Data remains in your ecosystem and never flows to Senzing, Inc.
Minimal data preparation is required when and no tuning, training or entity resolution experts are needed. A free proof of concept can be completed in about six hours on AWS or bare metal. You can try the Senzing API on up to 100K records for free.
API Access
Has API
API Access
Has API
Integrations
AWS CloudFormation
Amazon RDS
Amazon Simple Queue Service (SQS)
Apache Kafka
Docker
Elasticsearch
Google Cloud Platform
IBM Db2
MariaDB
Microsoft Azure
Integrations
AWS CloudFormation
Amazon RDS
Amazon Simple Queue Service (SQS)
Apache Kafka
Docker
Elasticsearch
Google Cloud Platform
IBM Db2
MariaDB
Microsoft Azure
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
Plauti
Founded
2011
Country
Netherlands
Website
www.plauti.com/platform
Vendor Details
Company Name
Senzing
Founded
2016
Country
United States
Website
senzing.com
Product Features
Customer Data Platforms (CDP)
Behavioral Analytics
Campaign Management
Customer Profiles
Customer Segmentation
Data Integration
Data Matching
GDPR Compliance
Personalization
Predictive Modeling
Data Management
Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge
Data Management Platforms (DMP)
Ad Network Integration
Analytics / ROI Tracking
Audience Targeting
Behavioral Analytics
CRM
Campaign Management
Competitive Analysis
Customer Journey Mapping
Data Capture / Transfer
Data Classification
Data Visualization
Data Preparation
Collaboration Tools
Data Access
Data Blending
Data Cleansing
Data Governance
Data Mashup
Data Modeling
Data Transformation
Machine Learning
Visual User Interface
Data Quality
Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management
Email Verification
Bulk Email Verification
Catch-all Server Detection
Disposable Email Detection
Domain Check
Mail Server Validation
Single Email Verification
Spam Trap Detection
Syntax Check
Lead Management
Activity Tracking
Campaign Management
Lead Capture
Lead Distribution
Lead Nurturing
Lead Scoring
Lead Segmentation
Pipeline Management
Prospecting Tools
Source Tracking
Master Data Management
Data Governance
Data Masking
Data Source Integrations
Hierarchy Management
Match & Merge
Metadata Management
Multi-Domain
Process Management
Relationship Mapping
Visualization
Product Features
AML
Behavioral Analytics
Case Management
Compliance Reporting
Identity Verification
Investigation Management
PEP Screening
Risk Assessment
SARs
Transaction Monitoring
Watch List
Customer Data Platforms (CDP)
Behavioral Analytics
Campaign Management
Customer Profiles
Customer Segmentation
Data Integration
Data Matching
GDPR Compliance
Personalization
Predictive Modeling
Data Analysis
Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics
Data Fabric
Data Access Management
Data Analytics
Data Collaboration
Data Lineage Tools
Data Networking / Connecting
Metadata Functionality
No Data Redundancy
Persistent Data Management
Master Data Management
Data Governance
Data Masking
Data Source Integrations
Hierarchy Management
Match & Merge
Metadata Management
Multi-Domain
Process Management
Relationship Mapping
Visualization