Audience
Developers, IT, RevOps, AI
About Neblex Integration Fabric
Neblex Integration Fabric is an AI-native integration platform (iPaaS) for connecting business applications, databases and on-premises systems, automating workflows and building AI agents. Teams build flows, forms, internal apps, data tables and AI agents in one workspace, using a visual builder or an AI assistant through the Neblex MCP server. 300+ connectors include Salesforce, HubSpot, NetSuite, SAP, Dynamics 365, Stripe, Zendesk, Jira, Shopify, Slack, Snowflake, PostgreSQL, Kafka, MQTT and SFTP. A lightweight native worker runs flows on-premises, keeping record data inside your network. Bad records are quarantined for review, and run history, replay and health monitoring make failures visible. Common uses include CRM to billing sync, quote-to-cash, ticket triage, data warehouse loads and event pipelines for RevOps, IT, support, data and engineering teams. A marketplace offers tested workflow and AI agent tool templates.
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Pricing
Starting Price:
$500/year
Pricing Details:
Free pricing tier with generous usage limits, after which paid pricing starts at $500 annually for individuals and small teams.
Free Version:
Free Version available.
Free Trial:
Free Trial available.
Company Information
Neblex
Founded: 2024
United States
www.neblex.com/integration-fabric
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Product Details
Platforms Supported
Cloud
Windows
Mac
Linux
On-Premises
Training
Documentation
Videos
Support
Phone Support
Online
Neblex Integration Fabric Frequently Asked Questions
Neblex Integration Fabric Product Features
Integration
Dashboard
Supported
ETL - Extract / Transform / Load
Supported
Multiple Data Sources
Supported
Web Services
Supported
Metadata Management
Not Supported
iPaaS
AI / Machine Learning
Supported
Cloud Data Integration
Supported
Dashboard
Supported
Data Quality Control
Supported
Drag & Drop
Supported
Integration Management
Supported
Pre-Built Connectors
Supported
White Label
Supported
Workflow Management
Supported
Data Security
Not Supported
Embedded iPaaS
Not Supported
