Introduction to Datalinx AI
Datalinx AI is an AI-powered data integration platform that helps organizations connect, transform, and activate their customer data. Whether you're building a Customer Data Platform, preparing data for AI/ML applications, or implementing data governance, Datalinx AI simplifies complex data operations.
Why Datalinx AI?
Organizations with clean, unified customer data grow revenue up to 75% faster. Yet 85% of AI projects fail due to data readiness issues. Datalinx AI bridges this gap by providing:
- Intelligent Data Discovery - Automatically identify patterns, relationships, and quality issues in your raw datasets
- Flexible Transformation - Standardize and transform data using visual mapping, SQL expressions, or AI-assisted workflows
- Data Enrichment - Strengthen datasets with contextual information and identity resolution
- Continuous Monitoring - Maintain data quality and detect anomalies before they impact downstream systems
- AI-Powered Exploration - Generate analytical insights through natural language queries
- Seamless Activation - Deploy clean data into your operational systems via reverse ETL
Key Capabilities
Discover
Automatically analyze your data sources to understand schemas, identify patterns, detect quality issues, and discover relationships between tables.
Transform
Map source fields to target schemas using visual drag-and-drop, SQL expressions, or AI-assisted mapping suggestions. Support for complex transformations including CTEs, aggregations, and custom business logic.
Enrich
Enhance your data with identity resolution, brand matching, and contextual enrichment to create a unified view of your customers.
Monitor
Set up automated monitoring rules to detect data quality issues, schema drift, and anomalies. Get alerts before problems impact your business.
Explore
Use natural language to query your data and generate insights. The AI-powered exploration agent helps analysts and strategists understand their data without writing SQL.
Activate
Push transformed data to your operational systems including CRMs, marketing platforms, and data warehouses through scheduled or real-time pipelines.
Supported Integrations
Datalinx AI integrates with the modern data stack:
| Category | Integrations |
|---|---|
| Data Warehouses | Snowflake, Databricks, PostgreSQL, BigQuery |
| CRM Systems | Salesforce, HubSpot |
| Marketing Platforms | Adobe, Meta, Google Ads |
| Cloud Storage | AWS S3, Azure Blob, GCS |
| LLM Providers | OpenAI, Anthropic, Snowflake Cortex |
Architecture Overview
Datalinx AI follows a modern Control Plane / Data Plane architecture:
- Control Plane: Manages configuration, user interface, and orchestration
- Data Plane: Executes data processing in isolated, secure environments
This separation ensures security, scalability, and compliance with enterprise requirements.
Getting Started
Ready to start? Follow our Quick Start Guide to set up your first workspace and connect your data sources.
Who Uses Datalinx AI?
- Data Engineers building and maintaining data pipelines
- Data Architects designing unified data models
- Business Analysts exploring and analyzing customer data
- Marketing Strategists activating audiences across channels
- Data Scientists preparing data for ML/AI applications
Next Steps
- Quick Start - Set up Datalinx AI in minutes
- Core Concepts - Understand key terminology
- System Requirements - Check prerequisites