The embedded connectivity layer that makes AI work in your product
Give agents and AI features secure, live access to 350+ customer systems so they can reason and act across real data
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Connectivity is the foundation beneath data-dependent AI features
With Connect AI Embed, your copilots and agents can query, reason, and act on customer data across systems—without brittle integrations, replication, or security tradeoffs.
Ship AI assistants your customers can trust
Connect your AI features to your customers' most critical business data sources—systems like Salesforce, Jira, NetSuite, or Snowflake. With Connect AI Embed, copilots can generate summaries, automate workflows, and surface insights from your customers' data in real time.
Deploy enterprise-grade agents your customers can rely on
Give your agents the ability to read and write across all your customers' systems—without manual setup, custom integration logic, or credential overhead. CData handles system-specific complexity so agents can reason and act reliably across live customer data.
Build multi-step, cross-system workflows on:
- LangChain
- LangGraph
- Crew AI
- And any other MCP-compatible framework
Product Lead, Data Analytics and BigQuery Governance, Google
Head of Engineering at Palantir Technologies
CEO, Ellie.ai
Learn how Connect AI Embed compares to unified API solutions and iPaaS providers
Product leaders
Bring differentiated AI features to market faster without draining engineering resources. With CData's secure, scalable data layer, copilots and agents operate on customer data from day one, with zero manual setup.
Watch the Demo VideoEngineering leaders
Offload the hardest parts of AI data integration—connector sprawl, credential management, and source-specific complexity. With CData, your team gets a reliable, production-ready layer for live data access across 350+ systems.
See a Technical OverviewConnectivity, context, and control—built for AI that has to work
Connectivity
One embedded layer across your customers' systems
Deliver agents and AI features that operate on live customer data, without caching or third-party storage. With CData's embeddable MCP layer, you will have consistent, governed access to 350+ systems.
Browse the full connector library
Context
Customer-specific context AI can reason with
Give your AI agents and features the ability to understand each customer's world—their definitions, relationships, and structure—without hardcoding logic or flattening schemas. With Connect AI Embed, you deliver live, source-level context that adapts to every environment.
Control
Security, compliance, and governance—built in
Enforce strict data boundaries without adding friction. Connect AI Embed handles source-level auth, tenant isolation, and credential lifecycle so agents operate securely, and every action stays visible and within bounds.
What you gain with Connect AI Embed
Talk to an Engineer- Launch new copilots and agents in days, not quarters
- Say yes to customer integration requests without expanding your team
- Stop maintaining brittle sync jobs, scripts, and API wrappers
- Increase product stickiness with AI features that work on day one
- Shorten onboarding with zero-setup customer data access
- Differentiate with intelligence that works across your customer's stack
How Connect AI Embed works
Provide AI agents and features with secure, real-time access to 350+ customer data sources.
Your product becomes AI-enabled on day one
Your customers interact with their data through natural language—across systems, with full context, no sync jobs, and no custom pipelines.
Embed the connection launcher
Embed a brandable CData connection page in your product. We handle authentication, API access, and credential management for 350+ customer systems—no backend work required.
Your customers connect their systems
Your customers turn on sources like Salesforce, NetSuite, and Snowflake, and hundreds of others using their own credentials—no tickets, no code, no leaving your app.
CData manages the connection
CData authenticates, maintains, and virtualizes access behind the scenes—including token refresh, schema updates, and metadata discovery.
Your AI features query live customer data
At runtime, your copilots and agents call standardized MCP tools (getSchema, runQuery, executeProcedure) to retrieve and act on real-time data across sources.
Additional resources
Ship AI and agents customers rely on
Get a personalized walkthrough of how embedded connectivity supports live data access, governance, and scale for AI inside your product.