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Gateway connecting AI agents to enterprise data. Optimizes token spend, ensures accurate responses, and centralizes real-time access governance.
What is CData Connect AI?
CData Connect AI is an enterprise AI gateway platform designed to provide governed and contextualized access to corporate data from any artificial intelligence model or agent. Its primary function is to act as an AI Gateway that unifies connectivity between complex data systems and generative AI applications, ensuring that responses are accurate, secure, and cost-effective. This tool is primarily aimed at IT teams, developers, and data architects who need to deploy AI solutions at scale without compromising security or data integrity.
The technology behind CData Connect AI is built on the Model Context Protocol (MCP) standard, enabling native interoperability between agents like Claude Code or Microsoft Copilot and hundreds of data sources. The architecture includes a Context Engine that applies business definitions and metric logic to every query, along with a Virtual Data Layer that facilitates direct access to systems such as Salesforce, Oracle, Snowflake, or Databricks. By functioning as an abstraction layer, the platform allows large language models (LLMs) to interact with data using standard SQL, eliminating the need to develop custom integrations from scratch.
Key capabilities of CData Connect AI include:
- Advanced Governance and Security: Implements user identity-based access control through SSO and identity propagation, ensuring that the AI inherits permissions from the source system and complies with regulations such as GDPR or HIPAA.
- Cost and Token Optimization: Reduces spending on LLM tokens by filtering and processing data before sending it to the model, delivering only the context strictly necessary to complete the task.
- Intelligent Request Routing: Allows each request to be directed to the most suitable model (OpenAI, Anthropic, Gemini, among others), prioritizing efficiency and cost savings based on the complexity of the interaction.
- High-Precision Grounding: Improves response accuracy by providing real data schemas and metadata, drastically reducing AI hallucinations in production environments.
From a practical standpoint, CData Connect AI enables companies to centralize the management of their autonomous AI agents within a single control plane. This allows any application—from an internal chatbot to a complex analytics system—to use real-time updated data without the need to replicate or move it from its original location. By providing native data connectivity for AI, the tool accelerates the deployment of intelligent solutions, moving from evaluation to full implementation in just a few weeks.
CData Connect AI features and use cases
How to use CData Connect AI
CData Connect AI FAQ
What is CData Connect AI and how is it used?
It is an AI gateway that securely connects your agents and models with your enterprise data. It enables AI to access real-time information to provide accurate responses based on your actual business context.
How does CData Connect AI ensure the security of my corporate data?
The platform uses bank-grade encryption and end-user SSO authentication to ensure that every query respects existing permissions. It also holds SOC 2 and ISO certifications to meet the most demanding security standards.
Does CData Connect AI store information from my source systems on its servers?
No, this solution does not store or cache your business data at any time. Queries are performed directly on the source systems in real time, and only metadata is logged for auditing and control purposes.
Which AI models are compatible with CData Connect AI?
It is compatible with a wide variety of models and agents, including OpenAI, Anthropic, Google Gemini, and Microsoft Copilot. It also integrates easily with development tools like LangChain and agent environments such as Claude Code.
How does CData Connect AI help reduce token costs?
It reduces spending by sending only the strictly necessary context to the models and by performing pre-filtering or calculations within its virtual layer. This minimizes the number of tokens processed and allows you to use more cost-effective models for simpler tasks.
What types of data sources can I connect to CData Connect AI?
You can connect hundreds of sources, ranging from SaaS applications like Salesforce and NetSuite to databases such as SQL Server, Snowflake, and Databricks. Integration is direct and requires no custom code.
What happens when my CData Connect AI trial period ends?
The free trial expires automatically after 14 days without any charges to your credit card. To continue using the service, you can choose one of the available plans and keep all the configurations you have already set up.
CData Connect AI pricing and plans
Free Trial: Available for 14 days with no credit card required. Explore all features before upgrading to a paid plan.
Standard: $99/month (billed monthly) or $79/month (billed annually).
1 user included.
1 data source included.
Standard support.
Limited access to standard data sources.
Option to add additional users and sources via add-ons.
Growth: $199/month (billed monthly) or $159/month (billed annually).
Includes all Standard plan features.
Access to Standard, Growth, and Premium data sources.
Derived views.
Option to add additional users and sources via add-ons.
100 million records per month limit (subject to fair use policy).
Business Plans: Pricing upon request (requires an annual contract with volume discounts).
Custom number of data sources.
Access to all sources (Standard, Growth, and Premium).
Pooled tool calls.
Premium support and dedicated Customer Success Manager.
Passthrough identity.
SCIM 2.0 support and Enterprise SSO (Entra ID, Okta).
Regulatory compliance for regulated industries.
Custom tools.
Expandable 100 million monthly record limit.
CData Connect AI Screenshots
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