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Once you log in to the platform, you will land on the Reports section by default, providing a performance overview of AI and data models.

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Reports

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Sync Reports

View real-time sync status on data movement from your data sources to destinations, such as:
  • Databases
  • Data warehouses
  • Business applications

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Data App Reports

Monitor the real-time usage of AI models deployed within business applications, tracking adoption and performance.

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Sources

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Data Source

These include:
  • Data warehouses
  • Databases
  • Other structured/unstructured data sources

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AI/ML Source

Endpoints for AI/ML models, such as:
  • Large Language Models (LLMs)
  • Custom AI/ML models

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Destinations

Business applications where AI insights or transformed data are delivered, including:
  • CRMs
  • Support systems
  • Marketing automation tools
  • Other databases

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Models

Data models define and organize the data you want to query from a source.

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Syncs

Syncs define how query results from a model should be mapped and transferred to a destination.

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Data Apps

Data Apps enable you to:
  • Integrate AI/ML insights directly into business applications.
  • Connect to AI/ML sources.
  • Build visualizations for business users to consume insights effortlessly.

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Knowledge Bases

Knowledge Bases help you make structured and unstructured data more usable inside AI workflows.

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MCP Tools

The MCP Tools Component defines which MCP tools an Agent can use in a workflow. The MCP tools themselves do not execute by themselves. The Tools Component:
  • Points to an MCP server
  • Lists the tools available by that server
  • Lets users select which tools an Agent is allowed to use
This keeps closer access control over the tools.

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Model Hub

Model Hub is the single place where you can discover, select, manage, and govern all your LLMs without switching between multiple tools. Model Hub is designed to be configured with a wide range of model categories:
  • Foundation Models: Access top LLMs from leading providers and use them directly in your workflows
  • In-House Models: Host and govern your fine-tuned or proprietary models built for specific business needs
  • External & Partner Models: Bring in OpenAI-compatible third-party models from partner ecosystems, no vendor lock-in

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AI Workflows

The AI Workflow Builder provides a chat-driven interface for creating and modifying workflows using natural language:
  • Gather input from users or systems
  • Enrich that input with contextual data
  • Execute one or more AI reasoning steps
  • Process intermediate and final results
  • Deliver structured output to downstream consumers

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Chat Assistants

Chat Assistants are the interfaces through which you can access published AI workflows. Once an AI workflow is built and published, it can be exposed as a chat Assistant. Chat Assistants provide an interactive layer that allows users to submit queries and receive responses