Introducing Mega AI Agent

Introducing Mega AI Agent
You describe the task. Mega AI Agent builds the full workflow in Megaladata – every calculation, filter, and data join visible from the first step, ready to inspect, edit, and rerun.

What Mega AI Agent does

Mega AI Agent works via a chat interface. Describe the task in natural language. Attach files for processing, or set up a connection to your database and enterprise systems. The agent reads the request, asks clarifying questions if necessary, and assembles the workflow in Megaladata.

 

A practical example:

Take an inventory problem: "The warehouse is full, but best-selling items are running short; review the assortment, show me what to reorder and where money is tied up." The agent processes the prompt and the attached data files, then builds the full workflow – stock and demand calculations, product catalog filtering, and a merged output showing inventory risks.

Mega AI Agent in action: a business prompt becomes a working workflow

What appears is the full workflow: data sources, processing steps, calculations, and the final output node. Every step is visible and every node can be selected, checked, and modified. The agent handles data preparation, row filtering, calculations, table joins, and groupings from Megaladata's component library. The workflow logic produced reflects the actual business logic of the organization.

When the underlying data changes, the agent can rerun or modify the workflow independently or under your guidance. The agent can also work with an existing workflow. Specify the package and the changes needed, and save the ready workflow as a new package file to compare it with the original.
 

Your environment. Clear terms.

Mega AI Agent is a desktop application that opens Megaladata in a managed browser and builds the workflow locally. Everything you need to get started is included in the installer, available for Windows, macOS, and Linux.

The agent connects to databases and enterprise systems through your organization’s existing secure infrastructure. Local files can be attached when needed. Task prompts and context are sent to the model provider for agent operation; workflow data stays in Megaladata.

The Megal AI Agent application stores local settings, session history, and copies of attachments on the machine. The Megaladata MCP Server provides Mega AI Agent with the tools and platform knowledge required for building workflows.

 



AI-driven workflows are no longer a future capability. They are available now.

* Mega AI Agent is available to Megaladata Server clients. 

See also

Megaladata as an Automation Tool: Case Study
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How an E-commerce Retailer Reformed Replenishment in Three Months: Case Study
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Semantic Layer
Semantic Layer
Large volumes of complex information force analysts to focus more on data management tasks than on data analysis. A specialized mechanism named "semantic layer" solves this problem. It provides a business...

About Megaladata

Megaladata is a low code platform for advanced analytics

A solution for a wide range of business problems that require processing large volumes of data, implementing complex logic, and applying machine learning methods.
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