DashAI is a multi-agent LLM–powered analytics system designed to simplify data exploration and visualization.
Users can upload datasets and interact with them using natural language to generate insights, execute code, and create interactive Plotly dashboards. Unlike traditional dashboards that require predefined logic, DashAI dynamically orchestrates specialized agents, a Supervisor, Pandas, Coder, and Plotter agent, to understand user intent and deliver results in real time.
Architecture Overview
DashAI is designed as a multi-agent system powered by LangChain, with a central Supervisor Agent responsible for orchestrating the entire workflow. User requests and uploaded datasets are first handled by the Supervisor, which interprets intent, plans the execution steps, and determines which specialized agents should be invoked.
The system delegates tasks to three core agents: the Pandas Agent for data loading and data analysis, the Coder Agent for Python-based code execution, and the Plotter Agent for generating interactive Plotly visualizations. Each agent operates independently and reports results back to the Supervisor, which consolidates the outputs and renders them in the DashAI dashboard, ensuring modularity, clarity, and scalable execution.
DashAI Capabilities
DashAI is designed to handle a wide range of data exploration and visualization scenarios through natural language interaction.
Natural Language Data Analysis: DashAI can handle many data analysis, comparison, and summarization.
Automated Data Processing: Clean, filter, aggregate, and transform datasets using the Pandas Agent based on user intent.
Python Code Execution: Perform calculations, statistical analysis, and custom logic through the Coder Agent in a controlled environment.
Interactive Plot Generation: Create dynamic, interactive Plotly charts including bar charts, line plots, scatter plots, and dashboards.
Multi-Step Reasoning: Handle chained requests such as preparing data first and then visualizing results, all within a single conversation.
DashAI Use Cases
DashAI can be used in many applications:
Exploratory Data Analysis (EDA): Quickly understand new datasets through summaries, distributions, and visual insights.
Business Intelligence & Reporting: Generate on-demand visual reports without pre-built dashboards or SQL queries.
Data Science Prototyping: Accelerate analysis workflows by offloading repetitive data preparation and plotting tasks.
Non-Technical User Enablement: Empower analysts, product managers, and stakeholders to work directly with data using plain English.
Ad-Hoc Analysis & Experimentation: Rapidly test hypotheses and visualize outcomes without switching tools or writing boilerplate code.
See DashAI in Action
Curious how DashAI turns raw data into insights using a multi-agent LLM?
Book a quick demo to see how easily you can upload data, ask questions in plain English, and get instant analysis and interactive visualizations, no setup required.
