The AI agent Dot by Dotai is a groundbreaking solution designed for data analytics, providing users with the ability to interact with data through natural language queries. Its primary utility lies in its seamless integration with the dbt Semantic Layer, allowing users to glean intuitive, flexible, and accurate insights from complex datasets without requiring advanced SQL or business intelligence (BI) skills. By leveraging large language models (LLMs), Dot simplifies the querying process, making data analytics more accessible to a wider audience. Dot offers a robust set of features tailored for effective data analysis, ensuring that users can derive meaningful insights effortlessly. Below is a detailed overview of its features: Dot can be utilized in various scenarios across different industries, enhancing data analysis and decision-making processes. Here are some practical applications: Getting started with the AI agent Dot by Dotai is straightforward. Users can follow these steps:Features
Feature
Description
Natural Language Interaction
Users can ask questions in natural language, simplifying the querying process significantly.
Context-Aware Queries
Retains context from previous queries, enabling follow-up questions for deeper insights.
Automatic Metric Calculation
Fetches predefined metrics and calculates additional metrics dynamically based on user requests.
Flexible Visualization
Customizable visual presentations based on user preferences, including chart types and data highlights.
Easy Integration
Minimal setup required, with straightforward configuration steps to link with the dbt semantic layer.
Governance and Business Logic
Ensures consistent data interpretation by adhering to defined business logic within the dbt environment.
Use cases
How to get started
The pricing is structured into three main plans, each offering a different level of features and capabilities. Below are the indicative prices:Pricing for AI Agent "Dot" from Dot.ai
Starter Plan
Standard Plan
Enterprise Plan