whereismyai
Dot
Dot is an AI data analyst that answers data questions using natural language by querying databases and generating charts and reports.
Dot functions as an AI data analyst that allows users to ask data questions in plain English. The platform finds relevant tables, writes SQL queries, and generates charts or multidimensional analysis automatically. Users can train the system on specific business rules, definitions, and examples using the built-in context agent. It connects to data sources via no-code integrations or an API. The platform provides automated, executive-ready reports delivered via email or messaging platforms. It is designed to assist both technical and non-technical stakeholders in obtaining data insights.
Dot at a glance
- Best for: Finance, Product manager, Director
- Runs on: Web, Slack, Microsoft Teams
- Pricing: Free plan (300 credits); Pro $180/month annual; Team $720/month annual; Custom Enterprise plans available.
- Released: March 2023
- Category: AI research tool
- Website: getdot.ai
Key features
- Natural language to SQL generation
- Automated chart and visualization creation
- Multi-dimensional data analysis
- Automated executive report delivery
- Context agent for custom business rules
- SOC 2 audited and GDPR ready environment
- Row-level security and SSO support
Use it for
- Answering ad-hoc data questions
- Generating automated PowerPoint reports
- Conducting multi-dimensional investigations
- Documenting data metrics and definitions
Alternatives to Dot
- AskYourDatabase — Query databases, inspect generated SQL, and build charts using natural language.
- Data Analysis Agent — It enables non-technical users to perform complex data analysis through chat.
- Rows — Analyze business data and build reports using plain language instead of formulas.
- Routines — Connects 130+ tools and uses an AI analyst to automate reports and actions.
- RowSpeak — It automatically turns messy business files into reviewable charts, dashboards, and reports.
- Rill — Get instant, visual answers to data questions via natural language.
- Wren AI — It provides transparent, open-source SQL generation that runs in your own infrastructure.
- Bricks — It creates professional data dashboards from spreadsheets using natural language.
- SQLBot — It enables conversational data analysis using large language models and RAG.
- ktx — It gives data agents a shared context workspace of approved metrics and git-based files.
- DB-GPT — Builds autonomous agents for complex data tasks with private LLM technology.
- Athenic — Generates data insights using plain English queries without requiring SQL.
All Dot alternatives