Dot

Description

Dot is an AI data analyst that turns natural-language questions into governed SQL, charts, and written answers, so teams can get instant, actionable insights without waiting on the data team. It works where people already are, delivering answers in Slack, Microsoft Teams, email, and the web, and is trusted by companies including Duolingo, Choco, and Emerge.

Dot goes beyond quick chat answers with deep, multi-dimensional analysis and drill-downs, automated executive-ready reports (including PowerPoint) on a schedule, and a Context Agent that pulls metrics, context, and definitions from your data systems and creates missing documentation. Every answer is grounded in your data model and semantic layer with automated validation and full auditability, and access respects role-based, row-level permissions. Dot connects to 35+ data sources, including Snowflake, BigQuery, Redshift, Looker, Power BI, dbt, and more, with no-code integrations or an API, and uses OpenAI, Anthropic, and Gemini models with zero data retention.

Dot is SOC 2 Type II and GDPR compliant, with SSO and full audit logging. It offers a free plan with 300 one-time credits, plus Team ($180/month annual), Pro/higher tiers ($720/month annual with SSO and row-level security), and custom Enterprise plans. It is aimed at data teams and their stakeholders who want fast, governed self-service analytics.

Dot's Core Features

• Natural-language questions answered with SQL, charts, and text

• Delivery in Slack, Microsoft Teams, email, and the web

• Deep analysis with drill-downs and full methodology

• Automated executive-ready reports on a schedule

• Context Agent for governed metrics and documentation

• 35+ data connectors plus API

• Role-based and row-level access with full auditability

• SOC 2 Type II and GDPR compliance with zero data retention

How to use Dot?

1. 1

   Connect your data: link warehouses, semantic layers, and communication tools with no-code integrations.

2. 2

   Add context: use the Context Agent to bring in metrics, definitions, and business rules.

3. 3

   Ask a question: query your data in natural language from Slack, Teams, or the web.

4. 4

   Get governed answers: receive SQL-backed charts and written insights with validation.

5. 5

   Automate reports: schedule executive-ready reports to be delivered automatically.

Dot's Use Cases

• Self-service analytics
• Deep analysis
• Automated reporting
• Governed data access
• Data team deflection

FAQ from Dot

• What is Dot?

  An AI data analyst that answers any data question in seconds with governed SQL, charts, and written answers, delivered in Slack, Teams, and the web.

• Is my data safe?

  Yes. Dot is SOC 2 Type II and GDPR compliant, uses all LLM providers with zero data retention, and includes SSO, role-based access, and full audit logging.

• Which models power Dot?

  Dot uses OpenAI, Anthropic, and Gemini models, and data sent to them is never used for training.

• Can I trust the results?

  Yes. Every answer is based on your data model and semantic layer, with automated validation, an evaluation framework, and full auditability.

• What does it connect to?

  35+ data sources including Snowflake, BigQuery, Redshift, Looker, Power BI, and dbt, via no-code integrations or the API.

• Will Dot replace my data team?

  No. Dot handles repetitive ad-hoc requests so analysts can focus on strategic work.