Dot

Dot is a web, chat-based AI data analyst for data teams and business stakeholders who need fast, governed answers to questions about company metrics.

Key capabilities include:

• Natural-language chat analytics that finds relevant tables, writes SQL, and returns answers with visualizations, including support for multiple languages.
• Deep Analysis for complex investigations, including root-cause analysis, statistical insights, and executive-ready reports with documented methodology.
• Automated reports that deliver scheduled, presentation-ready business updates with actionable recommendations (including delivery via Slack, Microsoft Teams, and email).
• Context Agent and semantic layer to add instructions, examples, and business rules so analyses follow approved metric definitions and consistent logic.

Pricing: Freemium with Starter (Free), Standard ($699/month), and Enterprise (Custom). Startup, NGO, and university faculty discounts are available. API access is included in higher plans.

Notable for combining self-serve analytics for non-technical users with governance and security controls, including SOC 2 Type II, GDPR support, audit logging, SSO, RBAC, and row-level security. It is benchmarked on 450+ Adyen financial analysis tasks and is used by teams at Duolingo, Choco, and Emerge.