Dot, by Dotai (getdot.ai), is an AI-powered data analyst agent that connects to enterprise data warehouses and semantic layers so that non-technical stakeholders can ask business questions in plain language and receive instant, trustworthy answers. It is designed to eliminate the bottleneck of routing ad-hoc data requests through data teams by letting anyone ask questions like 'Why did conversion drop in EMEA last week?' and get a structured breakdown in minutes. Dot integrates directly with major cloud data warehouses including Snowflake, BigQuery, Redshift, and PostgreSQL. It also connects to semantic layers and transformation tools such as dbt, Looker, Power BI models, and Cube, reusing existing business logic rather than requiring users to rebuild definitions. This means answers respect the same metric definitions and access controls already in place. The agent is surfaced through Slack, Microsoft Teams, or a native web application. It supports multi-language queries (English, Spanish, German, Arabic, Korean) and enforces data privacy through role-based permissions and row-level security policies inherited from the underlying warehouse. Dot recently launched a 'Deep Analysis' capability designed for high-level, complex questions about business performance, going beyond single-metric lookups to multi-step investigative analysis. Other core capabilities include automated reports, a Context Agent for documenting data meaning, and a CLI for developer integration. The company is Y Combinator-backed, headquartered in San Francisco, and has approximately 7 employees with reported ARR around $770K as of 2025. Notable customers include Duolingo, Choco, and Emerge. Key features: - Natural language queries against data warehouses (Snowflake, BigQuery, Redshift, PostgreSQL) - dbt and Looker semantic layer integration, reusing existing business logic - Slack and Microsoft Teams native interface for instant data Q&A - Deep Analysis for multi-step, high-level business performance questions - Row-level security and role-based permissions enforced at query time - Multi-language support (English, Spanish, German, Arabic, Korean) - Automated reports and scheduled data digests - CLI and developer API for programmatic access
Starts at $799/month; 50% discount for startups with 30 or fewer employees, accredited NGOs, and university faculty