Dot

Dot is an AI data analyst designed to work where your team already collaborates: Slack and Microsoft Teams. Instead of bouncing between chat, BI dashboards, and ad‑hoc SQL, Dot lets anyone ask data questions in plain English and get trustworthy answers fast. Connect Dot to your existing data stack—warehouses like Snowflake, BigQuery, and Redshift, plus other common databases and analytics sources—or simply upload files such as CSV and XLSX. Then ask questions about KPIs, funnels, revenue, retention, customer behavior, operational performance, and more. Dot responds with clear tables, charts, and narrative explanations, and can assemble results into shareable reports.

Unlike general-purpose AI chatbots, Dot is built specifically for analytics workflows. It focuses on producing accurate, reliable insights grounded in your connected data, helping teams reduce the risk of made-up answers and minimizing the back-and-forth that usually comes with data requests. This makes Dot useful for both everyday self-serve questions (“What changed in conversion last week?”) and deeper analysis, including transformations, trend exploration, and forecasting. Because it lives inside Slack or Teams, the output can be consumed and acted on instantly in the same place decisions are made.

Getting started is straightforward: connect a supported database (e.g., BigQuery, Redshift, Postgres, ClickHouse, Snowflake, Databricks, and more) or upload a dataset, then begin querying in natural language. Dot handles the analysis and returns results in the most helpful format—charts, graphs, tables, or structured reports—so non-technical users can move quickly without writing SQL or Python, while analysts can save time on repetitive requests.

For access, sign in at https://app.getdot.ai/login or create an account at https://app.getdot.ai/register. For support, contact [email protected] or visit https://www.getdot.ai/about for additional company details.