Dot

What Dot Does

Dot is an AI-powered data analyst that enables teams to get instant, actionable insights by asking questions in plain English. Instead of hunting through dashboards or writing SQL queries, anyone on your team can ask Dot a data question and receive an answer with charts in seconds—directly in Slack, Microsoft Teams, or email.

Who It's For & The Problem It Solves

Dot is designed for data teams that move fast and companies that want to democratize data access across their organization. It solves the bottleneck problem where business users depend on analysts for every data question, freeing up technical teams while empowering non-technical stakeholders to be self-sufficient. Companies like Duolingo, Choco, and Emerge have reported dramatic improvements in data accessibility and decision-making speed.

Key Features & Capabilities

• Chat Interface: Ask questions in natural language. Dot automatically finds the right tables, writes SQL, and generates visualizations—no technical knowledge required.
• Deep Analysis: Conduct complex, multi-dimensional investigations with drill-downs and full methodology documentation, producing executive-ready reports.
• Automated Reports: Schedule and receive live, presentation-ready PowerPoint reports automatically on your chosen cadence.
• Context Agent: Maintains governed metrics, definitions, and context by pulling from all your data systems (Tableau, Snowflake, Confluence) and creating missing documentation. Resolves naming conflicts and keeps your data dictionary up to date.
• Advanced Security: SOC 2 Type II certified, GDPR compliant, with zero data retention on LLM providers, full audit logging, SSO, RBAC, and row-level security.

Typical Workflows & Use Cases

Teams use Dot for revenue analysis by region, pipeline comparisons, churn rate investigations, account rankings, and automated weekly reporting. The system has been benchmarked on 450+ financial analysis tasks, demonstrating significant time savings and accuracy improvements over manual analysis.

Integrations

Dot connects to major data platforms including Snowflake, BigQuery, dbt, and delivers answers through Slack, Microsoft Teams, and email. It also syncs context from Tableau and Confluence.

What Makes It Different

Dot combines conversational AI with deep data analysis capabilities and governance features. Companies report 18x ROI, 12,000+ hours saved, 99% faster query times, and hundreds of thousands in value discovered through insights that were previously too time-consuming to uncover. The Context Agent ensures accuracy and consistency while the training capabilities allow teams to continuously improve results with business rules and examples.