Sled
Dot is an AI-powered data analyst that lets teams ask questions in natural language and receive instant answers, charts, and root-cause analyses directly within Slack, Microsoft Teams, email, or its web app. The platform connects to 30+ data sources, automates routine reporting, and sends proactive alerts based on user-defined thresholds. It learns company-specific metric definitions with user approval to ensure consistent, trustworthy answers.
- Data & Analytics
- AI Agents
- Artificial Intelligence
- Enterprise Software
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Teams relying on static dashboards and manual analyst requests face slow, limited access to data insights. With only a small fraction of employees able to write SQL or deeply understand the data model, the majority of stakeholders are left waiting for answers to ad-hoc questions, slowing decision-making and reducing overall data adoption.
Solution
Dot provides an AI-powered data analyst that allows users to ask questions in natural language and receive instant answers, charts, and root-cause analyses. The platform connects to a wide range of data sources and collaboration tools, enabling teams to get insights directly within Slack, Microsoft Teams, email, or the Dot web app. Dot automates routine reporting, sends proactive alerts based on thresholds, and performs deep-dive analyses to uncover the root causes of metric changes. It learns and applies company-specific definitions, such as revenue excluding refunds, with user approval, ensuring consistent and trustworthy answers across the organization.
Target Audience
Primary customers are data teams and non-technical stakeholders at companies of all sizes, including those at Choco, Duolingo, and Emerge, who need fast, self-service access to data insights. The product serves both business users asking simple questions and analytics leaders requiring governance, shared metrics, and reduced reporting backlogs.
Features
- Natural language chat interface accessible via Slack, Microsoft Teams, email, and the Dot web application
- Automated root cause analysis that traces metric changes across multiple steps to identify underlying drivers
- Proactive alerts and scheduled reports delivered to preferred channels based on user-defined thresholds
- Context agent that learns and applies company-specific metric definitions with explicit user approval, ensuring alignment with the source of truth
- No-code integrations with 30+ platforms, including Snowflake, BigQuery, Redshift, Postgres, Stripe, dbt, Looker, and Tableau
- OpenAPI for custom automation and API-based access to the analyst
- Row-level security and SSO (Okta, Azure, Google) with governance features in the Team plan
- SOC 2 Type II certified and GDPR compliant with zero data retention on LLM providers