Getdot AI

Getdot AI bases all answers on your company's data model and semantic layer, employing automated validation components to verify results. It provides full auditability showing each step of its reasoning, and offers an evaluation framework for data teams to test performance. The platform learns from your existing dbt models and BI tool definitions rather than generating arbitrary responses.

Getdot offers no-code integrations with Snowflake, BigQuery, Redshift, PostgreSQL, Microsoft Fabric, and ClickHouse for data warehouses. For semantic layers, it connects with dbt and Looker. Communication integrations include Slack and Microsoft Teams. The platform automatically adapts to your existing tech stack through API access.

One credit measures agentic compute consumption. In chat mode, Dot consumes 1 credit per successful response. For analysis tasks, it uses roughly 1 credit per minute of work. The professional plan includes 500 credits monthly with additional credits priced at approximately $1.40 each. Credits become more efficient over time as the platform improves.

Yes, Getdot can decompose metrics to identify key drivers behind changes using statistical analysis. For example, it can break down total hours into active user count multiplied by average time per user, pinpointing which component is responsible for fluctuations. The platform provides automated insights with statistical significance testing for deeper understanding.

Getdot is SOC 2 Type I and Type II certified, with annual third-party penetration testing. Data is encrypted at rest and in transit using TLS/SSL. The platform is GDPR and CCPA compliant, hosted on AWS with databases in US or Europe regions. No customer data is used for AI model training, with explicit zero-retention policies from OpenAI and Anthropic.