Frequently Asked Questions
What makes Dot different from other AI analytics tools?
Dot is purpose-built—not bolted-on. While others layer LLMs on top of static data snapshots or require custom prompt engineering, Dot integrates natively with live databases, enforces semantic consistency, and validates every output against source truth. It’s analytics-native AI—not AI pretending to do analytics.
How do I start my free trial?
Click “Start Free Trial” and follow the guided setup: choose your workspace (Slack or Teams), connect one data source (any supported warehouse or file upload), and begin querying in under 120 seconds. No credit card required. No sales call needed.
Which data sources does Dot support out of the box?
Full native support for Snowflake, Google BigQuery, Amazon Redshift, Databricks SQL Warehouse, PostgreSQL, ClickHouse, and SQL Server. Also supports direct uploads of CSV, XLSX, and JSON files—with automatic schema inference and type detection.
Can Dot handle complex, multi-step analysis?
Absolutely. Dot supports chained reasoning: ask “What were our top 5 underperforming markets last quarter?”, then follow up with “Show me customer acquisition cost and churn rate for those same markets”—and Dot maintains context, joins datasets intelligently, and surfaces root-cause drivers—not just surface metrics.
Is my data secure and private?
Yes. Dot never stores, trains on, or shares your data. All queries execute in your environment or via encrypted, ephemeral connections. Dot complies with SOC 2 Type II, GDPR, HIPAA-ready configurations, and supports SSO, SCIM, and custom RBAC policies. Your data stays yours—always.