1. Which databases does SenseQL support?
SenseQL is database-agnostic. It integrates seamlessly with PostgreSQL, MySQL, BigQuery, and other modern warehouses. Support for Snowflake and Redshift is on the roadmap.

2. How does SenseQL generate queries?
Powered by Gemini 2.5 Flash and fine-tuned on schema contexts, SenseQL analyzes metadata, relationships, and business definitions to generate optimized, accurate queries.

3. Can engineers customize the data models?
Yes. Engineers can define relationships, upload schema documentation, or let SenseQL’s AI infer models automatically.

4. How secure is SenseQL?
Queries run directly against your connected database with RBAC, encryption, and enterprise-grade governance. No raw data leaves your environment.

5. Can non-technical teams use SenseQL?
Absolutely. Business users can ask plain-language questions, create dashboards, and generate visual analytics, no technical expertise required.

6. Does SenseQL support data visualization?
Yes. Query results can instantly become charts, dashboards, and interactive reports that are shareable and decision-ready.

7. How is SenseQL different from BI tools?
Traditional BI tools visualize data after manual preparation. SenseQL is AI-engineered from the ground up; it unifies data modeling, analytics, and visualization, making it faster, more accurate, and accessible across the business.