A conversational interface for your data warehouse. Business users ask questions in plain English. The agent writes the SQL, executes the query, and generates visualized reports.
"I have petabytes of data, but I need an SQL expert to answer a simple question. Business users are blocked; data teams are burned out."
— Every enterprise data leader, ever
The agent doesn't just translate—it thinks like an analyst.
No SQL required. Users ask questions the way they'd ask a colleague. "What were our top 5 products last month?" The agent understands context, handles ambiguity, and asks clarifying questions when needed.
The agent writes optimized SQL for your specific data warehouse—BigQuery, Snowflake, Redshift. It understands your schema, respects your naming conventions, and handles complex joins automatically.
Every query is executed with read-only permissions. Results are validated, visualized, and explained in business terms. No raw data dumps—just the insights that matter.
Translates business questions into complex SQL queries across your data warehouse and transactional databases.
Generates charts, graphs, and dashboards automatically based on the data returned and the question asked.
Maintains context across questions. "Now break that down by region" works exactly as you'd expect.
Creates formatted reports with insights, trends, and recommendations ready for stakeholder review.
Writes efficient queries that respect your warehouse's performance characteristics and cost constraints.
Proactively surfaces unusual patterns in your data—spikes, drops, and trends worth investigating.
Deploy on your infrastructure, query your warehouses.
Your data never leaves your infrastructure.
The agent operates with read-only permissions. It can query your data but never modify it.
Loom Sentinel automatically redacts sensitive data before it reaches the LLM. No PII exposure, ever.
Every query, every result, every user interaction is logged and auditable for compliance.
The Data Analyst Agent is production-ready. See it running on your data in a 30-minute demo.