See Timbr in Action: Power Accurate NL2SQL with Your Data
Book a personalized demo to see how Timbr’s semantic layer helps LLMs generate correct SQL.
No hallucinations, no guesswork.
Facing These NL2SQL Challenges?
- Hallucinated or broken queries – LLMs often produce invalid or inefficient SQL that doesn’t work on your schema.
- To many JOINs and UNIONs – Models don’t know how your tables connect, so joins and filters are wrong.
- Disconnected from business meaning – Without access to your semantic layer, LLMs misunderstand your metrics.
- Too much manual cleanup – Analysts waste time rewriting AI-generated queries just to make them usable.
- Not safe for production – Without structure or guardrails, NL2SQL outputs are too risky to trust in live systems.
Why Leading Data Teams Choose Timbr
- Semantic Understanding Built In – LLMs query Timbr’s ontology, not raw tables, so queries match your business logic.
- Structured Graph Context – Relationships between tables, metrics, and entities are already mapped in SQL-native form.
- Cleaner SQL, Fewer Errors – Timbr transforms natural language into production-ready SQL without guesswork.
- Ask Anything in Natural Language – Empower analysts and business users with fast, self-serve answers.
- Works With Your Stack – Timbr connects directly to Snowflake, Databricks, BigQuery and more.
What You’ll Explore in Your Free POC
- How to connect your data warehouse and activate your semantic layer
- How to define relationships and metrics with zero code
- How Timbr translates natural language into SQL
- How to safely govern what users can ask and see
- How to avoid hallucinated, broken, or untrusted queries
TRUSTED BY DATA TEAMS AT LEADING ENTERPRISES
