Governed Analytics
Provide natural-language access to data without losing SQL transparency, strict access controls, or auditability.
Workflow Value
When every operational question requires a data engineer to write a custom SQL query, decision-making grinds to a halt. We implement SemeLabs to empower business users with natural-language querying without breaking governance.
Generic AI tools hallucinate queries, join tables incorrectly, and bypass row-level security. Our systems utilize an explicit Semantic Layer that maps your complex database schema into predefined, verified business logic.
Every plain-English question generates an inspectable, diffable SQL query. The user sees the answer and the visualization, while the data team can instantly verify the underlying logic. Zero black-box answers.
We deploy within your VPC. The system connects to Snowflake, BigQuery, or PostgreSQL using read-only credentials. It enforces your existing Row-Level Security (RLS) policies by injecting user identity context into every generated query.
FAQ
No. We connect directly to your existing data warehouses (Snowflake, BigQuery, Postgres, etc.) using read-only credentials. Zero data movement is required.
Yes. We implement a semantic layer that maps your complex database schema into clear business definitions, allowing the AI to generate accurate queries.
Automate your document-heavy workflows securely.