Natural language data analytics
Let non-technical users query your data warehouse in plain English with trusted SQL.
A text-to-SQL layer over your data warehouse (Snowflake, BigQuery, Postgres) with guardrails: typed schema grounding, query validation, cost limits, and visualization. Users get answers without writing SQL or waiting for the analytics team.
- How do we prevent wrong-but-plausible SQL results?
- How do we handle complex joins and business logic?
- What permissions model matches our data governance?
- How do we explain the result, not just render it?
- 100+ analysts or ops users
- Clean data warehouse
- Regular ad-hoc query volume
What shipping this looks like.
The typical tools for this use case.
Every engagement picks the right tool for your context — these are defaults, not prescriptions.
Services that deliver this use case.
More use cases.
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Thinking about natural language data analytics?
Book a 30-minute scoping call. We'll tell you what shipping this looks like for your context.