Euclid scans your databases, proposes governed semantic views, answers questions with verified queries first, and audits every response. No black-box analytics. Every answer is traceable, rated, and improvable.
The difference: Euclid does not just generate SQL. It matches questions to verified, human-curated query-SQL pairs first. When no verified match exists, it generates SQL from governed semantic models and attaches a trust score so you know how confident the answer is.
Four steps from raw data to answers your team trusts
Connect Snowflake or PostgreSQL and run a discovery scan. AI profiles every table, infers fact vs. dimension, detects time columns and measures, and proposes semantic models and metrics automatically.
Review proposed models. Assign governance status (draft, review, approved). Add owners and governed schemas. Curate verified queries: question-SQL pairs that Euclid uses first so critical business questions always get curated answers.
Ask anything in plain language. Euclid checks verified queries first. If there is an exact or near match, the curated SQL runs. Otherwise, it generates SQL from governed semantic views and flags the answer for review. Every response includes the agent used, the SQL executed, and whether it came from a verified query.
Every answer gets a trust score with a five-part confidence breakdown (data quality, query correctness, business logic, freshness, coverage). Users rate answers accurate or inaccurate. Track trends over time. Turn frequently-asked questions into new verified queries to close the loop.
Everything you need to go from raw data to trusted AI answers
Scan Snowflake and PostgreSQL. AI profiles tables, infers types, detects time columns and measures, and proposes semantic models in one flow.
Lifecycle from draft to approved to deprecated. Assign owners and governed schemas so only curated logic powers AI agents.
Curate question-SQL pairs per semantic view. Euclid uses these first so answers are grounded in approved, human-reviewed logic.
Ask questions in plain language. Agents run verified queries when they match, then fall back to generated SQL with full audit trail.
Query logs, trust scores, and feedback on every answer. See which answers came from verified vs. generated SQL and improve over time.
Restrict data sources by role. HR data for admins only, finance for leadership. Semantic views and agents respect tenant and access rules.
Define dimensions and measures. Attach agents to semantic views so Euclid answers from the right context with the right definitions.
Rate answers accurate or inaccurate. Use audit insights to add new verified queries so the next time someone asks, they get a curated answer.
Runs in your Snowflake environment. Create semantic views, Cortex agents, and aggregate tables in your own data cloud.
Euclid fits analytics, finance, operations, support, and governance use cases
Govern metrics and semantic models so self-serve questions return consistent, approved definitions every time.
Lock revenue and pipeline logic in verified queries. Euclid answers from curated SQL so finance numbers are always authoritative.
Semantic views over inventory and orders. Ask in natural language and track trust scores on every operational answer.
Let support teams ask product and usage questions. Add verified queries from real tickets to improve accuracy over time.
Restrict sensitive data sources by role. Full audit trail of who asked what and which logic was used for every answer.
Trend and cohort questions with verified definitions. Use audit insights to add curated answers as your questions evolve.
Start with a discovery scan, govern your semantic views, and let Euclid answer questions your team can trust.