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Governed semantic models on every warehouse your teams use.

ekai profiles your warehouses in place and captures business definitions from your experts. It publishes governed semantic models to every agent your teams use: general purpose agents, tools and your own custom agents, as well as Snowflake, Databricks and BigQuery agents, with the dbt project versioned in your own Git.

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Semantics › Sales and revenueOwner: FN

Model DetailsBusiness RequirementsAI ModelingData TransformationCode Sync

EXPLORERBusiness Requirements 6Schema NotesDBML SubsetConversation LogsBRD ReviewTechnical DocumentBusiness Requirements Document

Business Requirements Document

Executive SummaryNet revenue for the finance team, by region and quarter.

Business ContextBusiness Glossary · KPIs & Metrics · Consumer & Decision Context

Business RulesRevenue is reported by region and fiscal quarter.

Unresolved GapsGross or net AMOUNT, asked of Finance.

Business Requirements agentasking

Is `AMOUNT` gross, or net of tax and discount?

1Gross, before tax and discount. Matches the invoice total.

2Net of tax and discount, which matches the finance ledger.

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The rules you design rarely reach your agents.

Definitions live in too many places.

Business rules sit in dashboards, SQL and people's heads, so every platform ends up with its own version.

Agents bypass the architecture.

New agents read raw tables directly, so the rules you designed never reach them.

The reasoning lives in people's heads.

When an expert moves on, the logic behind a definition goes with them.

Customer result6 hours, $56

Secunetics built its production dbt pipeline with ekai in 6 hours for $56, against 96+ hours and about $26,400 by hand.

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Raw rows stay in your warehouse

Discovery reads your tables in place. ekai's SOC 2 Type II audit found zero exceptions.

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