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Ship data products your business trusts, in hours.

ekai maps your data, captures the definitions from your experts and generates the dbt code, tests and semantic model, so each data product goes from an idea to production in hours, not months.

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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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ekai product · demo data

Data products lose trust when nobody owns the definitions.

Every new data product starts from scratch.

Each one needs its own round of discovery, interviews and modeling before anyone can use it.

The same question gets two answers.

Two teams define the same metric two ways, and nobody owns the difference.

Adoption depends on trust.

If people cannot see where a number came from, they stop using the data product.

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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