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You own the data. Does anything own the definitions inside it?

ekai makes context engineering automated and self-service, so accuracy and speed stop being a trade-off.

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

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

Trust in the numbers breaks down at the definitions.

It sounds confident, and nobody can say where the figure came from.

Writing down what your data means has always been slow, manual work.

One wrong number in front of leadership costs trust in every number after it.

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

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