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Your agent is only as good as the context it reads.

ekai builds a verified semantic model of your business and publishes it to every agent your teams use: general purpose agents, tools and your own custom agents, as well as Snowflake, Databricks and BigQuery agents, so your agent reads definitions instead of guessing them.

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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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Why it matters

This is the $1 trillion reinvention of enterprise software implementation, and ekai is helping to disrupt it.

No more waiting on expensive systems integrators. Teams building AI-native products use ekai to go from raw data to trusted data products in hours.

ekai is the I in the AIR layers.

Enterprise AI runs on three layers: systems of action where agents work, systems of intelligence where context lives, and systems of record where data sits. ekai is the system of intelligence in between, so the context you capture once is reused by every agent you deploy.

ASystems of actionWhere your agents work

ISystems of intelligenceWhere context lives

RSystems of recordWhere your data sits

Prompts and evals can't carry your business rules.

Prompts can't hold your business rules.

Every definition you paste into a prompt is one more thing to keep in sync by hand.

Evals catch a wrong number too late.

By the time a test fails, the agent has already given someone a confident answer.

Every new domain means writing context by hand again.

Each new area of the business is another round of interviews, prompts and tests before your agent can answer.

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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