The intelligence layer for connected retail operations.
Ekyam translates the systems you already run into one governed operating model for analytics, agents and workflows.
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Make the agents you already
run 40% cheaper on LLM costs.
Ekyam gives existing agents validated retail context and reusable tools to reduce unnecessary LLM processing, without requiring you to replace the agents or models you already use.
Keep your existing agents
Extend agents running on Claude, OpenAI and other models rather than starting over.
Reduce LLM processing
Give agents concise, reconciled business information instead of repeatedly processing raw system data.
Lower the cost per task
Use prebuilt tools to perform established business logic outside the LLM.
Translate system-specific data into shared operating meaning.
Connect.
Objects, events, custom fields and workflows.
Translate.
Local terms become common retail definitions.
Resolve.
Records across systems, brands and banners become one entity.
Relate.
Products, orders, inventory, suppliers and locations connect.
Chronicle.
Every change, prior state and decision is preserved as queryable history.
Govern.
Recommendations move through explicit controls.
Connector depth,
not connector count.
The connector understands the business logic inside the application, not just its standard objects.
Enterprise ERP
Commerce
OMS + WMS
Live Agent Query
Multi-brand ResolutionMore than a semantic layer, graph database or iPaaS.
Ekyam connects shared meaning to operational context: a retail-specific model of entities, relationships, reconciliation, and provenance. Usable across analytics, agents, and workflows.
We focus on time to value.
0 DaysWeeks8 - 12 weeks
Connect your first system
Universal connector ingests objects, events, custom fields and business logic from ERP, commerce or WMS.
See cross-system insight
Translation layer resolves entities across systems. Teams query the graph in natural language and get traceable answers.
Full knowledge graph live with one use case delivered
An initial scope of three to four systems normalized into one governed operating model. Agents, dashboards and workflows run against production data; additional systems and banners extend the same foundation.
