One surface
The same question in four shapes
Enterspeed Core is the AI data orchestration platform that composes your product truth, and Context Graph is the one read surface every consumer calls to reach it.
The surfaces a retailer runs ask different questions about the same catalogue. Most architectures answer each one differently: a document API for pages, a query API for listings, a search index for search, and the agent left assembling what it needs from whichever API happens to be documented. Context Graph answers all four from memory, in a single call, at the edge.
When an agent asks about entitled price or per-variant stock for a contract customer, it gets the same composed record the product page would get, entitled to that caller. When a source system is down, the page and the agent get the last known good response, so a pricing delay does not leave the product absent.
How it works
One call, from memory, at the edge
When a product record changes in your product information system, catalogue or commerce engine, Context Graph ingests the change, composes the representation and holds it in memory across every region you operate in.
When a page, a feed or an agent asks for it, the answer comes from that in-memory store rather than from live composition across five backend calls. You fetch a composed document, or you filter, sort, facet and search across the same shapes, in a single call.
Entitlement is enforced at the graph. A contract customer asking through an agent or through a portal gets the price that customer should see. When a source system is down, the surface serves the last known good response, so a delayed price feed does not make the product disappear from the page or from the agent's view of your catalogue.
300,000 to 15,000
Tokens for the same enrichment task
5x cheaper, 3x faster
Per answer
Same task, same model, same output quality. The only variable is whether the product taxonomy is assembled up front or on the hot path. Our own measurement rather than a customer result, and we can document the method if you ask for it.
The named part
The document endpoint inside it
Whole Page, One Request
It serves a composed representation in one call from an in-memory store in the region closest to the caller. A product page asking for a product does not trigger five backend calls and a wait while those answers are assembled. The composed record already exists, and the call returns it.
When a feed asks for a thousand products, it gets a thousand composed records from the same in-memory store, in one request, without a thousand separate backend compositions.
When a source system is delayed or down, it serves the last known good representation. A pricing delay does not make the product vanish from the page, and an agent asking about that product gets the previous price rather than an error.
Scope
The catalogue and the rules stay yours
Context Graph reads from your systems, composes the representation and holds it in memory.
Context Graph carries
- The composed record, held in memory in your own region
- The one call that answers a page, a feed, a search or an agent
- The entitlement check, applied as the answer is served
- The last known good response when a source is down
Your systems keep
- Your product information system and catalogue: the authoritative record
- Your commerce engine: the calculation
- Your entitlement rules: the rule engine itself
Context Graph is not a CDN and not a cache sitting in front of an API. It removes the composition, it does not hide it. When you change a product attribute or a price entitlement rule, that change reaches the graph and the next call sees it.
