Enrich your CRM by entity, not by text match.
String-matching enrichment forks duplicates and loses hierarchy. GraphIQ.ai resolves every record to a real entity, then keeps it attached to its corporate family and live signals — so your CRM reflects reality, not a fuzzy guess.
Bad enrichment isn't missing data — it's the wrong record, confidently filled in.
Text-match enrichment — fuzzy name lookups that fork duplicate accounts and drop the parent company entirely.
Entity-resolved enrichment — every record mapped to one canonical entity, with its hierarchy and signals kept intact.
From messy records to a clean graph.
Resolve every record
Map each CRM account to its canonical entity in the graph.
De-duplicate
Collapse forked records into one entity, each with a confidence score.
Attach the graph
Add corporate hierarchy, people, and live signals to every record.
Keep it fresh
Re-resolve continuously as the graph updates — no stale fields.
What it unlocks
Frequently asked questions
How is this different from normal enrichment?
Standard tools match on strings and append fields; GraphIQ.ai first resolves each record to a unique entity, so the data attaches to the right account — and its hierarchy — instead of a near-match.
Will it create duplicates?
The opposite. Entity resolution collapses existing duplicate records into a single canonical entity, each with a confidence score you can audit.
Which CRMs are supported?
Any CRM you can reach by API or through Clay. GraphIQ.ai returns resolved entities and fields you write back to your records.