Knowledge Company vs Atlan
A data catalog and metadata platform, with a published rubric for scoring knowledge base freshness in AI retrieval systems.
Atlan scopes freshness to the retrieval index — whether documents in the vector store are current. Knowledge Company scopes it to the claim — whether the sentence is still true, wherever it is published.
The four coordinates
Every company in this landscape can be located by four questions. Applied consistently, the apparent crowding resolves into something much narrower.
Ground truth
What fires it
What it writes to
Who buys it
What they do
Atlan is a data catalog and metadata platform. It has published a four-dimension rubric for knowledge base freshness covering content age, embedding lag, stale retrieval rate and coverage drift.
As a framework for evaluating whether an AI retrieval pipeline is current, the rubric is sound and worth reading.
How we differ
Atlan scopes freshness to the retrieval index: are the documents in the vector store current, and is the pipeline keeping up?
Knowledge Company scopes it to the claim: is the sentence still true, wherever it happens to be published? A rubric that measures whether the pipeline is fresh says nothing about whether the pricing page contradicts the help centre. Both documents can be perfectly indexed and still disagree.
Which one you want
Your question is whether your AI retrieval pipeline is ingesting current documents.
Your question is whether the statements inside those documents are still correct.
Find out what your own pages currently claim
We audit the claims you publish against a maintained record, and show you every place a fact has drifted.