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Semantic search

Type the business question and find the data, even when the physical column name and the business meaning sit far apart. Every result carries trust signals for certification state, owner, and evidence freshness, so you know whether to rely on what you found before you open it.

What you get01 / 03
01

Meaning-based search resolves your query through the glossary and knowledge graph, so a search for 'customer attrition' finds the churn flag whatever the column is called.

02

Every result shows trust signals for certification, ownership, and freshness, all derived from evidence and never hand-set.

03

Ranking favors certified, owned, and fresh assets, so the governed source rises to the top ahead of duplicates.

04

Filters cover what practitioners actually work with: system, domain, owner, certification tier, glossary term, and sensitivity.

05

One graph sits behind everything: from any result you step straight into lineage, quality history, and open issues, because all ten products share the same governed knowledge graph.

06

Gaps are shown honestly: a result missing an owner or a recent scan says so right in the result, because absence is treated as failure.

How it works02 / 03
1

Ask

Put the question in plain business language.

2

Resolve

The query resolves through glossary terms and graph relationships rather than raw column names alone.

3

Rank

Evidence-derived trust signals order the results; nothing is boosted by hand.

4

Act

Open the asset's lineage, owner, and definition, or route a question to its steward without leaving the result.

Questions it answers03 / 03

“Which table should I actually use for customer balances?”

Search for it in plain business language and the ranking does the work: certified, owned, and fresh assets rise to the top, so the governed source appears first. The trust signals on each result tell you exactly why it ranks where it does.

“Is this the certified source, or an uncertified duplicate?”

Every result carries its certification state, owner, and evidence freshness, all derived from evidence rather than set by hand. If the asset is missing an owner or a recent scan, the result says so directly.

“Who do I ask before I build on this field?”

The owner and steward appear right on the result, and you can route a question to the steward without leaving it. You also step straight into lineage and the definition from the same place, so the context arrives with the contact.

The next step

Start with proof, not a promise.

There are three ways in, and each one earns the next. You approve the exit criteria before we spend any more of your time or budget.

01

A 60-minute working session

Bring one report that is expensive to prove. We walk the mechanism against it. Nothing is required from your side.

02

A two-week guided sandbox

Your team works hands-on against a synthetic sample bank. It requires zero access to your systems and zero procurement.

03

A six-week proof on your systems

We use read-only metadata across five systems and one priority report, scored against criteria both sides sign first. The decision it produces is yours.