The semantic layer
that maintains itself.

Shanc is an AI context builder for product, analyst, and business teams. It automatically creates and maintains a semantic layer — so your Claude works better, faster, and cheaper. Every time something changes, Shanc updates the layer.

1. 01Documentation is missing or out of date. In 77% of organisations, data quality issues go unresolved — and lack of documentation is the most-cited reason. Getting context means tracking down the person who wrote the code, every time.

2. 02Every commit is a liability. The average developer makes 4 commits a day — each one can change your database. Someone has to update the semantic layer.

3. 03Feeding Claude context is expensive and repetitive. Enterprise AI queries consume millions of tokens just loading schema definitions and lineage before any reasoning begins. Without a governed context layer, you're paying that cost on every session.

4. 04Insights live in silos. When one analyst figures something out, the rest of the team can't see it or build on it. You end up paying for the same work twice.

5. 05Nobody trusts the output. Every SQL query and data pull still gets manually reviewed because there's no validation layer. 85% of companies cite stale data as a direct cause of bad decisions and lost revenue.

How Shanc works.

Connect your data and get a working layer in minutes.

Why choose Shanc.

Every alternative has a serious catch.

Shanc is the only solution that stays up-to-date automatically, validates outputs, and works across your whole team.

Cases.

Used by data teams across fintech, retail, and beyond.

Try Shanc.