Turn scattered data into shared understanding
One semantic layer for every warehouse, lake, and cloud you run — automatically discovered, humanly governed, and instantly conversational.
From scattered systems to shared meaning.
“Your data isn't scattered because you have too little of it. It's scattered because nothing agrees on what any of it means.”
Metadata lives in tribal knowledge, wiki pages, and the heads of the three people about to leave.
The same “customer_id” means five different things across Snowflake, Databricks, and the legacy Oracle box nobody wants to touch.
Every new warehouse or lake adds another dialect to a business glossary nobody actually maintains.
Analysts spend more time asking “what does this column mean?” than analyzing what it says.
AI drafts table- and column-level metadata automatically, so knowledge survives past any one person.
One governed business glossary defines every term once, enforced across every connected source.
New sources plug into the same semantic layer instantly — no new dialect, no drift.
An agentic chatbot answers those questions instantly, with lineage-aware, cited context.
How Data Becomes Business Insight
Connect
Semanta plugs into every cloud and warehouse you run — Snowflake, BigQuery, Redshift, Databricks, Postgres, SQL Server, Oracle, S3 — through secure, read-only connectors. No migration, no duplication, nothing leaves your environment.
Scan
With a single click, teams trigger a scan. Semanta crawls schemas, tables, columns, and pipelines across every connected source, safely and on your schedule.
Discover
As the scan completes, Semanta builds a live relationship graph — how tables join, where data flows, what depends on what. Our AI reads that graph and drafts table- and column-level metadata, insights, and business glossary terms automatically.
Curate
Every AI-generated definition lands in a stewardship dashboard, not a black box. Data owners visualize the graph, edit definitions, and approve what goes live — human judgment stays firmly in the loop.
Enrich
Meaning doesn't only live in schemas. Teams upload PDFs, internal docs, wikis, and blog posts, and Semanta reads those too — folding tribal knowledge into the same intelligence layer as your tables and columns.
Unify
Every discovered relationship, approved definition, and ingested document condenses into one common semantic layer — a single, governed source of meaning sitting above every disconnected system.
Converse
On top of that semantic layer runs an agentic, production-grade RAG chatbot. Ask it anything, across any connected database, and it answers with context and citations — turning scattered infrastructure into insight your business can act on.
One semantic layer. Every source of truth.
Every relationship Semanta discovers, every definition a steward approves, every document it reads — all of it condenses into a single governed semantic layer. It is the one place your business agrees on what its data means, no matter which cloud it lives in.
- Table & column-level metadata
- Business glossary & lineage
- Uploaded docs, wikis & blogs
Three pillars. One semantic layer.
Automated Discovery
Semanta scans every connected source and builds a living relationship graph — then lets AI draft table- and column-level metadata, glossary terms, and insights automatically. Nobody starts from a blank spreadsheet again.
col: cust_typ_cd VARCHAR(3)
Governed Stewardship
Every AI suggestion lands in a stewardship dashboard before it goes live. Data owners visualize the graph, edit definitions, and approve changes — so metadata stays accurate without becoming a bottleneck.
Review
Agentic Knowledge Chat
A production-grade RAG chatbot sits on top of the unified semantic layer, answering natural-language questions across every connected database with lineage-aware, cited responses.
Built to unify. Governed by design.
Every Semanta deployment ships with a stewardship loop and an audit trail — not as an afterthought, as the foundation the semantic layer sits on.
One semantic layer. Every team.
Stewardship at scale
AI drafts glossary terms and lineage instantly; stewards approve, not author from scratch.
Self-serve trusted metrics
Analysts find the right table and its true business definition in seconds, not support tickets.
Audit-ready lineage
Column-level lineage traces sensitive and regulated data end-to-end, ready for any audit.
Impact analysis before you ship
See the full downstream blast radius of a schema change before a single pipeline runs.
Ask your data anything
Leaders query insights across every warehouse conversationally — no SQL, no waiting on a ticket.
One glossary, every cloud
Snowflake, BigQuery, Databricks, Redshift — unified under a single, governed definition of truth.
Ready to deploy Semanta?
Book a working session with our team. We'll connect a source, run a live scan, and show you a generated semantic layer in the same call.
Ready to engineer
your future?
Schedule a consultation with our AI and data experts. We respond within 24 hours.