Product
The Semantic Scout platform
Semantic Scout connects to your repositories, pipelines, and platforms, and builds two things continuously: lineage you can audit and meaning you can interrogate. No business data is touched — metadata only.
Data lineage
Three views, one set of facts
All three are built from the same automatically harvested metadata, so they never drift apart the way hand-maintained diagrams do.
Business lineage
Sprawling technical flows summarised into clear, auditable stories a business reader can follow. This is the view a risk officer, an auditor, or a product owner actually reads.
Technical lineage
Full-fidelity, column-level lineage across jobs, SQL, and transformations — source to report, with change history for every hop. The view an engineer trusts for impact analysis.
System-level lineage
The estate at a glance: which systems feed which, where the mainframe boundary sits, and what a migration will actually touch.
Data meaning
Metadata you can ask questions of
Understand your data
AI-generated descriptions, classifications including PII, and glossary links for every asset — reviewed and approved by your stewards, with version history behind each change.
Talk to your transformations
Ask what a pipeline, an SQL job, or a COBOL program does and get a plain-language answer grounded in the actual code. Understanding that used to require the original author — including for programs whose authors retired years ago.
Chat over COBOL is the capability a Nordic bank licensed us for — see mainframe understanding & migration.
Integrations
Language-agnostic, catalog-agnostic
Semantic Scout reads what you already have rather than asking you to move to something new.
Code & orchestration
- Git repositories
- Airflow
- dbt
- Spark
- Common SQL dialects
- Python
Mainframe
- COBOL programs
- Mainframe datasets and jobs
- Plain-language explanation
Platforms
- Major cloud warehouses
- Data lakes
- BI tools
Catalogs
- Run standalone
- Or plug into Collibra, Ab Initio, IBM, DataHub
Niche or in-house system? Ask us about your stack
Deployment & security
Packaged and deployed to fit your constraints
Plug-in
The Semantic Scout Harvester and UI running alongside the catalog and quality tools you already own.
Enterprise bundle
Catalog, quality, and lineage delivered together and pre-wired — DataHub and Great Expectations included.
Deploy self-managed, as dedicated SaaS, in your VPC, or fully on-premise — chosen by your security and data-residency needs.
- No business data is used for metadata generation — none.
- Runs against configuration, logs, and repositories through APIs, and can be isolated from production workloads.
- In-region deployment keeps metadata and logs inside your chosen geography, including full EU residency.
Two people can evaluate this in an afternoon
Bring a repository; leave with lineage. That is the fastest way to find out whether we are right about your estate.