Point us at raw data you don't yet understand. Get profiling, quality contracts, pipeline blueprints, dimensional models, lineage, and evidence packs—backed by runs, versioning, and change control.
Build and ship pipelines faster with generated DDL, automated reconciliation, and full medallion orchestration.
See how agentic data foundations transformed delivery for a global enterprise.
We rebuilt the data foundations powering their BI platform — standing up an incremental ETL pattern with change data capture, an affected-keys pattern for efficient downstream propagation, and embedded dashboard consumption via QuickSight.
Pipeline run times and compute spend came down materially. The analytical layer moved from batch-lag reporting to near real-time consumption.
Event-driven capture landing into an immutable raw zone, agentic quality and modelling agents at each medallion transition, and a confidence-scored conformed layer feeding consumption tools.
Directly transferable to any enterprise running perishable, operationally critical data at scale — airline reservations, operations, and commercial estates.
Four integrated modules that take you from raw, unfamiliar data to governed, analytics-ready assets — with full auditability at every step.
Connect to S3, Databricks, Snowflake, or upload directly. Data lands in an immutable raw zone with full version tracking and schema inference.
We sit above your infrastructure — connect to the warehouses, catalogs, and repos you already use.
Direct upload via UI
Connect to S3 buckets
Built on Supabase
Sync with repos
Import dbt models
Native connector
Unity integration
AWS metadata
Every run produces real deliverables — artefacts your team can review, approve, and deploy.
Data dictionary + DQ rule packs for every source
Land/Stage/Persist design outputs with DDL
Conceptual → Logical → Physical with ERDs
Source-to-target flow documentation
Translated SQL + test plan for migrations
Zipped artefacts for delivery sign-off
Every run produces real deliverables—not dashboards, not reports. Artefacts your team can review, approve, and ship.
Data dictionary + DQ rule packs for every source
Land/Stage/Persist design outputs with DDL
Conceptual → Logical → Physical with ERDs
Source-to-target flow documentation
Translated SQL + test plan for migrations
Zipped artefacts for delivery sign-off
Five steps from unfamiliar data to shipped artefacts. Each step generates outputs you can use immediately.
Turn unfamiliar data into governed, analytics-ready assets. Start with a single project and see the difference observable delivery makes.