Ingestion and ETL
Batch and incremental pipelines validate source records before loading canonical tables.
CAPABILITIES / DATA AND PLATFORM ENGINEERING
Data platforms
The pipelines and stores agents read from, built so the data is trustworthy before anything reasons over it.
What this covers
Warehouse and lakehouse
Storage layout, table formats, and compute policies match the access patterns the product needs.
Streaming
Event schemas and consumer checkpoints keep real-time processing ordered, replayable, and observable.
Data quality and lineage
Tests trace critical fields from source to output and flag contract changes before downstream jobs break.
Master data cleanup
Entity resolution and ownership rules reconcile duplicate records into a maintained system of reference.
How it shows up in the work
NATIONSBuild the trusted national data and AI grid.Institutions hold data that would be worth more together, and they're right to be careful about sharing it. A grid makes sharing governed rather than informal.ENTERPRISESOne platform for a growing agent workforce.The first agent is a project. The tenth is a platform problem. Shared retrieval, model routing, monitoring, and tuning are what make the second agent take weeks instead of months.BUSINESSESOwn the platform your clients use.The portal your customers log into shapes how they experience you. Renting it means living inside someone else's roadmap and paying per seat forever.
WHERE IT FITS
Data discovery scopes the source contracts before a platform build or ongoing operating retainer.
