03 — Data
Data platforms
Without trustworthy data, intelligence is confidence in noise.
We build data platforms enterprises actually use: ingestion, modelling, metric definitions, real-time pipelines, access and lineage. The point is one version of the truth for reports, algorithms and agents.
For cross-border and regulated settings, classification, residency and access audit are designed in. Features and metrics become interfaces an agent can call — not a note in an analyst’s notebook.
In practice
Lakehouse and pipelines
Batch and streaming. Business systems, logs and external feeds become replayable pipelines.
Metrics and features
One set of definitions. A feature layer models and agents both reuse.
Data as product
Who can see it, for how long, who owns a failure — interfaces, SLAs and owners.