Service
Data Foundations
A governed lakehouse and source graph foundation for analytics, retrieval, and production agents.
What it includes
We design the data substrate beneath the AI system: lakehouse storage, ingestion contracts, lineage, quality checks, retrieval-ready indexes, and access boundaries.
- Lakehouse and warehouse architecture
- Streaming and batch ingestion contracts
- Lineage, ownership, and quality gates
- Retrieval-ready chunks and permissions
Where it pays off
This service turns scattered operational systems into a substrate agents can trust, search, cite, and improve from.
Related learning
Source Graph
The owned map of systems, schemas, documents, permissions, events, and business meaning that agents use to act safely.
Data Quality
Contracts, validation, lineage, freshness, and ownership for data that agents can safely use.
Vector Search
Retrieval pipelines that combine chunking, embeddings, metadata, reranking, permissions, and evaluation.