Platform
Data Engineering for AI
The data foundation that makes agents actually work.
Clean pipelines, vector stores, embeddings, lakehouses. The foundation agents need.
What we build
- Data pipelines for AI workloads (batch + streaming)
- Vector stores and embedding pipelines
- Data lakehouse architecture (Snowflake, BigQuery, Databricks)
- ETL/ELT for RAG grounding
- Data quality, lineage, and observability
Tech stack
dbtAirflowSnowflakeBigQueryPineconeWeaviateKafka
Let's scope your Data Engineering for AI project
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