We’ve implemented data products across pharma, healthcare, engineering, and digital platforms — where lineage, access, and trust are non-negotiable.
You get more than one-off builds. We enable scalable models for product handoffs, ownership transitions, and continuous improvement.
We build for AI and analytics from the start — with structured formats, prompt readiness, and downstream observability built into every product.
Whether you're on Snowflake, BigQuery, or Databricks — we slot into your infra and tools, and design for your actual domains and use cases.
No. We help implement data product models in centralized, hybrid, or federated setups — starting with clear definitions and usage contracts.
We build products with prompt formatting, filtering, tagging, and lineage — enabling safe and traceable use in RAG pipelines and training datasets.
We work across Snowflake, BigQuery, Databricks, DataHub, Alation, dbt, and more — using open standards and governance tooling.
Yes. We help identify domains, design metrics and contracts, and deliver product artifacts with documentation, logging, and access control.
With a $0 Data Product Strategy Session — to map use cases, current maturity, and define the right path forward.
