Data & Pipeline Engineering.

Get your data AI-ready

4-8 weeksInfrastructure build

The engagement

Grunion cleans the inputs, wires the movement layer, and makes the retrieval or training data dependable before the product work scales into a debugging mess.

This fits teams whose AI idea is sound but whose data layer still makes every prototype brittle, slow, or hard to trust.

Deliverables

  • Data pipeline architecture
  • Vector database and RAG setup
  • ETL and data quality systems

Related work

In development

Redoubt

Grunion is building an MCP layer that lets human and AI operators stand up, heal, and secure cross-enterprise integrations from one control plane.

Build the next step.