What scale have you worked at?

One engagement indexed 121 million records with sub-second search. The client is not named, but the number is public and verified. We do not publish numbers we cannot back.

Do we need a data warehouse?

Not always. Sometimes a well-modeled database is enough. We pick the smallest setup that answers your questions reliably and can grow with the data you collect.

You do. We host the pipelines and the query layer on dedicated infrastructure, but the data, the model, and the reports built on them stay yours.

Data engineering services

Build

Answers from the data you already have.

Data engineering is the work of pulling data out of the systems you already run, cleaning it, and putting it somewhere you can query and trust. It is for teams whose reporting is really a handful of exports stitched together by hand. Kief Studio builds the pipelines and the query layer and hosts them on dedicated infrastructure. One engagement indexed 121 million records with sub-second search.

What we do

List the sources, who owns each one, and how often it changes.
Build pipelines that pull, clean, and match records into one model.
Put a query layer on top so reports and search come from the same source.
Host it, watch the pipelines, and flag a source when it breaks.

Who it is for

Teams whose answers already exist in their files and systems, just not in one place anyone trusts.

When to look elsewhere

A dashboard laid over dirty exports. If the numbers underneath are wrong, a chart only makes them look official.

What we can stand behind

121 million records indexed with sub-second search.
No shared hosting. Dedicated infrastructure.
13+ year client relationships.

Data engineering: common questions

What scale have you worked at?
One engagement indexed 121 million records with sub-second search. The client is not named, but the number is public and verified. We do not publish numbers we cannot back.
Do we need a data warehouse?
Not always. Sometimes a well-modeled database is enough. We pick the smallest setup that answers your questions reliably and can grow with the data you collect.
Who owns the data?
You do. We host the pipelines and the query layer on dedicated infrastructure, but the data, the model, and the reports built on them stay yours.

Knowledge base

Read the long version

Data Engineering
Making sense of messy, real-world data at scale.
Knowledge Systems
Search that understands meaning, not just keywords. Answers grounded in your actual data.

All Build services

Knowledge systems
Search that understands the question, not just the keyword.
Custom ERP systems
One system for the work that lives in a pile of spreadsheets.
API integration
Make the tools you already pay for talk to each other.
AI automation
AI that still works at 3am, on messy input.