AI data engineering
Your AI is only as good as the data reaching it.
We build the pipelines that make your data usable by AI.
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What we do
Ingestion
APIs, registers, spreadsheets, and scraped sources into one record.
Enrichment
Seven evidence passes per company, with source precedence written down.
Verification
Confirmed in the register that owns the claim, or marked unknown.
Retrieval
Embeddings and search that make the corpus answer questions.
How we do it
- 1
Start from the decision
The smallest pipeline that supports it.
- 2
Ingest
APIs, registers, and spreadsheets into one record.
- 3
Verify
Source precedence applied, unknowns marked.
- 4
Serve
Retrieval and views where your team works.
Our pipelines are boring, checkable, and owned by you.
Source precedence
The register beats the team page beats the press. Written down.
Unknowns stay unknown
A dash beats a guess, everywhere.
Version-controlled
Pipelines live in your repository like the rest of the code.
Costs that step
One seat carries many runs, so the bill steps instead of climbing with every record.
What you'll achieve
Data your AI can use
Retrieval, search, and agents run over a record that has already been verified.
Questions answered from source
Plain-English questions over the corpus come back with the evidence attached.
Views where the team works
The record lands in the spreadsheets, CRM, and storefront your team already uses.
Common questions
Our data is a mess. Where do we start?
With the decision you want the data to power. We work backwards from that to the smallest pipeline that supports it, rather than boiling the warehouse.
Do we need a data warehouse first?
No. Most of our pipelines run against the systems you already have and produce records where your team already works: spreadsheets, CRM, storefront.
How do you handle data quality?
Verification is a first-class stage: source precedence, independent re-checks, and unknowns marked as unknowns.
Tell us what you need built.
A 20 minute call is enough to work out whether a pod fits. The first week of work is defined on that call.