Runix Pipeline · In development

Data a model can
actually use

The unglamorous half of every AI project: getting raw, duplicated, half-structured source material into something a model reads without choking. Built as a managed pipeline, delivered with a quality report.

Become a design partner Read how we think about it
Status: in development. Runix Pipeline is being built alongside a small number of design partners, and is scoped per engagement rather than sold as a self-serve product. If the stages below match a problem you have now, that is exactly the conversation we want.

Five stages, each one auditable

Every stage produces something you can inspect, so a bad answer downstream can be traced to the record that caused it.

Ingest

Documents, exports, databases and APIs, with the parsing trade-offs written down rather than hidden in a script.

Clean & dedupe

Format normalisation, noise removal, and deduplication at exact, near and semantic levels — with counts you can check.

Structure

LLM-assisted extraction into a schema you define, validated on the way out so malformed records fail loudly.

Mask

Personal data identified and masked before it reaches a model or a training set, failing closed when detection is uncertain.

Report

A quality report per delivery: coverage, duplication rates, extraction confidence, and what was dropped and why.

Deliver

Files, a database, or an endpoint — batch or continuous, whichever your downstream actually consumes.

Why it is a service, not a SaaS

Nobody's data is generic

Cleaning pipelines fail on the specifics: the one export with a broken encoding, the near-duplicates that are not duplicates, the field that means two different things in two systems. We scope those with you rather than pretending a wizard handles them.

That is also why it is priced per project or volume rather than per seat — you are buying the judgement calls, not a dashboard.

What an engagement looks like
Starts withA sample of your real dataNot a questionnaire
You get backA scoped planStages, trade-offs, and what we will not attempt
DeliveryBatch or continuousFiles, database, or endpoint
Every deliveryShips with a quality reportIncluding what was dropped and why
PricingPer project or volumeQuoted before work starts

Have a pile of data and a deadline?

Send a sample and what you need out of it. You get a scoped plan back, including the parts we think are not worth doing.

Become a design partner