Pipelines that pull it together
We build the ingestion and transformation pipelines that move data out of databases, logs, spreadsheets, and third-party tools into one consistent, queryable shape.
A division of AI Depo
Turn scattered data into intelligence you can trust.
Quarry Intelligence is the data and machine learning lane of AI Depo. We take the operational data a business already produces, spread across databases, logs, spreadsheets, and third-party tools, and turn it into trustworthy features, forecasts, and models. We build the pipelines and feature stores that feed the rest of the depot, so every agent, assistant, and integration runs on data that is clean, current, and well understood.
// pipelines · feature stores · forecasts · models
WHAT IT DOES
From raw operational data to features models can use.
Most businesses already sit on the data they need; it is just scattered, inconsistent, and hard to trust. Quarry brings it together, cleans it, and shapes it into the features, forecasts, and models that make every other AI system in the depot smarter.
Feature stores that stay current
We turn that data into versioned, documented features and serve them from a feature store, so training and live systems read the same definitions and never drift apart.
Forecasts and models to order
On top of that foundation we train forecasts and models for the questions a business actually asks, from demand and churn to scoring and ranking, and wire them into the systems that use them.
HOW IT WORKS
One pipeline, from raw source to served feature.
Quarry runs a single, observable path from scattered sources to features and models. Each stage is versioned and tested, so you can trace any number a model uses back to the data it came from.
Ingest
We map where the data lives and build pipelines that pull it in on a schedule, landing it in one place without disturbing the systems it came from.
Clean and store
We validate, deduplicate, and join the data, then turn it into versioned, documented features in a store that training and live systems share.
Train and serve
We train forecasts and models on those features and serve them back to agents, assistants, and apps, with the lineage to trace every prediction.
WHY IT MATTERS
Every AI system is only as good as the data behind it.
An agent, an assistant, or a forecast that runs on stale, inconsistent data quietly makes confident mistakes. Quarry exists so the rest of the depot does not have to guess: shared feature definitions, tested pipelines, and lineage you can follow from a model's output back to its source.
- SINGLE SOURCE Scattered databases, logs, and tools brought into one consistent, queryable shape instead of a dozen disagreeing copies.
- SHARED FEATURES Training and live systems read the same versioned, documented feature definitions, so they never quietly drift apart.
- TRACEABLE Every feature and prediction carries lineage back to the raw data and the transformation that produced it.
- FOUNDATION A data layer the depot's agents, assistants, and integrations all build on, so each one starts from trustworthy ground.
ONE LANE OF MANY
Quarry Intelligence is a division of AI Depo.
AI Depo is the depot where businesses come to get intelligent software built, integrated, deployed, and operated. Quarry is its data and machine learning lane, building the pipelines and feature stores that feed the rest. Its flagship lane is Interlink LLMOps, which wires foundation models into clients' systems, and the same depot runs agents, security, websites, and managed deployment alongside the data work.
START A PROJECT
Sitting on data you have not put to work?
From a first pipeline that brings your data together to a feature store and the forecasts and models that run on it, Quarry builds the foundation. Tell us where your data lives and we will scope it with you.