We built the refinery the data industry was missing.
Everyone sells raw data or dashboards. Foundation models sell reasoning. Nobody was selling the pre-computed, explainable answer in between — so we built the company that does.
Operators, not a founder story
Alpine DataWorks was started by a group of operators with deep, hands-on knowledge of the data industry — 25+ years of working inside it, building the pipelines, buying the feeds, and rebuilding the same analysis over and over.
We kept seeing the same gap from every angle: the market is flooded with raw data and dashboards, and increasingly with models that reason from scratch — but nobody sells the intelligent, pre-computed answer a decision-maker or an agent actually needs. So we came together to manufacture it, and to close that gap for good.
This is a collective effort — credibility through experience, not a biography. We let the work, the validation, and the schema speak.
New categories of intelligent data
We don't sell per-field data. We manufacture named, pre-computed intelligence objects — each a category we invented — and deliver the answer with its reasoning attached: a score, its drivers, a confidence level, a freshness timestamp, and a machine-readable schema.
The principles the work is held to
Validation over claims
No metric is sellable until it beats a naive baseline on real data. If it does not earn its keep, it does not ship.
Drivers, not black boxes
Every answer arrives with its reasoning attached — the factors that moved it, and how much. Explainability is the product.
Built on public data
We refine free public sources — FRED, Census, NOAA, CDC, BLS, BEA — with transparent provenance. No scraped, no grey-market data.
Agent-native
Typed, versioned, and discoverable. Every object is something a machine can find, call, and trust without a human in the loop.
Agents finally demand the answer
AI agents don't want a spreadsheet to parse or a model to rebuild. They want a pre-computed, explainable answer they can call — and trust — in a single request.
That is the object between raw data and reasoning. The market is finally ready for it, and the refinery is running.