Solutions
We take on the full stack of a data product: sourcing and cleaning the data, modeling it, and shipping the experience that makes it useful. Sports is our proving ground. The methods apply anywhere data is fragmented and decisions are hard.
What we deliver
Most engagements combine two or more of these. Each one is something we run in production on our own platforms.
Public or private products that turn a stream of raw records into rankings, dashboards, and pages people search for.
Ingestion from fragmented sources, with the identity resolution and validation needed to make the result trustworthy.
Rating systems and probability models that are explainable to experts and useful to everyone else.
Large language models applied where they add leverage: extraction, matching, summarization, and content operations.
How we engage
We map your data sources, users, and the decisions the product must support.
A working slice on real data within weeks, so the model and the product can be judged early.
Production engineering: pipelines, models, interfaces, and the observability to run them.
We can run the platform for you, or hand it over with documentation and training.
Technology
We standardize on a small set of proven tools so we can spend our effort on the data and the product, not the plumbing.
A short conversation is usually enough to know whether we are the right team. No pitch decks required.