About
Built to be checked.
TurnToData is a company data engine. It cleans, standardizes, deduplicates, resolves, and enriches company records against a reference set built from public registries, filings, and the open web. One clean record per company, every value with its source attached.
It exists because company data is bought on trust and delivered opaque. Match rates arrive without receipts. Prices arrive after a sales call. We built the opposite: benchmarks that run live for anyone, calibration published with its sample sizes, prices printed on a page, and a wrong-entity rate treated as the number that matters.
The doctrine
False merge is the cardinal sin.
Eval is the product.
Refusal beats guessing.
Negative results get recorded.
The method page explains every number this site shows.
Status
TurnToData is built in Denver, Colorado, and is in private preview. Access is granted per engagement.
The founder
TurnToData was founded by Josh Buckman, a data architect in Denver, and is built by him and his team. He previously led the raw-data pipelines behind one of the largest business-relationship graphs in the world: hundreds of sources acquired, cleaned, deduplicated, and resolved into one master entity list. The entity resolution was built from scratch and matched against nearly every major data vendor's dataset, with public-source coverage where data could not be bought.
Then he moved to the buying side: a sales and marketing dataset carrying twenty years of accumulated problems. The options were to fix it in-house, which most teams have neither the time nor the specialists for, or to pay six figures for provider access and still fight for every match. The pitch decks promised match rates. The invoices arrived either way. He built the engine he kept wishing someone would sell him. It runs its evaluation live, in public, for anyone to check.