Back Back
PalantirAdoption2026-10-23

McCarthy Saves 30,000 Hours a Year With a Post-Trained Nvidia Model

Palantir's 21 Oct 2026 release says McCarthy Building Companies uses Foundry, AIP and Ontology. For subcontract drafting, a post-trained Nvidia Nemotron model running on Nvidia compute turned high-level statements of work into Exhibit 1 contract language, delivered better performance than frontier models at significantly lower cost, and saves 30,000 hours a year. Rico Bertucci, vice president of strategic initiatives, said McCarthy built this model on 160 years of McCarthy experience. Separately, McCarthy fine-tuned Nemotron 3 Nano 4B on labeled RFI data and trained on more than 100,000 production RFIs to flag cost and schedule impact. A score chart seen outside the release is not used: the release does not state those percentages or token prices.

FREE · NO CARD

Liked this fact? Get six like it free every weekday — including Palantir.

The Daily Receipts, before the US open. Each figure traces to its filing. The Weekly Brief every Saturday. Free.

Sign up free

Free · No card · Unsubscribe anytime

See today's issue →
McCarthy Saves 30,000 Hours a Year With a Post-Trained Nvidia Model — X · LinkedIn

Get an alert the next time there's a new Palantir fact.

Star Palantir on the screener. Every new fact about it leads your next Daily Receipts, with how the stock closed.

Get Insider