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.
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- Primaryhttps://www.businesswire.com/news/home/20261021782963/en/Palantir-Accelerates-Delivery-of-Sovereign-AI-to-New-Wave-of-Customers
- Alsohttps://investors.palantir.com/news-details/2026/Palantir-Accelerates-Delivery-of-Sovereign-AI-to-New-Wave-of-Customers/
- Alsohttps://www.nasdaq.com/press-release/palantir-accelerates-delivery-sovereign-ai-new-wave-customers-2026-10-21
- Alsohttps://www.tmcnet.com/usubmit/-palantir-accelerates-delivery-sovereign-ai-new-wave-customers-/2026/10/21/10467718.htm
- Alsohttps://natlawreview.com/press-releases/palantir-accelerates-delivery-sovereign-ai-new-wave-customers