Caterpillar/CoreWeave/Nvidia field-data annotation
Company: CoreWeave
The claim, verbatim
Working with Nvidia, CoreWeave and Caterpillar use AI models to annotate and label incoming construction-machine field data, cutting turnaround from weeks or months to hours, per Caterpillar's Brandon Hootman.
Source (primary)
Caterpillar and CoreWeave shorten the learning loop for physical AI - SiliconANGLE (-, news_article)
View cached copy (2026-10-07)Live source ↗Archive.org ↗
Quote: “Working with Nvidia, the partners use AI models to annotate and label incoming field data. “Now you’re taking things that were months to maybe weeks,” Hootman said. “And now you’re getting it down to hours”
How we checked this
Checked on October 9, 2026. The cited source supports every part of this claim.
The article describes the partners working with Nvidia to annotate and label incoming field data using AI models, in the context of Caterpillar's construction machines. It quotes Caterpillar's Brandon Hootman saying work that took months or weeks now takes hours.
Confirmed in the source:
- CoreWeave and Caterpillar work with Nvidia
- The partners use AI models to annotate and label incoming field data from construction machines
- Turnaround has been cut from months or weeks to hours
- This account comes from Caterpillar's Brandon Hootman
What we did: Read our cached copy of the publisher (https://siliconangle.com/2026/10/06/caterpillar-coreweave-shorten-learning-loop-physical-ai-fullyconnected/) in full (9,540 characters, retrieved October 7, 2026) and checked each assertion in the claim against it.
Additional evidence
confirms Caterpillar and CoreWeave shorten the learning loop for physical AI - SiliconANGLE
Quote: “Working with Nvidia, the partners use AI models to annotate and label incoming field data. “Now you’re taking things that were months to maybe weeks,” Hootman said. “And now you’re getting it down to hours”