Field AI Seeks $2 Billion Valuation with Nvidia's Backing

Feb 19, 2025
Field AI, a robotics startup supported by Nvidia, is in talks to raise several hundred million dollars at a $2 billion valuation, marking a significant increase from last year's $500 million valuation.
Field AI Seeks $2 Billion Valuation with Nvidia's Backing
Image: Field AI

Field AI, a robotics startup backed by Nvidia, is reportedly in discussions to raise several hundred million dollars at a $2 billion valuation, according to The Information. This marks a substantial increase from last summer when the company was valued at $500 million.

Based in California, Field AI specializes in developing artificial intelligence models that enhance robotic performance across various industries, including construction and oil and gas. The company is already generating revenue by selling access to its AI-powered software, which integrates with robots from companies like Boston Dynamics and Unitree Robotics.

Field AI is working on a multimodal large AI model that incorporates text, images, voice, and lidar sensor data to advance robotic autonomy. The startup's previous investors include Khosla Ventures and Temasek, though the potential investors for this new funding round remain undisclosed.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Robotics Brief, AI Funding Brief or Daily AI Brief.

Also, consider following us on social media:

AI & Robotics AI Funding News AI Brief AI Brief (X)
Free newsletter

AI Funding Brief

AI Token Webinar

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more

You may also like

Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.