Field AI Seeks $2 Billion Valuation with Nvidia's Backing
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 AI Funding Brief, Robotics Brief or Daily AI Brief.
Also, consider following us on social media:
More from Funding
Oct 15 Origin Raises $20 Million for Autonomous Construction Robots Oct 15 Symbe Raises $5.7 Million for AI Sales Platform Oct 15 Cohere Agrees to Acquire AI Security Startup AISLE Oct 15 OpenAI in Early Talks to Acquire Trail of Bits Oct 15 Robots & Pencils Acquires Marketing Platform Tiger PistolMore from Robotics
Oct 16 Rareview and Tuttle Launch Humanoid Robotics ETF HOID Oct 16 Element to Manage Waymo's Toronto Fleet for 2028 Launch Oct 16 RoboParty launches open source RP1 humanoid robot Oct 16 Jodell Robotics Unveils Dexterous Hand and Tactile Sensors Oct 16 Saab Completes Sea Trials of Large Uncrewed Underwater VehicleAI Funding Brief
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 moreYou may also like
OpenAI Seeks $30 Billion at $1.4 Trillion Valuation
Rising rates strain AI data center fundraising
DeepSeek Reportedly Agrees to Lead Winverse AI Seed Round
Mind Robotics Hires Doug Field as President
Bain Says AI Needs $6 Trillion in Annual Revenue by 2031
Daily AI Brief: the AI news that matters, in your inbox.