FieldAI

Join us at the 2026 Intermodal Expo in Long Beach, September 14–16. Visit FieldAI at Booth #1729 to learn how autonomous robots can support inspection, monitoring, site intelligence, and other critical operations across complex intermodal environments.

We've had a pretty good secret for a while now. Lionel Messi and Play Time Ventures are investors in FieldAI! He masters the pitch; we build the universal AI "brain" that lets general-purpose robots operate in the world's most complex, unstructured terrain. Best of luck to Leo & Argentina in the FIFA World Cup Final this Sunday! 🇦🇷🏆 🔗 fieldai.com #FieldAI #PlayTimeVentures #EmbodiedAI #WorldCup

Keynote Announcement🎙️ Autonomy in the Wild. A keynote feature from Shayegan Omidshafiei of @fieldai_. 🗓️ San Francisco, July 16th 📌 The Midway 🎟️ autonomousfuture.co Field AI builds Field Foundation Models, an embodiment-agnostic autonomy brain that runs on almost any robot body and operates in unstructured, GPS-denied places with no prior map. This keynote closes the day on the Frontier Stage. A behemoth in its own right with roughly $400m from backers, including Bezos Expeditions and Khosla Ventures, who will also be at #AUTONOMOUS2026.

🤖 @Innovo_Group is partnering with California-based @fieldai_ to deploy AI-powered robots across UAE construction sites — the first of its kind in the region. The robots use real-time progress monitoring, environment mapping and data collection. uaeinusa.co/4eUM1XW

FieldAI is partnering with @MCLGroupPLC to deploy robots at scale across UK construction sites. As one of the UK’s leading contractors with work across commercial, residential, logistics, data centers, healthcare, education, and public-sector projects, McLaren is a strong partner for bringing Physical AI into one of the world’s most demanding construction markets. The deployment begins with 360° site imagery, point cloud generation, progress verification, model-to-site deviation analysis, safety compliance patrols, and quality assurance. Read More: mclarengroup.com/news/mclaren-c… youtube.com/watch?v=HeaRtw…

Just in: @fieldai_ surpasses $100 million in revenue and customer contracts, less than three years since founding. Its general-purpose robotic intelligence is now being deployed by more than 30 customers across Europe, Asia, and North America, operating across construction, mining, energy, data centers, and more.

“FieldAI has a growing advantage because its robots are already deployed and collecting data from doing real work” Love working with Ali Agha, Shayegan Omidshafiei, David Fan and rest of team @fieldai_!! cc @khoslaventures businessinsider.com/robot-startup-…

FieldAI received the Smart Robotics Innovation Award from the @AI_Breakthrough Awards. We’re grateful for the recognition, and even more grateful to the field teams, customers, and partners doing the hard work every day across active construction sites, industrial facilities, energy operations, and infrastructure projects. Awards are meaningful, but the work in the field is what matters most. aibreakthroughawards.com/2026-award-win…

Proud to partner with @Innovo_Group to deploy FieldAI robots across construction sites in the Middle East, beginning at Ghaf Woods in Dubai. FieldAI robots are supporting progress monitoring, documentation, mapping, and data collection on large-scale construction projects where teams operate through demanding climate conditions and constantly changing site conditions. youtube.com/watch?v=68gEyV…

@fieldai_ built its intelligence layer physics first. It's one of the only robotics companies to do so efficiently. We're delighted to have Shayegan Omidshafiei from FieldAI join us at AUTONOMOUS. Shayegan is President and Chief Scientist of FieldAI, where he leads the development of Field Foundation Models, an autonomy layer that lets robots operate in unstructured, GPS-denied environments without maps or prior training. → Spent over five years as a research scientist at Google and DeepMind, co-leading major work on deep reinforcement learning and multi-agent decision-making → PhD and SM from MIT in robotics and autonomous systems → FieldAI partners with Boston Dynamics and was named to Fast Company's Top 10 Most Innovative AI Companies of 2026, alongside Google and Anthropic Join Shayegan, 50 curated speakers and 500 attendees in San Francisco, July 16th for our premier event. Tickets are on their final tier → autonomousfuture.co

Dr. Sebastian Scherer has been advancing field robotics since the first DARPA Grand Challenge in 2004. Today, he serves as Director of Safe Embodied AI at FieldAI and leads the AirLab at @CarnegieMellon University Robotics Institute. In this video, Sebastian explains why the hardest problems in robotics are not solved in controlled environments, but in the field, where conditions are uncertain, unstructured, and constantly changing. From active perception to uncertainty-aware decision making, he shares how FieldAI is building robots that can gather information, understand risk, and keep working when the environment does not cooperate. youtube.com/watch?v=hSmj7_…

@BusinessInsider reported on FieldAI’s $100 million commercial milestone and the unique architecture-first approach behind it. As we've moved beyond demonstrations and into the field, with production deployments continuing to scale across the globe, the responsibility grows with it. Enterprise customers require robots that work safely around people, operate reliably in unpredictable environments, and provide transparency into how decisions are made. The novel architecture of Field Foundation Models enables FieldAI to meet customer requirements for safety, reliability, and explainability today, and to set the standard for responsible physical AI moving forward. As @KanuGulati of @khoslaventures put it, “FieldAI has a growing advantage because its robots are already deployed and collecting data from doing real work.” READ MORE: businessinsider.com/robot-startup-…

@Robotcom announced it is working with @fieldai_ to bring general-purpose robot intelligence to R-noid, its humanoid robot, using Field Foundation Models as the autonomy brain. FieldAI’s Field Foundation Models serve as an operational AI layer that generalizes across robots and environments and serves three roles for R-noid: enabling safe and reliable operations in dynamic, real-world spaces without prior information or supporting infrastructure; preventing model hallucinations through physics-grounded AI models; and coordinating multiple robots working together. R-noid is purpose-built for repetitive, multi-shift, and hard-to-staff jobs across industries including logistics, healthcare, food service, lodging, and more.

FieldAI is heading to Chicago for the Humanoid Robot Forum at the @AutomateShow this week. Founder & CEO Dr. Ali Agha will take the stage for "From Factory Floors to the Field: How Risk-Aware AI Enables Autonomy Anywhere", a session on what it takes to move robots beyond controlled environments and into real-world deployment. 📍 Humanoid Robot Forum 📍 Grand Ballroom S100 🗓️ June 24, 2026 🕜 1:35 PM Ali will also join The Automated Podcast: Live on Stage with @bheater at the Automate Show Theater on Thursday at 10:30 AM. See you in Chicago. Learn More: automateshow.com

This is what a Wednesday looks like for FieldAI. A robot on a live construction site, operating alongside skilled crews in one of the most dynamic environments in the physical world. Construction faces $10 trillion in demand this decade and a shortage of more than half a million workers. The project list is not getting shorter, and the industry that builds everything has been underserved by technology for too long. FieldAI helps teams automate time-consuming walkthroughs, data capture, and repetitive field work so experienced crews can focus on what actually requires their expertise.

Going to #CVPR2026 today? Stop by our booth (#211) for research talks, interactive demos, and @fieldai_'s quadruped in action. 👋 While you’re on the show floor, explore our partners across the expo hall. You can find them all on our interactive map: nvidia.com/en-us/events/c…

Singapore is becoming one of the most important proving grounds for physical AI. Over the past several weeks, @fieldai_ has been part of two major conversations in Singapore on how AI and robotics have moved from promise to real-world deployment. At MTX - Milipol TechX, FieldAI CEO Ali Agha joined leaders in public safety for a discussion on next-generation response and the role of AI and robotics in helping teams operate more safely and effectively in complex environments. At @AsiaTechxSG , Shayegan Omidshafiei, FieldAI President and Chief Scientist, joined Raahul Kumar of Certis for a conversation on what it takes to send machines where humans should not have to go. Singapore is putting those conversations into practice. The country recently announced its first multi-operator robotics testbed at Punggol Digital District, bringing government, research, and industry partners together to test robotics and physical AI in a mixed-use public environment. FieldAI is proud to contribute to this effort, drawing on the perspective we’ve gained from deploying our robots across thousands of missions for many customers on three continents. We’re excited to help advance physical AI where it matters most: in the field.

Robot development doesn’t stop at one training loop. 🔁 It’s a continuous cycle of collecting data, refining it, training policies, testing, and repeating. Discover how we’re helping developers accelerate this cycle with new updates across NVIDIA Isaac technologies including Isaac GR00T, an open, end-to-end development platform for humanoid robots built on NVIDIA Jetson Thor. 🤖 Read the blog: nvda.ws/4e0qwEq #NVIDIAGTC

.@ousterlidar & @fieldai_, a leader in field-deployed general #robotintelligence, have announced a collaboration to enhance how general-purpose #robots perceive & navigate complex environments by leveraging #Ouster’s #Rev8 native colour #LiDAR shorturl.at/KBHfE

At #NVIDIAGTC, Jensen announced a major open source collection of physical AI agent skills and tools, available now on GitHub. The new collection helps agents tap into NVIDIA technologies including Omniverse libraries, Cosmos world foundation models, Isaac simulation frameworks, Metropolis, Alpamayo and Jetson, with skills spanning autonomous vehicles, robotics, vision AI, industrial digital twins and healthcare. Read the release ➡️ nvda.ws/4uHVtV6