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:

A FieldAI-powered robot, pictured with Singapore's Minister for Transport Jeffrey Siow at @SMRT_Singapore's Gali Batu Bus Depot. It patrols autonomously with infrared sensing, checking buses and EV charging bays for abnormal heat so the safety team gets an early warning instead of an incident. Congratulations to SMRT on the launch of their new Mobility Command and Control Centre.

CATERPILLAR PARTNERS WITH FIELDAI ON PHYSICAL AI $CAT is working with FieldAI to bring AI-powered autonomy and robotics into jobsites and factories, using Caterpillar’s operational data, FieldAI’s robot foundation models and NVIDIA technologies. Early applications include autonomous inspections, real-time digital twins, risk detection and AI-driven optimization of equipment and facility operations.

Shayegan Omidshafiei, FieldAI President and Chief Scientist, gave the keynote “Autonomy in the Wild” at @autonomousevent The Future of Robotics & Physical AI in San Francisco. The premise: what does it take for a robot to arrive at a site it has never seen, with no prior map, no GPS, and no site-specific training—and get to work? FieldAI robots do exactly that across hundreds of deployments in construction, energy, and other complex industrial environments, where conditions are constantly changing and robots must operate safely around people, equipment, and incomplete information. Full keynote linked here:

At Automate in Chicago, FieldAI CEO Ali Agha joined @bheater for a special live episode of The Automated Podcast at the Humanoid Robot Forum. They discussed why robotics requires models purpose-built for the physical world, rather than shoehorning large language models into robotics. FieldAI’s Field Foundation Models combine data-driven learning with physics-based reasoning and uncertainty awareness, enabling one AI brain to operate across robots, tasks, and environments without prior maps, GPS, or predefined routes. FieldAI already powers robots across three continents, from construction and industrial to critical infrastructure inspection and beyond, with each new workflow expanding the value of robots already in the field. Watch the full podcast here:

At MACHINA 2026 in Paris, FieldAI CEO Ali Agha took the stage to discuss what it took to move Physical AI beyond controlled demonstrations and into real-world deployment. In safety-critical environments, intelligence cannot rely on pattern recognition and data scale alone. Language models can hallucinate with limited real-world consequence. In robotics, a hallucination can become an unsafe action around people, heavy machinery, or critical infrastructure, where even a single error can cause physical harm or operational disruption. Ali shared how FieldAI’s architecture-first approach combines data-driven learning with physics-based reasoning, uncertainty awareness, and risk-aware decision-making. The result is robot intelligence designed to operate safely and reliably in unpredictable environments, across different robots, tasks, and industries. Deployment over demos means building for the conditions robots actually face in the field. Watch the full keynote here:

Building robots for the toughest environments is no easy task. 🤖 @fieldai_ CEO Ali Agha explains why safety, simulation, and AI are essential for deploying robotics in dynamic, safety-critical settings. 👇

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# #PlayTimeVentures# #EmbodiedAI# #WorldCup#

Big news and another major step in scaling physical AI and the future of heavy industry: today, FieldAI is announcing its strategic collaboration with @Caterpillarinc, backed by a major commercial agreement. FieldAI is bringing its general-purpose robots together with Caterpillar’s industry expertise and operational data to accelerate the deployment of physical AI, autonomy, and robotics across industrial operations. Caterpillar selected FieldAI following extensive real-world validation of FieldAI’s ability to deploy robots across Caterpillar’s complex, dynamic jobsites. FieldAI’s general-purpose, robot-agnostic Field Foundation Models™ (FFM) are built for exactly these conditions, enabling robots to turn real-time observations from jobsites and industrial environments into actionable intelligence that can improve safety, productivity, and operational efficiency at scale. Caterpillar has spent more than a century shaping how work gets done across jobsites and manufacturing environments. With a growing global footprint of FieldAI deployments across three continents, this collaboration creates an exciting opportunity to bring robots and AI-enabled machines to industrial operations at significantly greater scale and help shape the next century of heavy industry. This collaboration is part of a broader expansion of FieldAI’s commercial deployments across industries, with more to come soon. Read the full announcement: