Full-Time
Updated on 8/18/2026
Hardware-agnostic AI platform for robots
$120k - $170k/yr
Irvine, CA, USA
In Person
Travel and on-site customer work are required as needed.
Master's
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Field AI provides a hardware-agnostic AI platform that lets robots operate autonomously in real-world, unstructured environments. Its Field Foundation Models (FFMs) act as a universal AI brain that can run on different robots, from autonomous vehicles to humanoids, to automate tasks on construction sites, in oil and gas, and during site inspections. The FFMs serve as a shared core for perception, planning, and control and can be integrated with existing equipment, while partnerships with other companies expand the available solutions. The goal is to speed up the adoption of autonomous robotics in industries where reliable operation in unpredictable settings is essential, by offering interoperable AI and an open collaboration model.
Company Size
201-500
Company Stage
Late Stage VC
Total Funding
$405M
Headquarters
Irvine, California
Founded
2023
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Hybrid Work Options
Robot.com unveils R-dog: A four-legged Robotic platform Designed to deliver, advertise, and engage. Aug 11, 2026, 12:00 ET Designed to run on REMI, Robot.com's fleet management and physical API layer, the concept robot will evolve into a production version through an expanded collaboration with FieldAI, whose general-purpose Field Foundation Models will serve as the robot's autonomy brain. SAN FRANCISCO, Aug. 11, 2026 /PRNewswire/ - Robot.com(R), the company putting robots to work in the real world, today unveiled R-dog(TM), its new concept for a four-legged delivery robot built for two distinct and essential roles in robotics: completing the last 100 meters where wheeled robots cannot operate, and turning those same locations into interactive advertising. R-dog will run on REMI, Robot.com's fleet management platform and the physical API layer that integrates, controls, and orchestrates every robot in the company's fleet. Every delivery eventually reaches the hard part: stairs, curbs, thresholds, uneven ground between a lobby and a door, and many other impediments. While wheeled robots stop there, R-dog was designed as a solution for those last few steps. Its four legs carry it up and down stairs, over curbs and thresholds, and across the mixed terrain where the final stretch of a delivery actually happens, including dense urban streets, residential neighborhoods, and campus settings such as universities, hospitals, and corporate or industrial sites. The R-dog concept is built for real payloads, featuring a large onboard compartment that holds multiple items at once. For example, stacked food orders alongside standard e-commerce parcels, so the same robot handles food delivery and package delivery without a hardware change. When it arrives, unattended auto drop-off completes the handoff and sends the R-dog to its next assignment. A Delivery Robot That Turns Advertising Into Something People Walk Toward R-dog's second application is interactive advertising through R-ads(TM), Robot.com's unified, self-serve advertising suite. The same expressive, approachable design that draws people toward the robot also turns it into a moving, interactive out-of-home ad platform. Brands will be able to remotely upload and manage campaigns to the R-dog's dual video screens, and let the robot's personality do the work. People notice it, walk toward it, interact with it, and then notice the brand behind the experience. An impression that begins with a smile converts in ways that static signage cannot. "A decade of building delivery robots has taught us that most robots hit a wall in the final 100 meters, leaving a person to finish the job by hand. R-dog is our answer to that," said Felipe Chavez Cortes, CEO and Co-Founder of Robot.com. "And we're equally proud of how we built it. REMI is the operating foundation that runs every robot we have. When we wanted to add a quadruped, we didn't need to build a new operational system from the ground up. We built R-dog to run on what already exists, and that is what makes launching a new robot form factor possible at the pace we move." The Platform & Partner Backing the Bot Every Robot.com robot is connected through REMI, the company's physical API platform and fleet management layer that manages everything from teleoperation to performance and deployment. Work across every category, from delivery robots to humanoids and four-legged robots, contributes to shared intelligence that improves future tasks across the fleet. This foundation allows Robot.com to deploy new form factors without rebuilding from scratch. As R-dog moves toward production, Robot.com is expanding its collaboration with FieldAI. Field Foundation Models (FFMs) serve as an operational AI layer that generalizes across robots and environments and serves three roles: 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. "Every delivery ends where Field Foundation Models are strongest, in the dynamic, unpredictable last 100 meters where the map runs out," said Ali Agha, Founder and CEO of FieldAI. "Grounded in physics and uncertainty quantification, FFMs enable R-dog to adapt to those conditions in real time and operate with the safety, reliability, and interpretability required for real-world deployment." The Newest Robot in an Expanding Fleet The R-dog concept joins an expanding portfolio that includes R-kiwi(TM) for campus delivery, R-cargo(TM) for industrial and warehouse logistics, R-noid(TM) for humanoid labor solutions, and R-ads across the fleet. More than 500 robots are currently deployed across the United States, Canada, Dubai, and MENA, having completed more than 2.5 million tasks to date. R-dog launches today as a concept, with commercial deployments in 2027. About Robot.com Robot.com Holdings Inc., doing business as Robot.com(R), is a pioneer in practical robotics solutions powered by advanced AI. The company operates a dual-engine business: Robotic Services, delivering Level 4 autonomous robots for campus delivery, warehouse logistics, and inspection; and Robot.com Media, a national OOH advertising platform powered by its mobile robot fleet. With more than 500 robots deployed across the United States, Canada, Dubai, and MENA, and completing over 2.5 million tasks, Robot.com operates at enterprise scale every day in real environments. Founded in 2017 and headquartered in San Francisco with offices in Colombia, Robot.com partners with enterprise operators, including Sodexo, to solve workforce and logistics challenges today. Robot.com is a founding member of Robots for America, a national coalition advancing the adoption of robotics and American industrial competitiveness. Forward Looking Statements This press release contains certain forward-looking statements within the meaning of the Private Securities Litigation Reform Act, as amended, including those relating to certain industry metrics, Company performance metrics and other statements that are predictive in nature. These statements relate to future events, future expectations, plans and prospects. These statements may be identified by the use of forward-looking expressions, including, but not limited to, "expect," "anticipate," "intend," "plan," "believe," "estimate," "potential," "predict," "project," "should," "would" and similar expressions and the negatives of those terms. Although the Company believes that the expectations reflected in such forward-looking statements are reasonable as of the date made, actual results or outcomes may prove to be materially different from the expectations expressed or implied by such forward-looking statements. Meaningful factors that could cause actual results to differ include, but are not limited to, whether we will have adequate financial resources to enable us to pursue our business successfully, given that we will likely need more financial resources than the additional resources. These statements are only predictions and involve known and unknown risks, uncertainties, and other factors. The Company does not undertake any obligation to release publicly any revisions to forward-looking statements as a result of subsequent events or developments, except as required by law. For Investors: Matt Kreps Darrow Associates +1-214-597-8200 [email protected] SOURCE Robot.com
McLaren teams up with US AI firm to bring robots to site. Initiative marks California company's debut in UK McLaren has teamed up with US firm FieldAI to bring general purpose robots to its construction sites. Under the partnership, McLaren will deploy autonomous quadruped robots, initially to capture 360° site imagery, generate point cloud data and support progress verification, model-to-site deviation analysis, safety compliance patrols and quality assurance. Regular automated scans by California-based FieldAI robots will create a visual and spatial record of work as it is installed. AI-enabled deviation analysis will compare site data against the design model, reducing the time between install and identification of on-site quality issues. The partnership marks FieldAI's entry into the UK market with the firm already working at hundreds of sites across Europe, Asia, and North America. McLaren Construction's group pre-construction director Adam Nicholson said: "The significance of this deployment for the construction industry is that we now have autonomous robots navigating stairs, doors and other obstacles and constantly working with our human teams to support productivity, safety and quality."
FieldAI, a robotics startup building software to help robots navigate challenging environments, has reached $100 million in revenue and customer contracts. The company, founded in 2023, serves 30 customers across Europe, Asia and the US in construction, data centres and defence. FieldAI develops a "universal general-purpose brain" that works across various robots, from humanoids to drones, enabling autonomous operation in unpredictable settings. Last year, the startup raised $405 million from investors including Jeff Bezos' family office, Emerson Collective, Khosla Ventures and Nvidia's venture arm, valuing it at $2 billion. The company's software uses physics and probability to build "risk-aware" AI that requires less training data than competitors. CEO Ali Agha previously spent seven years at NASA's Jet Propulsion Laboratory developing autonomous systems.
Robot startup FieldAI hits $100 million valuation milestone with autonomous navigation technology Jun 26, 2026, 10:00 AM [Original] FieldAI, which develops general-purpose software for robots, announced that its revenue and total customer contract value have exceeded $100 million. The company provides autonomous operation solutions for complex environments such as mines and construction sites, and is backed by well-known investors including Bezos Expeditions and Nvidia. * FieldAI said its revenue and customer contract total has exceeded $100 million. * The startup's software helps robots operate in mines, construction sites, and factories. * Investors including Bezos Expeditions, Nvidia, and Khosla Ventures have supported FieldAI. Robot startup FieldAI has reached the $100 million milestone. The company, which develops software to help robots navigate challenging environments like mines and construction sites, said its revenue and customer contract total has grown to over $100 million. CEO and co-founder Ali Agha told Business Insider that the contracts come from 30 customers in Europe, Asia, and the US. "We have seen very, very rapid growth in the past few months," Agha said. Founded in 2023, FieldAI is building a "universal brain" that can work across robots, tasks, and environments. Its software runs on a range of machines from humanoid robots and robot dogs to drones and industrial rovers, helping them operate safely and autonomously in unpredictable environments. Last year, the startup raised $405 million from investors including Jeff Bezos's family office, Laurene Powell Jobs's Emerson Collective, Khosla Ventures, Nvidia's venture capital arm, mining giant BHP, and Intel. That funding round valued FieldAI at $2 billion. FieldAI is headquartered in Irvine and the Bay Area in California, and has hired robotics and AI talent from Google DeepMind, Waymo, Tesla, Nvidia, Boston Dynamics, and Amazon. Its customers include construction companies, data center operators, defense firms, and more. FieldAI's robot software is already used in the real world FieldAI is one of the few robot startups that has paying customers using its software to operate robots in real-world settings. Many companies are still in robot development or pilot stages due to lack of real-world training data. While AI chatbots are trained on vast amounts of text and images from the internet, no comparable database exists yet for robotics. Agha said FieldAI's edge comes from developing software called Field Foundation Models, which does not require massive training data for each task. Instead, the company uses physics and probability theory to build "risk-aware" AI that can make safe decisions under uncertainty. This allows FieldAI to deploy robots for customers faster than competitors. Initially, robots equipped with FieldAI's "brain" perform basic tasks and collect data from real work. FieldAI uses that data to optimize its software, which then helps robots handle more complex situations. "If you don't have this architecture, it's a chicken-and-egg problem," Agha said. "You can't deploy because you need data to have a working model, and you need a brain to deploy so you can collect data in the real world." In construction, for example, FieldAI's robots can patrol work sites and take photos to update digital copies of building plans. Agha noted that this work is usually done by people walking around the site, but robots are better suited because they can operate 24/7 and produce more detailed, accurate records. Data collected by robots on site helps optimize FieldAI's software and allows it to add more robot capabilities over time. Khosla Ventures among investors backing FieldAI Kanu Gulati, a partner at Khosla Ventures and an investor in FieldAI, first saw the startup when Agha visited the firm's Menlo Park office with an early prototype. The robot navigated from the backyard to the garage on its own, created a 3D map, and found its way down a steep flight of stairs. "It was impressive," Gulati said. Gulati said the market opportunity for robots in industries like construction, mining, and nuclear power plants became obvious after talking to potential customers. She noted that FieldAI has an advantage because its robots are already deployed and collecting data from real work. This gives the company "likely the best shot at executing the next generation of complex tasks," including moving materials and handling larger objects, Gulati said. While FieldAI is still in early stages, Agha envisions a future where robots of all shapes and sizes operate throughout the economy. "We're going to see robots in virtually every aspect of our lives, starting from the industrial side and then moving into the consumer side," he said. Agility Robotics is another company with real-world deployments, including at Amazon warehouses and GXO logistics facilities. The humanoid robot company plans to go public through a transaction valuing it at around $2.5 billion. This article was originally translated from Business Insider TW with AI assistance and reviewed by human editors.
Innovo and FieldAI bring general-purpose robots to the Middle East. 2 minutes read Innovo Group, the leading construction company across the UAE's built environment, has partnered with FieldAI, a physical AI category leader, to bring general-purpose robots to live construction environments across the Middle East. The partnership's first project is Ghaf Woods in Dubai, a landmark AED 1.7 billion biophilic residential community by Majid Al Futtaim. For Innovo, the collaboration reflects a deliberate strategy to use live construction environments to operationalise advanced technologies that can reshape productivity, safety, quality control, and project delivery. This approach is a core part of a wider technology ecosystem that includes collaborations with academia, startup accelerators, and global venture capital firms. FieldAI is the leader in deploying general-purpose robots in unstructured settings that are otherwise too complex and unpredictable for robots. Active construction sites are among the most demanding environments - safety-critical, constantly evolving, and defined by the unpredictable proximity of people, heavy machinery, and complex terrain. Ghaf Woods adds the vast scale of the development and the intensity of the UAE's climate, including extreme heat. If a robot can operate here, it can operate almost anywhere. The production deployment will start with autonomous site progress monitoring, real-time documentation, environmental understanding, and data capture in areas that are difficult, repetitive, or operationally complex for human teams, especially in the extreme heat of the UAE's climate. FieldAI's universal robot "brain" works across many robot types and tasks. It starts with monitoring and modeling missions and expands across the full spectrum of physical work, including site logistics, dexterous manipulation, and multi-robot coordination. Each new capability creates compounding value, increasing the return on every robot already deployed. Douglas Zuzic, Chief Digital Officer at Innovo Group, said: "Innovo's live construction sites provide a unique opportunity to deploy and scale frontier technologies in one of the most demanding operating environments in our industry... At Innovo, we are not approaching innovation as a side initiative; we see the built environment as a platform for scaling and operationalising technologies that can change the UAE's built environment. Our partnership with FieldAI reflects our commitment to leading that shift from the region." Ali Agha, CEO of FieldAI, said: "FieldAI is scaling production deployments around the world to bring the promise of AI off the screen, beyond structured settings, and out into the field where most of the world's physical work takes place. The Middle East is one of the most important regions for that work over the next decade. It's an honor to partner with Innovo Group on complex, large-scale projects such as Ghaf Woods, where the demands are greatest." This partnership directly supports the UAE's National Strategy for Artificial Intelligence 2031, which aims to position the nation as a global leader in AI. By operationalising advanced robotics in a key non-oil sector, Innovo is demonstrating how large-scale infrastructure projects can serve as platforms to scale technologies that drive economic diversification and innovation-led growth. As one of the least digitised major industries globally despite its economic significance, construction presents a significant opportunity for transformation through the adoption of AI, robotics, and data-driven systems. By integrating these technologies into large-scale developments, Innovo is helping accelerate the sector's transition towards more intelligent, resilient, and technology-enabled delivery.