Fall 2026
Posted on 8/10/2026
Hardware-agnostic AI platform for robots
$35 - $45/hr
Irvine, CA, USA
In Person
Bachelor's, Master's, PhD
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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
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.
Ouster and FieldAI collaborate to scale autonomous perception for the world's most challenging environments with REV8 digital lidar. Provided by Business Wire Jun 2, 2026, 3:00:00 AM Rev8 provides the precision and ruggedness required for production deployments in unstructured settings Ouster, Inc. (Nasdaq: OUST) ("Ouster" or the "Company"), a leader in sensing and perception for Physical AI, and FieldAI, a leader in field-deployed general robot intelligence, announced today a collaboration to enhance how general-purpose robots perceive and navigate complex environments by leveraging Ouster's Rev8 native color lidar. Ouster lidar on a FieldAI humanoid robot. FieldAI's universal robot "brain" works across radically different robot types, tasks, and environments. Robots can be introduced to a new site like a new employee, with no prior information, pre-planned routes, supporting infrastructure, or environmental modification required. The novel architecture of Field Foundation Models(TM) unlocks unstructured settings where most of the world's physical work takes place. These environments are otherwise too complex and unpredictable for robots. "FieldAI is at the forefront of deploying general-purpose robots in unstructured settings where work is often dangerous and difficult for humans," said Cyrille Jacquemet, Chief Revenue Officer at Ouster. "Their new class of foundation models offers the reliability and adaptability required for autonomous robotics deployment at scale. We are thrilled to collaborate on leveraging our new Rev8 digital lidar to power the next generation of industrial autonomy." FieldAI already utilizes Ouster's digital lidar to enable robots to navigate complex, unmapped, and GPS-denied environments. As FieldAI expands deployments with large industrial customers, it is looking to Ouster Rev8's advanced sensing capabilities and robust design to help meet the rigorous demands of safety-critical industries. By integrating these capabilities in its products, FieldAI intends to deliver enhanced safety and interpretability for enterprise customers as it scales its footprint across construction, mining, energy, manufacturing, security, and government. "Scaling autonomous systems in demanding real-world conditions starts with advanced sensor technology," said Andrew Mullen, Head of Hardware at FieldAI. "Ouster Rev8's ruggedness, performance, and native color are helping FieldAI deliver next-generation physical AI solutions for industrial customers where it matters most, in the field." About FieldAI FieldAI is the leader in deploying general-purpose robots in unstructured environments, providing frontier autonomy software as a universal "brain" that works across many robots and many tasks. The company's Field Foundation Models(TM) uniquely combine data-driven AI with physics-based reasoning and uncertainty awareness, enabling safe and reliable operations in environments previously considered too unpredictable for robots. FieldAI's leadership team brings together world-class expertise in AI foundation models and real-world robotics, with roots in Google DeepMind, NASA JPL's Mars exploration program, and DARPA's Subterranean Challenge and RACER programs. The company has raised over $400 million from investors, including Bezos Expeditions, Emerson Collective, Khosla Ventures, NVentures (NVIDIA's venture capital arm), Prysm Capital, Temasek, and others. For more information, visit www.fieldai.com or contact [email protected]. About Ouster Ouster (Nasdaq: OUST) is a leader in sensing and perception for Physical AI across industrial, robotics, automotive, and smart infrastructure. With a unified platform of high-performance digital lidar, cameras, AI compute, sensor fusion and perception software, and AI models, Ouster delivers solutions that improve quality of life in the physical world. Headquartered in San Francisco, CA, Ouster has a global presence serving thousands of customers with offices in the Americas, Europe, and Asia-Pacific. For more information about our products, visit www.ouster.com, contact our sales team, or connect with us on X or LinkedIn. Forward-Looking Statements This press release contains forward-looking statements within the meaning of the Private Securities Litigation Reform Act of 1995. The Company intends such forward-looking statements to be covered by the safe harbor provisions for forward-looking statements contained in Section 27A of the Securities Act of 1933, as amended and Section 21E of the Securities Exchange Act of 1934, as amended. Such statements are based upon current plans, estimates and expectations of management that are subject to various risks and uncertainties that could cause actual results to differ materially from such statements. The inclusion of forward-looking statements should not be regarded as a representation that such plans, estimates and expectations will be achieved. Words such as "offer," "expect," "will", "may," "anticipate," "intend," "reflect," "should," "plan," "can," "could," "estimate," "possible," "potential," "pursue," "demonstrate," and the negative of these terms and similar expressions are intended to identify forward-looking statements, though not all forward-looking statements use these words or expressions. 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All forward-looking statements are subject to risks and uncertainties that may cause actual results to differ materially from those that we expected, including, but not limited to, the possibility of cancellation or postponement of contracts or unsuccessful implementations; risks related to the adoption of Ouster's products, product quality and liability risks; the Company's dependence on key third party suppliers, in particular, Benchmark Electronics, Inc., Fabrinet and other suppliers; Ouster's ability to respond to evolving regulations and standards; and other important risk factors discussed in the Company's Annual Report on Form 10-K for the year ended December 31, 2025, and as may be further updated from time to time in the Company's in the Company's Quarterly Reports on Form 10-Q and other filings with the SEC. 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