Skild AI

At FieldAI, we bring together top-tier talent from NASA JPL, DeepMind, Tesla, and NVIDIA to build the future of embodied AI. Our team thrives on tackling the toughest challenges in unstructured environments, where we've developed first-of-its-kind AI and robot autonomy solutions that can navigate caves without satellite information or prior maps. We're a collaborative group of engineers, researchers, and field deployment experts who believe in shipping real-world robotic AI across the globe. Our culture emphasizes deep technical excellence combined with practical field application - we don't just write code, we deploy it to the most demanding industrial and defense environments. We're driven by a shared mission to enable unprecedented productivity, safety, and efficiency by bringing autonomy to challenging real-world conditions. Our physics-first approach means we value robustness and resilience in everything we build. Having grown from approximately 30 people at the end of 2024 to 130 team members in 2025, we maintain a collaborative environment where individual contributions have real impact. Whether developing Field Foundation Models or scaling our technology for government and defense applications through Field AI Federal, our team members tackle complex problems with creativity and determination.

We are Shield AI, a US based defense technology company founded in 2015 to protect service members and civilians with intelligent systems. We design and deploy autonomous mission systems for aircraft and unmanned platforms, built around our Hivemind autonomy backbone and a family of mission ready software and hardware modules. Our products include X-BAT and V-BAT aircraft, Hivemind Enterprise, ViDAR and other capabilities built to operate in GPS and comms denied environments. We develop EdgeOS, Pilot, Forge and Commander to enable rapid development, testing and deployment of resilient autonomy across domains. Our approach is aircraft agnostic, battle tested, and focused on human directable autonomy that can scale across platforms and theaters of operation. Our team emphasizes servant leadership and a mission first mindset. Since founding we have grown to over a thousand teammates with offices across the United States and internationally, and we continue to invest in building safe reliable autonomy for the modern battlefield. We collaborate with allies to advance AI pilots powering a safer world, aiming to reduce risk to service members while enhancing decision making and effectiveness in complex environments. Autonomy for the world remains our guiding vision and the greatest victory, we believe, requires no war.

WeRide is a global leader in autonomous driving technology, developing solutions from Level 2 to Level 4 autonomy. Founded in 2017 and publicly traded on Nasdaq (WRD) and Hong Kong Stock Exchange (0800), WeRide operates the world's largest autonomous driving footprint with commercial services and permits across eight countries. The company's WeRide One universal platform powers five core products: Robotaxi, Robobus, Robovan, Robosweeper, and WePilot ADAS, serving smart mobility, logistics, and sanitation sectors. With over 2,200 days of continuous operations spanning more than 55 million autonomous kilometers, WeRide has established itself as the first publicly listed universal autonomous driving company. The company's 1,600+ vehicle fleet operates in over 40 cities across 11 countries, including the world's first large-scale commercial Robotaxi operations in China and the UAE. Strategic partnerships with global automotive leaders including Renault-Nissan-Mitsubishi Alliance, Yutong Group, GAC Group, and BOSCH demonstrate WeRide's commercial viability and technical excellence.

We're Gatik, and we're building autonomous trucks that handle the middle-mile logistics for some of North America's biggest retailers. Instead of chasing long-haul trucking or robotaxis, we focused on the regional routes between distribution centers and stores - where goods move frequently but predictably. This is where our Level 4 autonomous system, Gatik Driver™, really shines. It's built specifically for fixed, repeatable routes that retailers depend on every single day, making it possible to remove the driver entirely while keeping operations safe and efficient. What makes us different is that we're not running experiments or small pilots. Our trucks are commercially deployed right now, moving freight for Fortune 50 companies like Walmart, Kroger, and Loblaw across multiple states. We've completed over 60,000 fully driverless deliveries without an incident, and we're the first company in the U.S. operating driverless trucks at commercial scale. Our team combines expertise in autonomous systems with a pragmatic approach to solving real supply chain problems - no hype, just reliable freight that keeps shelves stocked and businesses running smoothly.

Sanctuary AI, founded in 2018 and headquartered in Vancouver, Canada, develops industrial-grade humanoid robots designed to address labor challenges in manufacturing, logistics, and automotive sectors. The company focuses on embodied AI systems that model human movement and cognitive processes, enabling robots to learn from and interact with physical environments in human-like ways. Sanctuary AI ranks third globally in humanoid robotics patents, reflecting substantial technical development in the field. The company's flagship product, Phoenix, is positioned as a general-purpose humanoid robot built for industrial deployment. Phoenix features human-like dexterity, tactile feedback systems, and fine manipulation capabilities, enabled by a proprietary AI control system. The robot is designed for collaborative operation alongside human workers in automotive plants, manufacturing facilities, and logistics operations, with particular emphasis on tasks characterized as dull, dirty, or dangerous. Sanctuary AI's technical approach centers on several core domains: robotic dexterity and tactile sensing for fine manipulation tasks, proprietary AI control architectures for autonomous operation, and systems designed to achieve general-purpose utility across multiple industrial environments. The company's engineering efforts focus on creating robots that can perform varied tasks within existing industrial infrastructure, rather than requiring specialized environments or fixed automation sequences. Under CEO James Wells, the team develops solutions intended to scale across multiple industry verticals while maintaining industrial-grade reliability standards.

Mistral AI is a French artificial intelligence company founded in April 2023 by Arthur Mensch, Guillaume Lample, and Timothée Lacroix - researchers with prior experience at Google DeepMind and Meta who share academic roots at École Polytechnique. The company develops and releases open-weight generative AI models, positioning them as competitive alternatives to proprietary solutions while maintaining a commitment to transparency and accessibility in frontier AI development. The company's core technical approach centers on training large language models in-house and releasing them with open weights, allowing developers, enterprises, and institutions worldwide to deploy these models while maintaining full control over their data and applications. Mistral AI's models are designed to compete with closed, proprietary systems, and the company frames community-backed development as a methodology for addressing censorship and bias in AI systems. This technical philosophy distinguishes their work from the conventional closed-model paradigm dominant among major AI providers. Mistral AI's business model targets a broad user base spanning software developers, enterprises, and institutions globally. The company positions itself as building a credible alternative to what it characterizes as an emerging AI oligopoly, advocating for open access to frontier AI capabilities rather than concentration of advanced models within a small number of organizations. Their released models are intended to enable external parties to build and operate AI applications independently, without dependency on proprietary API services or restricted model access.