Diligent Robotics, a Serve Robotics company, begins rolling out Moxi 2.0. The next-generation hardware and AI delivers faster, more reliable hospital logistics and marks the introduction of a new robotic World Model Diligent Robotics, a Serve Robotics (Nasdaq: SERV) company and the team behind Moxi, one of the world's largest deployed fleet of mobile manipulation robots working alongside hospital care teams, today announced it has begun rolling out Moxi 2.0 to health system customers across the U.S. The next generation platform is shaped by five years of operations from over 25 hospitals. More headlines. Articles. Its launch also marks the debut of Diligent's learning flywheel: a proprietary World Model that learns from the experience of the company's fleet and improves continually with every deployment. As part of Serve Robotics, Diligent benefits from shared investment in physical AI research, accelerating the pace of innovation across its hospital deployments. For hospitals, the Moxi 2.0 means faster, more confident deliveries and longer robot operating hours, all without changes to existing infrastructure. Its platform was developed using NVIDIA Isaac Sim open simulation framework and aspects of the NVIDIA Cosmos open world models such as the 3D lidar tokenizer. Moxi 2.0 includes upgraded NVIDIA-powered A2000 compute that perceives and interprets its surroundings 10-15 times faster than the previous generation, enabling quicker responses in dynamic hospital environments like crowded hallways, opening elevator doors and shifting foot traffic. The Moxi 2.0 platform architecture prioritizes modularity, with specialized packaging that facilitates seamless integration of next-generation compute systems as emerging technologies become available. In addition, Diligent's learning flywheel turns real-world deployment into smarter software updates. Designed specifically for hospital workflows, Moxi operates within existing infrastructure from day one, with no facility modifications, specialized automation systems, or lengthy IT overhauls required. "Today we're deploying our most sophisticated physical AI platform yet," said Andrea Thomaz, founder and CEO of Diligent Robotics. "Hospital hallways are some of the most dynamic environments a robot can operate in, full of fast-moving people, doors, and carts, all in tight spaces. To operate safely in that world, our first-generation platform often had to move conservatively. Moxi 2.0 is built with the compute, sensors and models to reason about that complexity in real time, so Moxi can move with more confidence without compromising safety." Moxi 2.0 is now rolling out to health systems including Endeavor Health Edward Hospital, Providence Saint John's Health Center and Children's Hospital Los Angeles, with deployments expanding across the U.S. Diligent is actively taking orders from health systems ready to bring the platform to their hospitals. Key upgrades in the latest Moxi 2.0 platform include: 10x onboard compute, 10-15x faster perception: Upgraded processing enables faster real-time decision-making and more confident navigation through dynamic hospital environments. Robotic World Model: A new physical AI architecture purpose-built for the complexity of hospital environments, designed to strengthen navigation, task completion, and adaptation over time as the learning flywheel feeds new fleet experience back into the World Model. Up to 18 hours of operating time per day: With a runtime of up to 9 hours at a time and 30% faster charging Moxi is ready for long shifts. Improved autonomy and recovery: Enhanced handling of edge cases means Moxi can resolve more situations independently, keeping deliveries moving. Upgraded cameras, sensors, and storage: Moxi 2.0 adds an expanded sensor suite and redesigned storage drawers. Redesigned handles and ergonomics: Informed by direct feedback from nurses and pharmacy teams, making it easier for care teams to interact with Moxi when they need to. Its latest platform is designed to feed the learning flywheel faster. With upgraded sensors and enhanced edge compute, Moxi 2.0 now captures richer signals from the full complexity of working hospitals. As that experience flows into Diligent's cloud training infrastructure, each iteration of the World Model sharpens Moxi's understanding of hospital environments, edge-case recovery, and task execution, a compounding loop of better data, stronger models, and more capable robots that delivers more value to hospitals with every software update. "We've spent years in the field learning what hospitals actually need," said Thomaz. "This is just the beginning of what a true learning flywheel makes possible." The cloud infrastructure powering this flywheel was built in collaboration with Amazon Web Services (AWS). Diligent trained Moxi's World Model on Amazon SageMaker HyperPod enabling continuous improvement from deployment data at scale. T-Mobile for Business has collaborated with Diligent to help ensure reliable network access across complex hospital environments and plan for private 5G hospital deployments ahead. All safety and autonomy behaviors run onboard, so Moxi completes tasks end-to-end even without Wi-Fi, with cellular fallback available when hospital networks have dead zones. "Moxi has become an integral team member at Children's Hospital Los Angeles," says Omkar Kulkarni, Chief Innovation and Transformation Officer at Children's Hospital Los Angeles. "Since Moxi joined our team, it has completed more than 40,000 deliveries, representing over 16,000 hours of work that our staff didn't have to spend transporting supplies and medications across the hospital. We expanded our Moxi fleet from two to three robots over time, and utilization continues to grow, increasing more than 10% in the second quarter alone. Our nursing leaders and pharmacy team appreciate that we're investing in technology that allows team members to work at the top of their skill set." About Diligent Robotics Founded in 2017, Diligent Robotics is an Austin-based physical AI company and a Serve Robotics (NASDAQ: SERV) company. Diligent creates socially intelligent, AI-native mobile manipulation robots to drive workflow efficiency in healthcare. Its robot assistant Moxi operates in 25+ hospitals across the U.S., helping care teams with routine tasks such as delivering medications and lab samples to free them for patient care and prevent burnout. Founded by a team of social robotics experts, Diligent is proud to be at the forefront of human-centered robotics. For more information, visit www.diligentrobots.com. About Serve Robotics Serve Robotics (Nasdaq: SERV) designs and operates autonomous robots that navigate complex, human-centric environments. Since spinning off from Uber in 2021, Serve has deployed more than 2,000 robots across the U.S., reaching a population of approximately 3 million and supporting delivery for more than 4,000 restaurants. In 2026, Serve acquired Diligent Robotics, expanding its operations beyond sidewalk delivery into indoor service robots used in hospitals. Serve designs both the hardware and software behind its robots, enabling them to work safely in public and private environments at scale.

Serve Robotics expands into healthcare by acquiring Diligent Robotics for $29 million. Why Serve Robotics is acquiring a hospital assistant robot company. Serve Robotics, the pioneering sidewalk delivery robot firm backed by Nvidia and Uber, is acquiring Diligent Robotics to expand its autonomy technology into healthcare, marking its first move beyond food delivery.[1] This strategic deal, valuing Diligent's common stock at $29 million, positions Serve as a broader full-stack autonomy platform while leveraging proven human-robot navigation skills in hospitals.[1][3] Serve's roots in delivery and path to Expansion. Founded as a Postmates incubator project in 2017, Serve Robotics spun off in 2021 after Uber's acquisition of Postmates and went public in April 2024 via a reverse merger.[1] The company's core strength lies in its sidewalk delivery robots, which autonomously navigate crowded urban environments alongside pedestrians. By 2025, Serve scaled its fleet from 100 to over 2,000 robots and partnered with DoorDash for Los Angeles deliveries in October.[1] CEO Ali Kashani emphasizes that this growth in sidewalk operations is the "fuel" for broader applications. "Our sidewalk business is what's fueling everything," Kashani stated. "It's creating the technology. It's one of the largest autonomous fleets in the world right now and developing that helps Limitedliability create everything that Limitedliability need in other applications."[1] Serve's expertise in last-mile delivery - getting robots to move seamlessly among humans - directly translates to new sectors, making healthcare a natural extension rather than a pivot.[1] Enter Diligent Robotics: Moxi and hospital logistics. Diligent Robotics, founded in 2017 by Andrea Thomaz and Vivian Chu, develops the Moxi robot, designed for hospital tasks like delivering lab samples, supplies, and medications.[1][2] Having raised over $75 million in venture capital - including a $25 million round in 2023 - Diligent focuses on real-world deployment over lab prototypes.[1] Moxi's operations align perfectly with Serve's thesis: autonomous navigation in dynamic, human-populated spaces.[1] Hospitals present complex indoor environments with staff, patients, and equipment, mirroring the challenges of urban sidewalks. Serve aims to help Diligent scale Moxi deployments using its advanced software, tools, and fleet management expertise.[1][2] Post-acquisition, Diligent will operate relatively independently but collaborate on tech sharing to accelerate growth.[1] Strategic rationale: prepared minds meet opportunity. Kashani describes the deal as a "classic example of a prepared mind meets opportunity."[1] Serve wasn't targeting healthcare specifically but recognized the fit when the companies connected. Diligent sought scaling support, while Serve explored adjacencies opportunistically.[1] * Technological Synergy: Serve's human-coexistence navigation solves core challenges for Moxi, enabling faster hospital adoption.[1] * Team Alignment: Both companies prioritize "building in real life" over theoretical development, sharing a practical DNA.[1] * Market Expansion: This accelerates Serve's shift from delivery specialist to physical AI platform, opening high-margin healthcare logistics.[1][3] * Non-Pivotal Growth: Sidewalk delivery remains the focus; this is an additive step, not a distraction.[1] Broader implications for robotics and healthcare. This acquisition underscores the maturation of autonomous robotics beyond niche applications. Serve's massive sidewalk fleet provides battle-tested data and algorithms, which can refine Moxi for hospitals facing labor shortages.[1][2] Healthcare logistics is a $100+ billion market plagued by inefficiencies; robots like Moxi free nurses for patient care, potentially reducing costs by 20-30% in targeted tasks (based on Diligent's prior pilots).[1] For Serve investors, it's a diversification play. Public since 2024, the company gains entry to a recession-resistant sector. Analysts see it as validation of Serve's platform potential, with Kashani noting, "Robots that are moving among people is the broader opportunity for us."[1][3] Challenges remain: indoor mapping, regulatory hurdles like FDA approvals for medical deliveries, and integration risks. Yet, Serve's track record - 2,000+ robots operational - mitigates these.[1] Future outlook: from sidewalks to scalable autonomy. Looking ahead, expect cross-pollination: Serve's AI could enhance Moxi's politeness and adaptability, while hospital data refines outdoor navigation.[1] This isn't just an acquisition; it's a blueprint for robotics firms eyeing multi-domain dominance. As Kashani puts it, solving human-robot interaction unlocks "a lot of other environments."[1] Serve Robotics' bold step signals confidence in its tech stack. By acquiring Diligent, it's not abandoning delivery roots but planting seeds for a robotics empire. Stakeholders in autonomy, healthcare, and AI should watch closely - this could redefine how robots serve Limitedliability, one delivery at a time.