Full-Time
Posted on 8/29/2025
Hospital robotic assistant for routine tasks
No salary listed
Remote in USA
Remote
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Company Size
51-200
Company Stage
Late Stage VC
Total Funding
$70.8M
Headquarters
Austin, Texas
Founded
2017
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Competitive salary & equity
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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.
Serve Robotics has agreed to acquire Diligent Robotics for $29 million in stock, plus a potential earn-out of up to $5.3 million, expanding its Physical AI platform from sidewalk delivery into indoor healthcare environments. The deal is expected to close in Q1 2026, subject to customary conditions and Nasdaq approval. Diligent's Moxi fleet has completed over 1.25 million autonomous deliveries with nearly 100 robots deployed across more than 25 US hospitals. Each hospital deployment is expected to generate $200,000–$400,000 in annual sales. Founded in 2017, Diligent has raised over $100 million from investors including Tiger Global and Canaan. The acquisition will enable Serve to deploy AI-powered hospital delivery robots whilst accelerating its autonomy capabilities across indoor and outdoor environments through shared learning systems.
Acquisition broadens Serve’s autonomous robotics platform, expanding market opportunity beyond last-mile delivery, and delivering non-organic...
Why serve Robotics is acquiring a hospital assistant robot company. Serve Robotics is expanding beyond its sidewalk delivery roots by acquiring Diligent Robotics, which makes a hospital assistant bot named Moxi.
Diligent Robotics launches new Nvidia ai-powered 'world's largest deployed fleet of mobile manipulation robots' Diligent Robotics, the company behind Moxi, the world's largest deployed fleet of mobile manipulation robots working side by side with people, today unveiled plans for Moxi 2.0, its next-generation platform built with AI from the ground up. The launch builds on three years of proprietary real-world data, collected from over 1.25 million deliveries in busy hospital environments and representing one of the largest datasets of real-world human-robot interaction. Representing one of the largest deployed fleets of Nvidia-powered mobile manipulator robots in healthcare, Moxi currently operates in over 25 hospitals across the US to help nurses and pharmacy staff with routine tasks, such as delivering medications and lab samples. The company is planning its expansion into the senior living sector with its participation in the AgeTech Collaborative from AARP accelerator program. Andrea Thomaz, co-founder and CEO of Diligent Robotics, says: "Interactive environments are the hardest to simulate, but they're where robots can deliver the most value. "We've collected millions of examples of Moxi operating in dynamic human environments, now built into Moxi 2.0, the first system to truly reflect that lived experience and everything we have learned." Diligent Robotics is an early adopter of Nvidia's newly-unveiled IGX Thor, an Nvidia Blackwell-powered, industrial-grade, enterprise-ready platform designed for industrial, robotics and medical edge AI applications. It features real-time sensor processing, AI reasoning, functional safety and long-term enterprise support. Thomaz says: "Moxi 2.0 has 10x the compute of Moxi 1.0, thanks to the rapid advancement of the Nvidia Jetson line. "We're excited about how the new Nvidia IGX Thor platform pushes the boundaries of AI performance at the edge, unlocking possibilities for future generations of intelligent, human-centered robots." With Moxi 2.0, Diligent introduces upgraded intelligence and hardware, designed to handle the real-world complexity of crowded, dynamic indoor human environments. The new system pairs next-generation AI compute with Diligent's proprietary AI stack, enabling Moxi to reason, predict, and adapt for a wider range of capabilities in real-time, including pre-emptively navigating around beds and wheelchairs. What's new in Moxi 2.0. * Next-Gen AI Compute: Powered by Nvidia Thor, Moxi 2.0 is equipped with increased compute, allowing Diligent to deploy significantly more powerful and capable AI models and faster inference speeds. * Next-Gen Hardware Platform: The new design is optimized for manufacturability and hardened to support the fleet's quickly growing scale. * Robot Foundation Model: Diligent is developing an end-to-end action model optimized for enhanced dense navigation behaviors and high precision, complex manipulation. Leveraging its growing dataset of deployment data - expected to grow to petabytes next year with Moxi 2.0 - Diligent will be releasing increasingly more powerful foundation models to power the next generation of robotic applications. * Physical User Interaction Points: Deployment has provided detailed user feedback on how to service and physically interact with the Moxi platform. Moxi 2.0 has improved handles and servicing panels for easier user navigation. Solving robotics' chicken-and-egg data problem. Most robotics platforms face a fundamental challenge: the models need deployment to improve, but the models must improve before wide deployment. Diligent has solved this problem by scaling its MVP humanoid platform early, allowing it to collect massive volumes of high-value data from the real-world. This is the true value of the learning flywheel that a deployed fleet offers: The ability for data to capture the millions of edge cases of dynamic interactive environments and fuel faster learning of models to handle them. Today, Moxi already excels at mobile manipulation when faced with variations, predictive inference in busy environments, and human interactions in shared spaces. Moxi 2.0 will continue building on this foundation. Moxi 2.0's platform improvements are designed to support increased robot deployments within a single hospital, scaling to 15+ units per site as more advanced capabilities come online. As a result, Diligent expects to double its hospital footprint annually, and deploy thousands of robots deployed 2030. Editor's note: Diligent has not disclosed how many Moxi robots are currently in operation, nor provided independent verification of its claim to be operating the "world's largest deployed fleet of mobile manipulation robots". It is therefore unclear what comparison the company is making, or how large the fleet actually is.