Side-by-side comparison of AI visibility scores, market position, and capabilities
Sidewalk autonomous delivery robot company spun out of Uber Eats; publicly traded with Nvidia backing and a 2,000-robot Uber Eats deployment deal.
Serve Robotics Inc. is an American autonomous sidewalk delivery robot company headquartered in Redwood City, California, and listed on the NASDAQ. Originally spun out of Uber Eats' robotics division in 2021, the company makes Level 4 autonomous delivery robots that navigate urban sidewalks to deliver food, groceries, and packages directly to consumers. Serve Robotics is backed by NVIDIA, which has invested in and supplies the company with Jetson-based AI computing platforms.\n\nServe Robotics has an exclusive commercial agreement with Uber Eats to deploy up to 2,000 autonomous delivery robots across multiple US markets, representing one of the largest autonomous delivery robot deployment commitments globally. The robots operate on sidewalks at pedestrian speed, equipped with cameras, lidar, and AI to avoid obstacles and interact safely with pedestrians. Deliveries are offered at a cost comparable to or lower than traditional courier delivery, with the model targeting positive unit economics at scale.\n\nAs of 2025, Serve Robotics has been scaling operations in Los Angeles and expanding to additional cities, building operational data and refining its autonomy stack. The company's differentiated positioning — Level 4 sidewalk autonomy rather than road-based delivery — insulates it from the heaviest vehicle regulatory burden while opening a large last-mile delivery market. Serve Robotics represents the convergence of robotics, AI, and the gig economy model pioneered by Uber Eats.
a2z Radiology AI raised $20M in 2025 for its whole-body AI that simultaneously screens for 24+ conditions across CT scans — from incidental cancers to cardiovascular risk — in a single automated read.
a2z Radiology AI has developed a whole-body CT analysis platform that simultaneously screens for over 24 medical conditions across a single CT scan, including incidental cancers, coronary artery disease, aortic aneurysm, bone density loss, and organ abnormalities. The AI acts as a second reader that radiologists can use to catch incidental findings that fall outside the primary reason for a scan — a major source of missed diagnoses.
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