unnyvale-based startup wants to automate the overlooked stretch between warehouse and destination — the hallways, elevators, and loading docks where most delivery robots don’t go.
Robots have crept into warehouses and sidewalks over the past decade, but the space in between — hospital corridors, campus walkways, airport terminals — has largely stayed untouched by automation. Ottonomy, a deeptech startup founded in 2020, is betting that this overlooked stretch, rather than flashy humanoids or sidewalk delivery bots, is where autonomous robots will prove their value first.
From a Guest House to Global Deployments
Ottonomy was founded by CEO Ritukar Vijay, who brought nearly two decades of experience in robotics and autonomous driving, along with college friend Hardik Sharma and former colleagues Pradyot Korupolu and Ashish Gupta. The idea crystallized during the COVID-19 pandemic, when hospitals, industrial campuses, and travel hubs suddenly needed a way to move goods without human contact.
The company’s earliest robots were built and tested informally in India before its first commercial rollout at Northern Kentucky International Airport, where the machines delivered food, drinks, and travel essentials. Ottonomy later pivoted away from food delivery altogether, shifting toward a more specialized mission: moving medicines, lab samples, spare parts, and other critical materials through complex indoor-outdoor environments.
How the Robots Navigate
Rather than depending mainly on GPS, Ottonomy’s robots — known as Ottobots — rely on what the company calls “High Information Maps,” which give the machines contextual awareness of their surroundings, including indoor spaces where satellite signals don’t reach. Layered on top of that mapping is a “Contextual AI” system that helps a robot adjust its behavior depending on where it is — moving differently through a cancer center than it would through a warehouse, for instance.
In practice, that means an Ottobot can wheel down a hallway, summon an elevator, pass through access-controlled doors, and continue outside to a neighboring building — all without a human operator, and while maintaining a secure chain of custody for whatever it’s carrying.
Customers and Products
Ottonomy currently works with 15 customers spanning healthcare, industrial campuses, airports, and last-mile logistics. Its client list includes Wellstar Kennestone, a U.S. hospital where the robots ferry blood samples and vaccines between buildings, and food-services giant Sodexo.
The company offers four robot models — Ottobot 2.0, Ottobot M, Ottobot V, and Ottobot X — through a Robots-as-a-Service subscription model, typically spanning one- to five-year contracts that bundle hardware, software, fleet orchestration, and support without any upfront capital cost.
Alongside the hardware, Ottonomy has built Ottumn.AI, a software layer meant to orchestrate operations across an entire site by combining edge and cloud computing. The system is designed to work through APIs, allowing customers to fold in existing robots or systems rather than ripping and replacing what they already have — letting a business scale from a single pilot to a campus-wide network run through one platform.
Betting on “Physical AI”
Vijay frames the company’s strategy around what he calls “Physical AI” — AI systems operating in messy, human-centric physical spaces, as opposed to purely digital ones. While much of the robotics industry’s investment currently flows toward humanoid robots and sidewalk delivery bots, Ottonomy is wagering that the quieter, less glamorous work of indoor-to-outdoor logistics will generate measurable returns sooner.
India has become central to that bet. Ottonomy runs a production facility in Noida and employs a team of more than 60 people, the bulk of them based in the Delhi National Capital Region. The company says it is also expanding manufacturing in the United States to scale up production capacity. Its robots are currently deployed across North America, Europe, the Middle East, and India.
Funding and What’s Next
Since its founding, Ottonomy has raised roughly $8.2 million from investors including pi Ventures, CoreNest, Connetic Ventures, Wellstar Catalyst, Enrission India Capital, and ADR Ventures. The company recently won the Accenture Tech Next Challenge 2026 in the Supply Chain and Engineering category, which it says gave the team sharper insight into scaling Physical AI within large enterprises.
Looking forward, Ottonomy plans to widen its footprint in healthcare and industrial settings, build out Ottumn.AI as its orchestration backbone, and support mixed fleets that combine different robot types with drones. The company competes with firms such as Starship Technologies and Serve Robotics, but argues its edge lies in handling the full indoor-to-outdoor journey through one integrated system — a position it says is backed by 24 granted patents from 29 filings, along with a reinforcement-learning pipeline meant to keep improving how its robots navigate the real world.