Viabot raises $24M for autonomous sweepers with a side job in security

Why it matters

Viabot is betting that one outdoor robot can earn its keep across several property tasks. The Series A funds the harder work: production, service and enterprise distribution.

Gregg Ratanaphanyarat's Viabot said Thursday that it raised a $24 million Series A to expand its autonomous outdoor property-care robots, which sweep commercial sites while using the same sensor package for loitering detection and asset monitoring.

Walden International led the round. CDIB Capital Group and Stalwart Ventures participated alongside existing backers Baseline Ventures, Era Ventures, Morado Ventures and SOSV. Viabot says the financing brings its total capital raised to $43 million. The valuation was not disclosed.

Ratanaphanyarat plans to spend the money on sales and engineering hires, new products and further development of the Viabot One robot and its robotics-as-a-service operation. The spending plan reflects the stage Viabot has reached after roughly a decade of hardware development: the machine works in the field, and the next challenge is deploying and supporting enough of them to build a substantial business.

"We founded Viabot on the belief that technology should be extremely helpful, beautifully-designed and built to perform meaningful tasks that give teams their time back," Ratanaphanyarat said in the announcement.

A college robotics project grows up

The Series A label understates how long Ratanaphanyarat has been working on the problem. He conceived Viabot while attending Penn State and left without graduating, according to Forbes. Viabot's May 7th, 2021 public launch said Ratanaphanyarat and his co-founder were Penn State undergraduates when they started building robots for outdoor maintenance.

SOSV lists Ratanaphanyarat as CEO, Dawei Ding as CTO and Viabot as a member of HAX's 11th hardware accelerator batch. Ratanaphanyarat's earlier robotics work included leading the Gunn Robotics Team in Palo Alto. Forbes named him to its 2024 30 Under 30 list for manufacturing and industry.

Viabot emerged publicly in 2021 with $6.1 million in funding and a RUNO prototype deployed with Cushman & Wakefield at Bay Area properties. That robot combined sweeping with early security-monitoring functions, including flagging vehicles that remained in one place for extended periods.

The subsequent years went into replacing that prototype with Viabot One, establishing production and testing the service model at customer sites. Viabot says those deployments produced profitable unit economics, contract renewals and new business. Those results remain self-reported, but they explain why this round is weighted toward distribution and engineering rather than basic product validation.

The $43 million total implies Viabot had raised $19 million before the Series A. Forbes reported $14.4 million in total funding as of January 2024, up from the $6.1 million announced in 2021.

The sweeper is also a sensor platform

Viabot One uses cameras, lidar, depth sensors, differential GPS and dynamic path planning to map commercial properties and follow scheduled routes. It collects dust, gravel, leaves and debris up to 10 inches, then returns to a dock where it empties into a standard rolling trash bin and recharges. Installation requires a standard 120-volt outlet, and the robot and dock occupy roughly one parking space.

A battery provides up to six hours of operation. Viabot says its autonomous battery-swapping system can extend work to between 12 and 24 hours, a distinction the company clarified to TNW. Autonomous tool swapping gives Viabot a path to add property tasks without replacing the mobile base and sensor stack.

That architecture supports the security pitch. As Viabot One sweeps, its sensors can identify activity such as loitering and trespassing in restricted areas and generate alerts for human personnel. Viabot describes security as a supplemental service for existing teams, keeping the product short of the dedicated patrol and response systems sold by Knightscope and Asylon.

The overlap is commercially useful. Sweeping gives property managers a routine, measurable reason to deploy the hardware every night. Monitoring extracts another function from sensors already moving around the site. A separately priced security product could eventually produce a second revenue line; as an included feature, it can still help Viabot justify a larger contract.

The service model carries the operational burden

Viabot sells Viabot One as a service rather than a piece of equipment. Viabot handles delivery, route mapping, maintenance, repairs, consumables and remote fleet monitoring. Customers empty a 65-gallon bin and occasionally wipe down the machine.

That arrangement lowers the buyer's upfront commitment while leaving Viabot responsible for uptime and field service. Hardware margins can disappear quickly when a robot needs frequent technician visits, replacement parts or manual intervention. The Series A gives Viabot capital to build the service operation required by its sales pitch, alongside the engineers developing the machines.

Viabot says it has expanded service to California, Florida, Indiana, Missouri, Nevada, North Carolina, Texas and Virginia. It describes its customers as Fortune 500 retailers, universities, real-estate owners, property managers, healthcare sites and utilities. Viabot has not published pricing, revenue, gross margins or retention figures.

Competition is forming around different approaches to the same labor-intensive property budget. In March, Charlotte-based Lucid Bots raised a $20 million Series B for exterior-cleaning drones and an autonomous pressure-washing robot. Knightscope and Asylon approach commercial properties through security. Viabot is using sweeping as its entry point, with monitoring attached to the same machine.

Viabot's scale metrics need sharper definitions

Viabot says Viabot One services 25 million square feet of commercial property. Square footage establishes geographic coverage, though it does not show how many robots are deployed, how densely they operate or how much revenue each site produces.

Its larger data figure is harder to parse. Thursday's announcement says Viabot's robotic intelligence was trained on more than 5 billion square feet of real-world multimodal data. Viabot's current homepage describes more than 5.1 billion square feet as having been cleaned. Those labels describe different concepts using nearly the same number.

Viabot's fundraising gives Ratanaphanyarat room to turn years of deployment work into a national operation. The test now moves from whether an autonomous machine can sweep a parking lot to whether Viabot can manufacture, monitor and maintain a growing fleet without letting service costs outrun subscription revenue.