Most commercial cleaning robots are, underneath the branding, floor scrubbers. They roll, they map, they mop, and they stop at the threshold of the one room nobody wants to clean by hand. Hivebotics built a robot that goes inside.
The Singapore company said on Friday, September 4, that it had closed a US$6 million Series A led by Vertex Ventures Southeast Asia & India, with participation from Fareast Land Development, part of Taiwan's Farglory Group, and Rigel, an Asian maker of smart restroom products. The capital funds volume production of Abluo, the company's restroom-cleaning robot, an expanded distributor network across four core markets, and further work on HiveIntelligence, the AI layer that decides how each job gets done.
Abluo is a mobile robot with an articulated arm, and the arm is the entire argument. Where existing machines handle floors, Abluo cleans the fixtures too: toilets, urinals, sinks and floors in a single cycle. It works without contact, sequencing high-pressure steam, a targeted chemical jet, vacuum extraction and blow-drying so that no surface is physically wiped and then wiped again somewhere else. Onboard cameras identify each fixture, the software generates the cleaning route in real time rather than replaying a fixed path, and every job is scored with a before-and-after check that a facility manager can audit.
Ten thousand hours in real buildings
That audit trail is the commercial pitch as much as the hardware is. Abluo has logged roughly 10,000 operating hours over the past twelve months across more than 20 sites in Asia, Europe, the Middle East and North America, including hospitals, airport terminals and shopping malls. Hivebotics' claim is not that the robot is fast; it is that it is identical every time. The company says a cycle converts about 30 minutes of manual cleaning into a five-minute human inspection.
The current Mark 1 covers eight to twelve bathrooms on a four-to-six-hour runtime. A Mark 2 introduced this year adds 3D SLAM navigation with LiDAR, swappable batteries with optional autonomous docking, six cleaning modes including 173-degree-Celsius steam sanitation, and a six-degree-of-freedom arm the company specs at 0.02mm repeatability.
Hivebotics is a 2021 spinout from the National University of Singapore, founded by chief executive Rishab Patwari and Nguyen Tuan Dung, who took temporary cleaning jobs in hotels, shopping centres and on campus before designing anything. Abluo launched commercially in 2024.
"Within three years, teams of robots will do most of the repetitive, labour-intensive work of running a facility," Patwari said. "We started with restrooms because they are the hardest: wet, cramped and full of moving parts."
Why the arm is the hard part
He is not being modest. In service robotics, navigation is a solved-enough problem and manipulation is not, and the gap between them is why a $6 million Series A for a toilet-cleaning robot is more interesting than the sum suggests.
A floor scrubber works in two dimensions against forgiving tolerances: three centimetres off, and the floor still gets clean. An arm working under a toilet rim works in six, against porcelain that chips, plumbing that varies by manufacturer, and geometry it cannot fully see. Contact forces must be controlled, not just positions, and the failure modes are expensive. A scrubber that misjudges leaves a streak; an arm that misjudges breaks a fixture or itself. Restrooms are also the worst possible sensing environment: wet floors that degrade odometry, steam that fogs cameras, reflective surfaces that confuse depth estimation, and stall doors that move.
The non-contact approach dodges some of this. Steam and chemical jets work at a short standoff distance, relaxing the precision the arm needs and removing the cross-contamination risk of cloth-and-mop cleaning. It trades mechanical difficulty for plumbing, consumables and thermal management, which are easier problems.
The demographics are doing the selling
The economics are more legible than the robotics. "Restroom cleaning is one of the few labour markets where demand is non-discretionary and supply keeps tightening," said Chan Yip Pang, executive director of investment at Vertex Ventures Southeast Asia & India. Janitorial turnover runs 200 to 400 percent annually by Kimberly-Clark's estimate.
In Singapore, the squeeze is written into statute. The Progressive Wage Model sets a floor of S$1,910 a month for an entry-level commercial cleaner as of July 2025, climbing by statute to S$2,080 in 2026 and S$2,420 by 2028, roughly 54 percent above the 2023 level, plus a mandatory two-week bonus. Foreign hires are capped by a 35 percent dependency ratio ceiling in services and carry monthly levies of S$300 to S$800. Singapore's cleaning sector turned over about S$3.6 billion in 2024 and kept an operating surplus near 2.4 percent, having posted an outright loss in 2022. Contractors cannot bid their way out; every competitor pays the same floor.
That is the structural case for automation in Asian service work, and it repeats across Japan, Korea and Taiwan, which is presumably why a Taiwanese property developer is on the cap table. Hivebotics markets Abluo as robot-as-a-service, publishing an ROI calculator rather than a sticker price. That is the right instinct: a subscription lands in a facility manager's opex line next to a headcount they cannot fill, rather than in a capex request they will lose. The company puts the soft facilities management market at US$770 billion in 2024, growing toward US$1.2 trillion by 2033.
What to watch
Three things. First, whether volume production holds unit economics: arms with 0.02mm repeatability are expensive, and RaaS margins live or die on service calls per robot per year. Second, the distributor strategy. Four core markets is a deliberately narrow bet, and channel partners rather than direct sales is how a small hardware company either scales or loses control of its install base. Third, the fixture problem. Twenty sites is a pilot fleet, restrooms differ enormously across geographies, and the generalisation question, whether HiveIntelligence can handle a fixture it has never seen, decides whether Abluo becomes infrastructure or stays a very good demo.
“Within three years, teams of robots will do most of the repetitive, labour-intensive work of running a facility. We started with restrooms because they are the hardest: wet, cramped and full of moving parts.”— Rishab Patwari, Co-founder and CEO, Hivebotics