Lucid Bots builds U.S-made robots for dirty, dangerous cleaning work. 

On a recent exterior cleaning job, Sherpa Drone stayed in the air for 1 hour and 53 seconds of continuous cleaning at 3,500 PSI and 8 GPM.

No battery swaps.
No landing every few passes.
Just steady exterior cleaning at height while the crew stayed on the ground.

Our CEO, Andrew Ashur, put it simply: this was the longest commercial drone cleaning flight we’ve ever seen – and a big step toward making drones a true all-day tool on real jobsites.

Why this flight matters

Until now, drone cleaning has been limited by batteries.

A typical day with Sherpa Drone looks like:

• Clean for 10–20 minutes
• Land
• Swap batteries
• Take off, line up again
• Repeat

It works, but you lose time and rhythm on every swap. Jobs get planned around chargers and packs instead of just buildings, water, and crew.

With our new power tether, that equation changes.

By feeding power from the ground, it gives Sherpa Drone effectively unlimited flight time: the practical limit on a job is no longer at the fault of the drone batteries. Limitations become things like crew endurance, site scheduling, generator fuel, etc. rather than remaining battery capacity. We’re not removing constraints entirely, but we are moving them off the drone’s batteries.

On this record flight, the drone didn’t come down because the battery was dead. It came down because the section of work was done.

That’s the shift we care about.

What actually happened on the job

This wasn’t a lab test or a parking-lot demo. It was a live exterior cleaning job with all the usual constraints.

On this flight:

• Mode: High-pressure exterior cleaning at height
• Runtime: 1 hour, 53 seconds of effectively continuous work
• Pressure / flow: 3,500 PSI, 8 GPM
• Crew: Operators stayed safely on the ground

Sherpa Drone handled every pass on the wall. The crew focused on:

• Managing hoses and water supply
• Watching for quality of clean
• Keeping eyes on the site, not on battery timers

Under the hood, we paired the power tether with updated onboard power electronics designed for long flights. From the operator’s point of view, though, it felt simple:

“It just stayed up and kept cleaning.”

That’s the experience we’re building toward.

What this unlocks for operators

For contractors, facility managers, and building service companies, this milestone shows up in a few concrete ways.

1. More work per crew per day
With no battery swaps, more of the day is actual cleaning. Sherpa Drone becomes an all-day workhorse for glass, facades, and other exterior surfaces at height.

2. Less time in lifts
Sherpa Drone does the work at height so crews can stay safely on the ground. That means:

• Fewer lifts to rent, move, and maintain
• Fewer people working on edges, roofs, or swing stages

3. Simpler planning
Instead of planning around chargers and packs, you plan around:

• Water
• Generator fuel
• Crew schedules

In other words, the things you already think about on a pressure washing job.

What’s next

This was Lucid’s first and longest exterior cleaning jobsite flight with the power tether. It’s a milestone, not the finish line.

From here, our team is focused on:

• Repeating long-duration flights on more buildings and surfaces
• Gathering real-world feedback from operators
• Making the power tether available to more Sherpa Drone customers

We automate the ordinary, so humans can do the extraordinary.

If you want fewer people in lifts and more work done from the ground, talk with our team about using Sherpa Drone with the power tether on your next job.

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A New Era of Autonomous Cleaning: Lavo AI

Lavo Bot AI brings enterprise-grade autonomy to one of the most demanding exterior maintenance tasks. Using Click-and-Clean™ job templates powered by Lucid OS™, operators can set up, save, and repeat complex cleaning routes with only a few taps, eliminating hours of manual prep work.

With advanced mapping, full-environment sensing, and powered by NVIDIA edge compute, Lavo Bot AI navigates real facilities with confidence and delivers consistent, high-quality cleaning at scale. This is autonomy designed for real job sites, not just controlled environments.

The system can clean up to 6,000 square feet per hour and integrates with commercial pressure washing rigs up to 20 GPM and 4,500 PSI. Early adopters are already seeing what it means to unlock more output without adding more headcount.

Why it matters

Facility teams are being asked to do more with fewer people as the United States janitorial and building maintenance market reaches ~$108B. Labor shortages continue to grow, service expectations are rising, and operators are under pressure to maintain cleaner, safer exterior environments while also reducing costs. Within this market, exterior surface cleaning alone represents $15 to $22B  dollars in recurring annual work, most of which is still performed manually.

Despite the size of the industry, autonomous systems account for well under one percent of all surface cleaning operations today. Most facilities rely on slow and physically demanding manual workflows that limit throughput and make scheduling unpredictable. Lavo Bot AI gives operators an immediate path to higher productivity, consistent quality, and more reliable service delivery. The robot augments crews rather than replacing them and allows existing teams to cover significantly more ground with far less strain, making exterior maintenance more scalable and cost effective.

How It Works

Lavo Bot AI uses the latest NVIDIA edge compute platform to power its autonomy, vision systems, and mapping intelligence. These capabilities allow the robot to move safely through real-world environments and produce enterprise-grade results.

Key capabilities include:

• Autonomy that lasts. Operators can save job areas and rerun them with precise route memory on a recurring schedule.
• Safety for active job sites. Multi-sensor vision systems and zone-based geofencing support safe operation around people and equipment.
• Purpose-built durability. The robot can handle long hose runs and challenging outdoor conditions including grime, gum, grease, and inconsistent surface textures.

Customer perspective

"You recover the investment in just a couple of months," said Francisco Oliveras, owner of PWR Wash PR. "With this approach, you can reduce operating expenses by 40% or more." 

Availability

Limited pilot programs begin this winter, with general availability planned for Q2 2026. Pre‑orders open today. Live demo events are scheduled for January. 

Reserve Yours Now

Schedule a Demo

NVIDIA just announced a milestone that signals more than progress — it signals a shift in history. Over 2 million robotics developers are now building on its platforms, from Isaac Sim for simulation to Jetson for edge AI computing. This isn’t just a developer count; it’s the early scaffolding of the next industrial revolution.

The first industrial revolution mechanized human labor. The second scaled it with electricity and assembly lines. The third digitized it with computing and the internet. Now, the fourth industrial revolution is physical again — driven by embodied AI and robotics that can perceive, decide, and act in the real world.

At Lucid Bots, we are building for this moment. Our focus is on developing robotic systems that take on dangerous, dirty, and time-intensive jobs and preserve human value. We’re pushing forward technologies that protect people while scaling efficiency — transforming how work gets done in the built world.

NVIDIA as the Backbone of the Revolution

For Lucid Bots, NVIDIA’s ecosystem is more than validation — it’s infrastructure.

• Isaac Sim provides photorealistic simulation environments where we maintain digital twins of our Lavo Bot robots and Sherpa Drones. We run software-in-the-loop (SITL) and hardware-in-the-loop (HIL) regression tests with stereo, RGB-D, LiDAR, and IMU sensor models. This tightens the sim-to-real loop and reduces risky, expensive field iterations.
  
  
• Isaac ROS GEMs are core to our autonomy stack. With Visual SLAM, our drones and ground robots gain a strong sense of position in real time even when GPS is weak or unavailable. For recurring missions, Map Localization enables a robot to recognize a site and align to a saved map within seconds. Together, these capabilities shorten deployment times, reduce operator workload, and ensure consistent, repeatable performance in tasks like high-precision surface cleaning, data capture, and inspection.
  
  
• Jetson edge compute powers real-time autonomy, enabling perception, obstacle avoidance, and sensor fusion directly onboard our robots.
  
  

Combined with a global community of 2M+ developers, this infrastructure accelerates R&D, de-risks deployment, and ensures Lucid Bots can move faster than the market.

The Market in Transition

We believe this revolution is already underway. Just as factories a century ago transformed productivity with machines, industries today will transform safety and efficiency with intelligent robots.

• Property and facilities management is a $1T+ global market, facing rising costs, labor shortages, and regulatory pressure.
• Legacy approaches — scaffolding, diesel light towers, and manual cleaning — are relics of the last era.
• Robotics doesn’t just replace these methods; it leapfrogs them, delivering safer, cleaner, and more cost-effective outcomes at scale.

Why Lucid Bots, Why Now

The industrial revolutions of the past favored companies that seized the moment when the right infrastructure converged with unmet demand. That’s exactly where we are today. NVIDIA’s milestone proves the infrastructure is here. The demand for safer, more efficient operations is only accelerating.

Lucid Bots is positioned at this intersection. Our systems are not science projects — they are field-tested, revenue-generating platforms, designed for immediate deployment at scale.

For investors and pioneers, the story is clear: the fourth industrial revolution is no longer on the horizon. We’re building it — and delivering it — now.

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