Lucid Bots is turning exterior cleaning hardware into a subscription maintenance layer

Lucid Bots raised a 20 million dollar Series B on March 25, 2026, co-led by Cubit Capital and Idea Fund Partners. The financing brings total funding to 34 million dollars and targets the expansion of commercial operations, domestic manufacturing, and the Lucid Refresh subscription package across an operator network that has completed over 75 million dollars in exterior cleaning jobs with nearly 1,000 deployed robots.

The Refresh Subscription Architecture

Lucid Refresh converts hardware, software, and support into a subscription package for exterior cleaning companies starting at 2,500 dollars per month. The single package covers the Sherpa cleaning drone, Lavo AI autonomous pressure-washing robot, Lucid Command fleet-management software, job intelligence, operator training, automatic hardware upgrades every two years, and an equipment loaner guarantee. Lucid maintains 400 active commercial cleaning drone operators across more than 40 U.S. states, spanning independent operators, commercial facilities managers, Disney, and Sunbelt Rentals.

Sherpa And Lavo AI Nodes

Sherpa serves as the aerial cleaning node in the Lucid exterior maintenance system. The drone connects to ground-based equipment to support soft washing at flow rates up to 12 GPM at 300 psi or pressure washing up to 4,500 psi. The aircraft covers over 300 square feet per minute, operates for up to 19 minutes per flight, and requires FAA Part 107 certification for commercial use. It is available as a 75,000 dollar full package including the aircraft, controller, swappable parts, nozzle, repair kit, hard travel case, and batteries, supported by a three-day in-person training pipeline and online Sherpa Academy instruction.

Lavo AI functions as the ground-cleaning node for large-format outdoor surfaces, targeting warehouses, airports, convention centers, manufacturing facilities, gas stations, and retail environments. Integrated with NVIDIA edge compute, the robot uses multi-sensor vision, advanced mapping, and zone-based safety to define and save cleaning areas in under five minutes for repeatable Click-and-Clean job templates. The system supports pressure-wash rigs up to 20 GPM and 4,500 psi, achieving cleaning rates up to 6,000 square feet per hour.

Core Software And Payload Integration

Lucid OS operates across both Sherpa and Lavo platforms as a shared autonomy and fleet layer. The software executes real-time SLAM, obstacle avoidance, edge processing with cloud synchronization, sensor fusion, and over-the-air learning updates. In July 2024, Lucid acquired Avianna, adding natural-language autonomy software that enables operators to control both hardware platforms through voice and chat interfaces.

Beyond baseline surface cleaning, the hardware frames accommodate modular payload swaps. Published configurations include soft-wash and pressure-wash spray heads with detergent injection, paint and coatings sprayers, sealant and wet-cure tools, illumination payloads, agricultural spray nozzles, delivery pods, and inspection sensors featuring RGB zoom, thermal, and LiDAR slice options.

The Charlotte Manufacturing Footprint

Andrew Ashur is Founder and Chief Executive Officer, and Victorio Pellicano is President and Chief Platform Officer of Lucid Bots, which was founded in 2018. The company employs approximately 70 people and engineers, manufactures, and supports its fleet domestically from a 25,000-square-foot facility in Charlotte, North Carolina.

Maturity

Lucid has public record disclosures covering Series B funding, total capital raised, operator revenue, robot deployment count, named product lines, the Lucid Refresh subscription structure, Sherpa and Lavo operating specifications, Lucid OS software functions, Avianna acquisition timing, and its Charlotte manufacturing footprint. Public material does not show customer-level retention, fleet availability, site-level expansion, production cadence, unit economics by subscription cohort, or measured field performance across each robot type.

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