GCC conditions
• Coastal salinity, dust, and dew build up on insulators and hardware, creating conductive films.
• Result: rising leakage currents, flashovers, unplanned outages, and accelerated aging.
• Utilities face frequent washes, high O&M, water constraints, and safety exposures.
Conventional cleaning
• Manual crews, boom trucks, and helicopters are slow, hazardous, and water-intensive.
• Often require outages, add truck time and CO2, and struggle in remote spans and rugged terrain.
• Results: higher O&M costs, safety risks, and inconsistent cleaning quality.
Robotic multirotor platform washes and inspects live lines—no shutdowns required.
Delivered as an OPEX service with a 2-person crew; no heavy utility CAPEX.
We clean only soiled units identified by onboard AI, typically saving ~40–50% deionized water vs. conventional approaches.
Supports GCC water-scarcity and ESG goals.
HD, thermal, and UV imaging before\/after every wash, with evidence stored in the cloud.
Feeds reliability KPIs and predictive maintenance workflows.
• Live-line safety: insulated nozzle, standoff distance, HV safety logic, and return-to-home/arc alarms.
• Lower OPEX: fewer crews, less truck time, no outages, and data-driven planning.
• Water-light and ESG-aligned: up to ~50% less DI water via AI-targeted cleaning—built for GCC water scarcity and CO2 reduction.
• Remote mobility: 2-person ground crew; no heavy trucks; reaches remote spans and rugged terrain.
• Data-driven asset management: every mission logs cleaning and inspection data, asset IDs, and GIS integration to support predictive maintenance and optimized wash cycles.
Import grid/GIS data; consider wind, no-fly zones, and optimize routes.
Live-line washing using an HV-safe jet and modular fluid system.
AI-supported visual, thermal, and UV imaging; confirm live-line safety margins.
Mission logs, reliability KPIs, water use, and export to CMMS/SCADA/GIS.
• Airframe: industrial multirotor with hot-swap batteries and weather-resistant design.
• Fluid system: modular DI water tank, high-pressure pump, HV-safe insulated nozzle.
• Perception: GNSS/RTK, altimeter, stereo/AI camera, and HD / thermal / UV payload.
• Compute and control: edge AI, geofencing, and arc-proximity alarms.
• Communications: encrypted link, LTE/5G support, and offline mission logging.
GCC utilities invest heavily in grid O&M amid severe insulator contamination driven by coastal salinity, sandstorms, and extreme desert conditions. Reliability, water conservation, and decarbonization priorities make live-line, water-light, AI-driven services highly attractive.
• Annual spend in the region runs into hundreds of millions of USD, with contamination a leading cause of flashovers and outages.
• Strong policy and ecosystem support (e.g., Abu Dhabi’s Hub71, Qatar’s QSTP) favor innovative, ESG-aligned grid services.
• Our service reduces water use and truck time while boosting reliability KPIs — delivering fast, measurable impact.
We operate as an inspection-and-washing service provider, charging per insulator, per span, or via annual maintenance contracts. No heavy CAPEX for utilities.
Future SaaS: predictive cleaning analytics and reliability dashboards built on mission data.
Bridge revenue: the same platform can deliver drone-based facade washing for commercial and municipal buildings during early phases.
Phase 1 (2026, 4–6 months): manual / remote-guided drone washing; first paid utility contracts and PoC.
Phase 2 (2026–2028, ~18 months): semi-intelligent model with operator approval loop; multiple GCC pilots, certifications, increasing autonomy.
Phase 3 (from 2028): supervised autonomy at scale; regional hubs in Qatar and UAE; 5–7 recurring utility O&M contracts.
Robotics and AI background; UAV design, industrial automation, and business development. Operator mindset from prototype to pilot contracts with GCC utilities.
Mechanical and robotics engineer with deep experience in payloads, precision mechanisms, 3D-printed assemblies, and field-ready mechatronics.
Get in touch:
Email: [email protected] (placeholder)
Phone: +98 913 388 9556 (placeholder)
LinkedIn: linkedin.com\/company\/rayan-robotics (placeholder)
Open to relocating to Abu Dhabi or Doha to accelerate execution with local partners.