1. Digital facade intelligence
Every building begins with a digital twin. We model panel geometry, grime accumulation zones, wind corridors, and restricted access areas before any deployment starts.
Our Method
How we reimagined window cleaning for commercial buildings.
We moved window cleaning from manual, weather-sensitive work into a data-driven robotics operation with repeatable quality, safer workflows, and measurable performance targets.
2. AI-first cleaning orchestration
Route planning adapts in real time using weather feeds, occupancy windows, and suction performance telemetry. The system schedules each robot at its highest-efficiency operating window.
3. Robotic execution and verification
Multi-sensor units track edge proximity, pressure consistency, and water usage. Post-clean scans verify coverage and trigger instant micro-correction passes.
Transformation Impact
Legacy process vs ThrawgerAI model
Legacy Process
- High dependence on manual climbing teams
- Limited operational visibility
- Variable cleaning quality by shift
- Reactive maintenance and staffing
ThrawgerAI Model
- AI-routed robotic cleaning fleet
- Live dashboard with audit-ready logs
- Predictable cleaning quality and coverage
- Predictive maintenance and uptime planning
See a tailored reimagining plan for your building portfolio.
Share your site details and we will map a deployment strategy with measurable ROI milestones.
Request Strategy Session