Robot maker · registered
CleanRobotics
Computer-vision and machine-learning pipeline classifies waste items at the point of disposal; TrashBot Zero uses image-recognition at 95% accuracy to sort recyclable, landfill, and contaminated streams into separate internal bins without manual intervention; fleet monitored remotely via cloud dashboard.
Company overview
Identity and operating footprint
Robot models
Specifications remain vendor-claimed
TrashBot
- Sorts waste into 2 streams (recyclable vs. landfill) using computer vision and AI
vendor-stated primary waste diversion function for standard commercial deployment
Claim source - Fleet learning: cloud connectivity allows individual units to learn from the global TrashBot fleet
vendor-stated federated learning mechanism improving classification accuracy across deployed fleet
Claim source
TrashBot Slim
- 50% smaller footprint than original TrashBot; designed for small businesses
vendor-stated size reduction enabling deployment in space-constrained commercial locations
Claim source - 2-stream sorting (recycling and landfill) at lower price point than TrashBot Zero
vendor-stated sorting capability and relative pricing for SMB market
Claim source
TrashBot Zero
- 95% waste sortation accuracy
vendor-stated accuracy for identifying and diverting recyclable, landfill, and contaminated items at the point of disposal
Claim source - Sorts into up to 4 simultaneous waste streams (recycling, landfill, compost, contaminated)
vendor-stated number of waste categories sorted simultaneously, targeting stadiums, airports, and hospitals
Claim source
Deployment log
Announced and cited only
Funding history
Publicly announced rounds
Grant
U.S. Environmental Protection Agency
Round sourceSeries A
Longmont Evergreen Opportunity Fund, Melco International Development, SOSV, Undivided VC
Round sourceForm D
Investors undisclosed
Round sourceSeed
Round sourceCompany timeline
Milestones and announcements
Source ledger
8 unique public sources