Scan. Collect. Reward. Trace.
AI-powered e-waste collection and rewards — live in Uganda, built for emerging markets.
The World Is Drowning in E-Waste
62M Tonnes Annually
Global e-waste generated every year — the fastest-growing waste stream on Earth.
Less Than 20% Recycled
Formal collection infrastructure is missing across Africa and other emerging markets.
No Citizen Incentive
People have zero motivation to recycle correctly — no rewards, no tracking, no engagement.
No AI Tracing System
No end-to-end visibility from collection to disposition — compliance is impossible to prove.
Source: Global E-waste Monitor 2024, UNITAR/ITU.
Our Solution
RewardXperience, our Flutter app for CleanTechAI, turns every e-waste deposit into a verified, traceable, rewarded transaction.
Smart Bin
Custom-designed collection bin, QR-activated and AI-verified from first deployment.
QR Scan
User scans the bin's QR code with the RewardXperience app — instant identification and logging.
AI Verify
Google Gemini AI verifies the deposit, categorises the waste, and traces its journey end-to-end.
Earn Rewards
Points are credited instantly to a digital wallet, redeemable for merchant vouchers.
ESG Report
Verified deposit data feeds automated compliance reporting for corporate and government partners.
Built on: Go Lang Backend · Flutter App · Google Gemini AI
Live in Uganda
Not a concept, not a pilot — RewardXperience is live and processing real transactions today, in partnership with VAS Uganda and Uganda's Communications Commission (UCC).
200+
Active users onboarded
20
Smart bins installed and monitored
PPP
Government partnership with Uganda's UCC
Live
Fully in production, not a prototype
RAG-AI: The Reporting Engine
Retrieval-Augmented Generation (RAG) grounds every environmental impact report in real, current source documents — national policy filings, ESG standards, and reporting templates — instead of relying on an AI model's memory alone. Every figure in a RAG-generated report can be traced back to the exact document it came from.
First use case: automated e-waste impact reporting. Every deposit RewardXperience verifies today becomes the underlying data for tomorrow's automated ESG and compliance reports — for corporate clients, governments, and internal audits. Human review remains part of the process by design; RAG-AI removes the manual assembly work, not the accountability for what gets submitted.
On the roadmap: carbon credit mapping · multilingual reporting (English, Arabic, Swahili) · more use cases beyond waste reporting
Partner With CleanTechAI
Interested in bringing RewardXperience to your city, region, or organisation?
Get in Touch