Verified by CE-CONNECTSeed Stage
ECO-SYNC AI.
Revolutionizing urban waste management through decentralized edge computing and real-time sensor networks.
Project Simulation
The Vision
Most urban areas still rely on static pickup schedules, leading to overflow or unnecessary trips. Eco-Sync AI solves this by deploying low-cost, long-range (LoRa) sensors to every disposal point, processed via a decentralized AI node that optimizes routes in real-time.
System Architecture
Edge Computing
On-device processing reduces data latency by 90%.
Dynamic Routing
Neural network optimized for vehicle fuel efficiency.
Current Roadmap
MVP Validation
Deployment in 2 local university zones.
V1.0 Scale
Expanding to municipal district Alpha.
Market Exit / Series A
Quick Stats
Quality Score
9.2Team Size
4 Foundry MembersFounded
OCT 2025The Founders
AR
Alex Rivera
CTO / AI Architect • Stanford
JC
Jordan Chen
Operations Lead • MIT