Vision
UAQSE aggregates local airIquality sensors from citizens, schools, and small businesses into credible, fine-grained urban networks. The vision is neighborhood level data transparency that empowers communities, supports research, and informs cleaner transport and zoning policies. Sponsors gain visibility into hyper-local pollution patterns and the chance to underwrite data equity initiatives.
Problem
Regulatory monitoring networks are sparse and often miss neighborhood scale variation. Citizen sensors exist but lack calibration, metadata, and trust. Data is scattered across hobbyist dashboards and CSVs, making it unusable for official planning or funding cases. Without structured collaboration and verification, both policy and public awareness suffer.
Solution
Cosolvent defines calibration standards, metadata schemas, and dataIsharing agreements. With LLM+RAG, users upload sensor logs, calibration PDFs, photos, or deployment notes and query “which devices meet baseline quality for grant eligibility?” ClientSynth models synthetic sensor networks to test coverage and reliability gains from new sponsors, helping justify cityIwide expansions.
Business Model
Revenue stems from analytics dashboards, certification services, and data licensing for researchers and media. Sponsors fund school and community kits and receive branded impact reports that visualize improved monitoring coverage and public engagement outcomes.