Uneven coverage
Traditional networks are expensive to install and maintain, leaving some districts over-monitored while others stay invisible.
FinEst Centre Pilot Programme
TayuTech equips buses, waste trucks and municipal fleets with modular AI-powered sensors — turning everyday routes into a living map of air quality, road safety and infrastructure health.
The Challenge
Traditional networks are expensive to install and maintain, leaving some districts over-monitored while others stay invisible.
Static systems often produce inconsistent formats and siloed datasets that are hard to share across departments.
Manual inspections and delayed reporting mean cities react to problems instead of preventing them.
The Solution
Each TayuTech unit mounts on vehicles already serving your city. Cameras, air quality monitors and environmental sensors can be swapped to match local priorities — no new fleet required.
Key Benefits
Detect damaged or missing traffic signs and hazardous road conditions before incidents occur.
Track air quality and allergen levels block-by-block to inform public health strategies.
Map potholes and surface defects early — fix infrastructure proactively, not reactively.
Reuse existing municipal vehicles instead of deploying thousands of fixed sensor poles.
Pilot Cities
Tallinn, Dublin and Pula are testing TayuTech in live traffic with research partners from TalTech, DCU and CONNECT.
Detect damaged or missing signs to improve safety and support future autonomous mobility.
Hyperlocal environmental monitoring across Dún Laoghaire-Rathdown and Fingal for healthier urban policy.
Identify defects and prioritize repairs for smoother rides and smarter maintenance budgets.
TayuTech Portal
Visualize sensor streams on interactive maps, compare districts over time, and export datasets for research — all from a secure web platform designed for municipal teams.
Get Involved
Cities can join as future pilot sites. Technology partners can develop new sensor modules. Researchers gain access to rich urban mobility and environment datasets.