Smart Cities
Urban intelligence that respects privacy and scale.
Cities need perception and forecasting that work across intersections, transit corridors, utilities, and emergency response — without turning public spaces into uncontrolled surveillance. Zansoc builds city-scale vision and multi-agent coordination systems with privacy controls, edge inference, and governance hooks designed for municipal operators.
Traffic Perception
Multi-camera understanding of flow, incidents, and multimodal transport.
Infrastructure Health
Bridge, road, and utility monitoring from video and IoT.
Emergency Coordination
Agent workflows that fuse 911, camera, and sensor context.
Privacy by Design
On-device redaction, retention policies, and audit trails.
Seeing the city without owning the citizen
Urban AI must answer operational questions — congestion, safety, asset condition — while minimizing identifiable data. Our pipelines default to edge processing: count, classify, and detect events locally; transmit only aggregates or redacted clips when policy allows. Retention windows, purpose limitation, and role-based access are first-class configuration, not afterthoughts bolted onto a generic CV stack.
Multi-agency coordination
A traffic incident involves police, EMS, transit, and public works. Zansoc agent platforms orchestrate shared situational awareness: map-grounded summaries, recommended diversions, and escalation paths that respect each agency’s authority. Models are evaluated not only on detection accuracy but on whether operators act faster with less cognitive load.
Infrastructure that lasts decades
City systems outlive any single model generation. We design for hardware refresh, camera remounting, and policy change — with calibration services, versioned model packs, and simulation environments that let cities rehearse major events before they happen.