DhiAI’s distributed GPU edge network powers the intelligence layer of India’s smart cities — from traffic signal optimisation and air quality monitoring to connected public safety infrastructure.
Edge AI applications
Smart city applications demand real-time decisions and local data sovereignty. DhiAI’s distributed edge GPU network delivers both — at city scale.
AI analyses live camera feeds to dynamically adjust signal timings, detect incidents, and reroute traffic in real time. Processing at the edge means ultra-low latency decisions — no cloud round-trip.
Fuse IoT sensor streams with satellite imagery using edge AI to track AQI, water quality, noise pollution, and urban heat islands. Flag anomalies instantly for municipal response teams.
Real-time crowd analytics, incident detection, and anomaly alerting on CCTV networks — with all biometric and video data processed locally. Sovereign AI that respects citizens’ privacy rights under DPDP.
AI-driven demand forecasting and fault detection for electricity distribution networks, water pipelines, and waste management. Predict and prevent failures before they impact citizens.
Build real-time 3D digital twins of urban areas for infrastructure planning, disaster simulation, and zoning analysis — running on DhiAI’s GPU nodes inside city data centres.
AI-powered intake, triage, and routing for citizen complaints and service requests across channels — phone, web, WhatsApp — in any Indian language. All processing stays within city infrastructure.
Infrastructure for smart cities
DhiAI’s architecture puts GPU compute where decisions need to happen — at the edge, inside your city’s perimeter.
Compact, ruggedised GPU compute deployed inside city data centres or district offices. Process camera feeds, sensor streams, and AI models within city limits.
Core InfrastructureLow-latency vision and analytics APIs for traffic cameras, sensors, and IoT devices. Millisecond response times for time-critical safety applications.
Real-timeAll citizen data, camera footage, and sensor readings stay within city infrastructure. Air-gappable architecture for maximum data control under DPDP Act 2023.
Sovereign & CompliantWhy DhiAI for Smart Cities
Smart city AI demands aren’t met by cloud-only providers. Real-time decisions, citizen privacy, and data sovereignty require a different architecture.
DhiAI GPU nodes are physically deployed within city infrastructure — not in distant data centres. Camera streams never leave city networks, eliminating latency and sovereignty risks.
Traffic signals, safety alerts, and infrastructure controls require immediate decisions. Edge processing eliminates the 100-200ms cloud round-trip that makes real-time AI impossible.
CCTV and biometric data processed at the edge never crosses city boundaries. DPDP Act 2023 compliance is achieved through architecture, not just policy.
Edge nodes operate autonomously when internet connectivity is degraded — critical for disaster response, rural districts, and network outages.
DhiAI’s APIs integrate with Integrated Command and Control Centre platforms used across Smart Cities Mission projects — no proprietary lock-in.
Start with one use case — traffic or environment — and add new capabilities incrementally. DhiAI’s edge mesh scales from a single district to an entire metropolitan area.
DhiAI’s team works with Smart Cities Mission projects, municipal corporations, and infrastructure integrators. Let’s architect the AI layer for your city together.