An AI-driven traffic coordination platform that continuously optimizes signal networks across Indian cities to reduce congestion, delays and operational inefficiencies in real time.
We are building indigenous AI-driven traffic coordination systems engineered specifically for India's mixed, non-lane-based traffic realities. Our platform integrates multi-layer data fusion—metro schedules, mobility patterns, curb activity, and probe feeds—to enable predictive corridor synchronization that anticipates congestion before it forms.
By combining infrastructure intelligence with behavior-aware modeling, we deliver reduced delay, faster emergency response, and data-driven governance for coordinated urban mobility. Our systems diagnose structural bottlenecks, orchestrate curb resources, and maintain optimized corridor flow across entire networks.
Designed in India. Built for India's traffic realities.
Most systems depend only on loops or cameras without multi-source intelligence.
Models perform poorly in mixed, chaotic, non-lane-based conditions.
No understanding of illegal parking, pickup spillover, or human non-compliance.
No integration of metro discharge, ride-hailing demand, or first-mile impact.
Traditional traffic systems respond to congestion after it happens. Our AI anticipates, coordinates, and orchestrates traffic flow before bottlenecks form—transforming cities into intelligent networks.

Our AI doesn't just react to traffic—it anticipates movement patterns before vehicles even start moving.

Seamlessly integrates metro schedules, ride-share patterns, curb activity, and real-time probe data into one predictive model.

Treats the curb as a live, dynamic resource, coordinating pickups and drop-offs to maintain traffic flow continuity.

Goes beyond optimization to diagnose underlying infrastructure flaws that create bottlenecks and capacity constraints.

Combines AI intelligence with operator expertise, ensuring every decision is validated and deployments remain safe and accountable.

Synchronizes signals across entire corridors, not just individual intersections, creating seamless green waves that reduce stops.
Real OpenStreetMap road data rendered in 3D. Click a city or marker to explore its traffic network.
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Road Type
Live Traffic Data
Junctions
312
Delay Reduction
31%
Incidents
7
Avg Speed
28 km/h
Network Breakdown
AI Signal Sync
Real-time optimization active
Quick Jump
Interactive planner and road network demo (FEATURE-2)
Users simply message Tram.AI — get live traffic, metro navigation, event alerts and a full travel itinerary.
How it works
Instant Query
Text any destination or event. No app installs, just standard WhatsApp.
Contextual AI
Groq Llama 3 models instantly process live traffic, weather, and venue events.
Rapid Analysis
Mappls API computes the fastest multi-modal routes in under 2 seconds.
Smart Itinerary
Actionable travel advice, road vs metro comparisons, and direct navigation links.
Tram.AI WhatsApp Bot
Proactive Alerts
Tram.AI on WhatsApp
Proactive traffic alerts · Pune
FC Road → Shivajinagar
Congestion: 84/100 · Mappls live · Avoid cab — 40 min delay
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Enter a venue name to get event context, traffic prediction, weather and live traffic.
Unified analytics and performance monitoring across major urban corridors and signal networks.