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Intelligence for the roads ahead.

MAARG Technologies builds AI and hardware systems for real-world infrastructure. Our first product, MAARG Intelligence, brings adaptive signals, emergency green corridors and incident awareness to Indian cities.

मार्ग maarg, n. — the path, the way

Maarg means path. We build the systems that keep a city's paths moving: signalsA traffic signal at night in Mumbaithat adapt, roadsAerial view of roads in Delhithat report what is happening on them, and hardware made for Indian streets.Mixed traffic in an Indore market at night

A technology company first. Traffic is where we start, because it is where the need is most visible.

An animated, simulated city road network with moving traffic and signals.

Simulated network

MAARG Intelligence

Our flagship product: a smart traffic infrastructure platform that brings signals, cameras, sensors, message boards and operators onto one system, so a city can see its roads clearly and respond in time.

  • Adaptive signals that retime themselves to the traffic in front of them
  • Green corridors that clear the way for ambulances and emergency vehicles
  • Real-time detection of congestion, slow traffic and road incidents
  • Commuter information on message boards, apps and navigation services
  • Camera-based detection of red-light, speeding, helmet and other violations
  • One command-and-control platform, built on open standards and APIs
See how it works

Indian roads don't follow a timetable.

Buses, cars, autos, two-wheelers and pedestrians share the same junction, and demand changes by the minute. Signals on fixed timers can't see any of it. MAARG Intelligence is designed to.

What changes with adaptive control
Banashankari junction, Bengaluru. Footage: Gpkp, CC BY-SA 4.0, via Wikimedia Commons

What we build

Software, hardware and the engineering that joins them. These are the disciplines behind MAARG Intelligence, and the base for what comes next.

Commuter information

Message boards, apps and navigation feeds

Evening traffic in Connaught Place, New Delhi

Computer vision

Detection and tracking tuned for mixed Indian traffic

Edge hardware

Controllers and sensors at the junction

Signal engineering

Phase plans that respond to demand

Open APIs

Standards-based, so systems can connect

Mobile

A commuter app, or inside the maps people already use

Resilient infrastructure

Data centre with disaster recovery

Applied AI

Models that forecast and flag, with people in charge

How a project moves

  1. UnderstandFirst, we study the site: its junctions, its traffic and the people who run it.
  2. ModelThen we simulate the network and test signal plans before touching a single pole.
  3. PilotNext, a live corridor, measured against how it performed before.
  4. ScaleFinally, city-wide rollout on one platform, with operators trained to run it.
Light trails from evening traffic on a wide Delhi road

Every evening, millions of journeys share a few thousand junctions.

Delhi at night. Photo: Gabriele Giuseppini, CC BY 3.0, via Wikimedia Commons

Tell us where your city gets stuck.

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