Watching · DROWSINESS
On the road to Mobility Nirvana

The road to Zero Criticality is not a straight line. It’s a loop. The road to Zero Criticality is not a straight line. It’s a loop.

Every trip feeds the model. Every alert teaches it. Six billion kilometres of real Indian road, deployed across fleets, OEMs, insurers and cities.

0Kilometres · and counting
92%AI detection
7,000+Drivers
15+Patents

Tonight, somewhere in India,
a truck leaves a depot.

Twenty unique AI alerts · 92% accuracy: what the night can throw
Something is riding in the cabin with him.

It’s a dashcam.

It’s a telematics box.

It’s a camera that films the blame.

It’s the intelligence layer
between you and Zero Criticality.
It fires before the accident, not after.

Six billion kilometres of real Indian road. Twenty alerts. Ninety-two percent. Every trip feeds the model; every alert teaches it.

23:55 · A phone glance. A word from the cabin. He puts it down. What the two lenses see, annotated live

Somewhere past midnight, the cabin goes quiet.

Eyes closing · PERCLOS

When a driver starts to fall asleep at 3am on a national highway, the alert fires in the cabin before the vehicle drifts.

Not after. Before.

We don’t fight the driver. A buddy in the cabin. It learns how he drives, tunes each alert to him, and coaches him over 6 to 8 months.

It caught him at 03:04. Now it’s watching you.

Your turn in the cabin.

Keep your eyes (your cursor) on the road. The machine does the rest.Your eyes are on the road. The machine does the rest.

The road
You
Watching
A demonstration. The unit reads eyes, not cursors
The machine that spoke, examined

Ananth.

01 · Optics

Two cameras, one box.

Front: 110 degrees of road. In-cabin: 160 degrees of driver. 2MP each, watching at once.

02 · Infrared

Mono IR & RGB IR.

Night, sun glare, spectacles. The cabin stays readable in every light there is.

03 · Link

4G LTE · eSIM.

GNSS and IMU aboard. The trip leaves the unit on its own: no phone, no pairing.

04 · Edge AI compute

ARM Cortex A55, quad core.

The decision happens here, on the unit. No cloud round trip. The alert fires in milliseconds.

05 · Voice

Speaker & mic.

The alert is a voice in the cabin. Cloud-to-device telephony when the fleet needs a word.

Passenger cars · Trucks · Commercial vehicles As filed: ARAIVEL/2024-2025/DT/30000038750/1382 · ADAS0007-2
Scroll to inspect ↓
Ananth, the sealed dual-camera ADAS-DMS unit, examined region by region
The alert that just fired is already teaching the loop.

A loop that never ends. A model that never stops.

01 · Data ingestion

Every trip is a lesson.

Driver behaviour, road conditions and risk events: city, highway, rural. Including the conditions foreign AI models fail on.

02 · Edge AI

The alert fires before the drift.

On-device inference: no cloud latency for critical alerts. 20 AI events at 92% accuracy.

03 · Augmentation

The system talks. The driver responds.

Voice alerts in the moment, not post-trip reports. Human judgment, amplified.

04 · Improvement

The loop continues forever.

Outcomes feed back. Fleet-wide patterns sharpen predictions. Every kilometre makes the next alert more precise.

Every trip makes the intelligence stronger.

One loop · four verticals

Built for the people who move the world.

The same night, the same loop is riding in other cabins: fleets, OEMs, insurers, cities. Each with their own risk, each feeding the same loop.

Inside the cabin · live
Voice alerts this drive0
01ADAS + DOPE

Fleet operators & logistics.

The accident that didn’t happen is the one we helped you prevent.

Real-time driver behaviour intelligence that intervenes before the incident, not after the report.

72%
Fleet risk reduction
Explore fleet safety →
Six eyes · one box
Forward Collision Warning A car ahead is closing. The AI counts down to impact and fires first.
02ADAS-DMS suite

Auto OEMs & Tier-1.

Beyond compliance. Into intelligence.

Pre-compliant, single-box hardware with L2+ ADAS, so your vehicles ship ready without building the AI from scratch.

18mo
Faster to market
Explore OEM compliance →
The gap · live
The file What underwriting sees. Events flash on the road and never reach the chart.
03Risk intelligence + API

Insurance.

Stop pricing yesterday’s risk. Start seeing tomorrow’s.

Real-time, per-driver, per-trip behavioural risk intelligence. Observed risk, not assumed risk.

The corridor · from above
The live layer Every trip repaints the road. Fleet vehicles record; the rest just drive.
04Road intelligence API

Smart cities.

Your roads carry millions of decisions. We help you make better ones.

Fleet-derived road intelligence: live incident patterns, high-risk corridors, infrastructure stress.

One save is an anecdote · the loop is already working

This is the field.

83%

less drowsiness at the wheel

Within the first 6 to 8 months of deployment
72%

overall fleet risk, down

Measured across every vehicle we serve
86%

JRM compliance on voice alerts alone

Zero human intervention
62%

less phone use while driving

Coached, not policed
69%

fewer drivers ever reaching severe drowsiness

The alert fires before the state
01 / 05
06:30 · KM 470 · Arrived

The accident that didn’t happen is the one we helped you prevent.

In their words
“The system has changed how our drivers think about risk. They don’t feel judged. They feel supported. That’s the difference.”
Naman Dalmia Dalmia Transport & Logistics · Cement fleet, Kanpur
“We don’t want to fight with the driver. The system will talk to you. You listen to the voice commands and react. Our approach is more human.”
Nisarg Pandya Founder & CEO · drivebuddyAI
Witnessed

CES 2026, Las Vegas · EURO NCAP 2026, IDIADA · MyEicher, Volvo Eicher

All press & validations →
Start the loop

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Response within 24 hours

We confirm your slot and understand your situation before the call.

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Tailored to your industry

Fleet, insurance, OEM or city. The walkthrough uses data from your world.

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Live platform, real fleet data

No slides. The DOPE Command Centre, live, with real AI event footage.

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No commitment

A conversation, not a pitch. We want to understand your situation first.