On the road to Mobility Nirvana
The road to Zero Criticality is not a straight line. It’s a loop.
Trained on 4 billion kilometres of real Indian road data. Every trip feeds the model. Every alert teaches it.
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Kilometres
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AI Detection
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Drivers
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Patents
Detecting Drowsiness
01
The Premise
This is not a dashcam. Not a telematics reseller. It is the intelligence layer between mobility and Zero Criticality.
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The Intelligence Layer
drivebuddyAI is a continuous learning AI platform.
Trained on 4 billion kilometres of real Indian road data. Deployed across fleets, OEMs, insurers, and cities. Every trip feeds the model. Every alert teaches it.
Read the full Path →
Ananth · Dual camera ADAS · single box
Trusted across the loop — fleets · OEMs · insurers
02
Numbers behind the mission
Our Path to Nirvana
Six proofs. One thesis.
Kilometres
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Real-world Indian road data.
City, highway, rural. And counting.
Drivers
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The dataset foreign AI lacks.
Turbans, spectacles, sun glare, day and night. Conditions foreign AI fails on.
AI Detection
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Validated by ARAI and IDIADA.
20 unique alert events.
Compliance
AIS · EU · NCAP
The world’s most rigorous standards.
AIS184, EU2144, NCAP 2026.
Patents
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On ADAS-DMS and AI perception.
Built from scratch.
Markets
4 Regions
India · Europe · USA · Australia.
Via Roadzen’s global network.
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Solutions
Built for the people who move the world
One loop. Four verticals. One future.
Every vertical runs on the same intelligence layer. Pick the one that moves your world.
04
The Platform
DOPE Command Centre
Every alert, validated. Every driver, understood.
Command Centre · live vehicle events · view live
Live
Real AI event footage, streamed from the cabin.
Validated
Every alert human-verifiable — valid, invalid, coachable.
Per driver
CARD risk profiles that update every single trip.
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The Möbius Loop
A loop that never ends
Four stages. One continuous surface.
Scroll →
A Möbius strip has one continuous surface — no beginning, no end. A learning system with no finish line. Watch the loop assemble as the stages pass.
Read the full Path →Stage 01
01
Real-world data ingestion.
Every trip captures driver behaviour, road conditions, and risk events. City, highway, rural. Including conditions foreign AI fails on.
Stage 02
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Edge AI processing.
On-device inference. No cloud latency for critical alerts. 20 unique AI events at 92% accuracy.
Stage 03
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Driver augmentation & coaching.
Voice alerts in the moment. The system talks to the driver. The driver responds. Human judgment, amplified.
Stage 04
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Continuous model improvement.
Outcomes feed back into the platform. Every kilometre makes the next alert more precise. The loop closes. And opens again.
06
The Proof
The loop is already working
These aren’t projections.
The accident that didn’t happen is the one we helped you prevent.
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Drowsiness reduction
Within 6–8 months of deployment.
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Overall fleet risk down
Across all monitored risk categories.
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JRM compliance
With voice alerts alone. No human intervention.
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Phone usage reduction
In phone usage while driving.
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Fewer severe drowsy drivers
Drivers progressing from drowsy to severely drowsy.
Next step
Book a Demo →