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Reduces compute power by up to 70%
Simplifies engineering with a single safety parameter
Explainable AI for safety and regulatory supervision
Glass box decision-making
Modular and hardware agnostic
Powered by proprietary, lightweight deep learning–based neural nets. with a context-aware perception architecture where perception modules cooperate to visualize the complexity of the driving scene based on inputs from Camera, Radar, Lidar, GPS, and EEH.
It understands vehicle movement and reads the static context of the road ahead, assesses the dynamic road context using the environmental visibility conditions, lane geometry, identifies the free space available, and recognizes only what is in and around the drivable path.
The result is a one clean, unified view of the driving scene: simple, efficient, and focused before risk unfolds.
Powered by GenAI–based Anticipative Prudence™ Technology
It blends perception into a unified understanding of the driving scene and translates it into a single Prudence Signal. It answers one simple question like humans do: how prudently should the vehicle behave right now?
This continuously evolving Prudence Signal drives real-time decisions on speed, braking, and trajectory with human-like judgement.
Powered by proprietary, lightweight deep learning–based neural nets. with a context aware perception architecture where perception modules cooperate to visualize the complexity of the driving scene based on inputs from Camera, Radar, Lidar, GPS & EEH.
It understands vehicle movement and reads the static context of the road ahead, assesses the dynamic road context using the environmental visibility conditions, lane geometry, identifies the free space available and recognizes only what is in and around the drivable path.
The result is a one clean, unified view of the driving scene: simple, efficient, and focused before risk unfolds.
Powered by Gen AI–based Anticipative Prudence™ Technology
It blends perception into a unified understanding of the driving scene and translates it into a single Prudence Signal. It answers one simple question like humans do: how prudently should the vehicle behave right now?
This continuously evolving Prudence signal drives real-time decisions on speed, braking, and trajectory with human-like judgement.
A single, scalable platform built to adapt seamlessly across 4-wheeler OEMs, 2-wheeler OEMs, fleets, and telematics ecosystems.
4-Wheeler
OEMs
2-Wheeler
OEMs
Fleet
Telematics
Insurance Telematics
Reactive
Compute-heavy, expensive
Human-like predictive intelligence
Up to 70% lower compute, cost-effective
Costom built lightweignt models
Brute-force learning
Structured perception
Large neural networks
Reactive
Human-like predictive intelligence
Compute-heavy, expensive
Up to 70% lower compute, cost-effective
High development and validation cost
Reduce engineering cost
Brute-force learning
Structured perception
Large neural networks
Custom-built lightweignt models
Known objects only
Understands the unknown
No decision layer
Prudence-driven decisions
Black box decision making
Glass box decision making
