Technology

Automotive AI & Intelligence

The intelligence layer powering perception, reasoning, prediction and autonomous decision-making across every vehicle domain.

Overview

Automata Mobility's AI stack combines edge inference, functional AI models, foundation models and agentic reasoning to deliver production-grade intelligence for ARAS, ADAS, connected vehicles, software-defined vehicles and electric vehicles. Models run on-device for deterministic latency and in the cloud for fleet-scale learning, with explainability built in for safety validation.

Technology Architecture

A unified AI stack for mobility.

From on-vehicle inference to cloud-scale foundation models, every layer is tuned for automotive determinism, safety and continuous fleet learning.

L01

Edge AI Runtime

Low-latency on-vehicle inference on ARM SoCs, NPUs and GPUs.

L02

Functional AI Models

Task-specific perception, prediction and control models.

L03

Foundation & Vision Models

Large multimodal models for scene understanding and reasoning.

L04

Fleet Intelligence Cloud

Continuous training, evaluation and explainable model governance.

Core Components

Building blocks of the stack.

Edge AI

Deterministic on-device inference.

Functional AI Models

Perception, planning and control networks.

Driver Behaviour Analytics

Attention, drowsiness and risk scoring.

Rider Behaviour Analytics

Lean, throttle and braking style intelligence.

Fleet Intelligence

Cross-vehicle learning at scale.

Predictive Maintenance

Anomaly detection across CAN and sensors.

Vision AI

Camera-based perception and scene reasoning.

Foundation Models

Multimodal reasoning for mobility.

AI Agents

Autonomous task and decision agents.

Explainable AI

Transparent decisions for safety and audit.

Automotive Workflow

From signal to action.

01
Sensor Ingest
Cameras, radar, IMU, GPS and CAN feed into the edge runtime.
02
Perception
Vision AI detects and classifies objects, lanes and traffic elements.
03
Behaviour Analytics
Driver / rider intent and risk are inferred in real time.
04
Decision Intelligence
AI agents and foundation models select safe actions.
05
Actuation
Commands flow back over CAN to brake, throttle and steering.
06
Fleet Learning
Explainable telemetry improves models across the fleet.
Real-world Applications

Where it drives value.

ARAS

Rider assistance and collision-warning intelligence.

ADAS

Adaptive cruise, lane keeping and emergency braking.

Connected Vehicles

Real-time telematics and cooperative driving.

Software Defined Vehicles

Continuously updatable AI features via OTA.

Electric Vehicles

Battery, range and drivetrain intelligence.

Benefits

Engineered outcomes.

Deterministic Latency

Sub-100 ms decisions at the vehicle edge.

Continuous Learning

Fleet data improves every model release.

Safety & Auditability

Explainable AI aligned to functional safety.

Build the next generation of mobility.

Partner with Automata Mobility to bring intelligent, safe and connected vehicles to the road.