AD 3.0

The Next Step in Autonomy

AD 3.0 defines the next step in autonomy. Thinking AI brings it to life – enabling vehicles to understand context, assess risk, and decide what to do.

Our ADAS and AD solutions (L2++, L3, and L4) are built on this architecture – enabling real-time decision-making using standard cameras and automotive-grade compute.

Built for Real-World Autonomy

Cars that make sense.
Enables scalable, real-world autonomous driving – overcoming the limitations of AD 2.0 systems.

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Handling Real-World Edge Cases

Built for real driving situations - where context, risk, and decisions matter.

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Scalable at Low Cost Without Heavy Hardware

Runs on standard cameras and automotive-grade compute, without costly sensors or heavy platforms.

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Making Decisions That Make Sense

Understands context, assesses risk, and decides what to do in real time.

Thinking AI Advantages

Autobrains’ Scalable Agentic solution – How We Differ from the Monolithic End-to-End

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Monolithic End-to-End AI Approach

Single end-to-end neural net

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No limitations through engineering inputs

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High complexity black box

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Exponential growth of resources (diminishing returns)

Autobrains’ Thinking AI - Enabling AD 3.0

Agentic AI architecture built for real-world autonomy

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Split the complex problem into smaller parts

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Optimized for edge cases

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Modular, explainable, transparent & debuggable

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Scales without adding sensors or compute

Software approach

From Monolithic Models to Agentic AI

Old approaches rely on a single model retrained over time.
Thinking AI introduces an agentic system that learns, adapts, and scales continuously

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Monolithic End-to-End AI Approach

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Inconsistent behavior across scenarios

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Increasing compute and cost with every update

Autobrains’ Scalable Thinking AI (Agentic Approach)

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Consistent decision-making across real driving situations

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Scales efficiently without adding sensors or compute

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Design wins with global OEMs
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L4 Program with Leading Global OEM
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GSR & NCAP Compliance Ready

Experience Autobrains' Thinking AI

See how our agentic approach enables vehicles to understand context, assess risk, and make decisions in real time.