Intelligence for the Software-Defined Vehicle

CognitoAI™ enables automakers to build context-aware, vehicle-native AI experiences across cockpit and vehicle systems.

Why Vehicle AI Is Different

In-vehicle intelligence must operate within the realities of driving: limited attention, variable connectivity, sensitive data and complex vehicle architectures.

Cognitive Overload

Drivers need relevant guidance without increasing distraction or interaction complexity.

Connectivity Constraints

Critical experiences must remain responsive when cloud access is limited or unavailable.

Privacy Expectations

Vehicle and customer data require controlled, privacy-conscious processing.

System Complexity

AI must coordinate across applications, domains and diverse vehicle architectures.


CognitoAI™ addresses these challenges with a software platform purpose-built for automotive environments.

A Foundation for Vehicle Intelligence

Built for modern vehicle architectures

CognitoAI™ connects the intelligence layer with centralized compute and edge AI acceleration, placing processing where each experience needs it.

  • High-performance compute

    Centralized processing for complex workloads and cross-domain coordination.

  • Edge AI acceleration

    Local inference for responsive experiences, privacy and reduced cloud dependence.

  • CognitoAI™

    Reasoning, orchestration and vehicle awareness across the technology stack.

How CognitoAI™ works

Three layers of vehicle intelligence

Perception

Collects relevant context from vehicle data, sensors, applications and connected services.

Reasoning

Interprets context and intent, then coordinates AI models and services.

Action

Delivers recommendations, automates tasks and supports personalized responses.

One platform. Multiple intelligent experiences.

CognitoAI™ connects vehicle intelligence with personal intelligence to create interactions that are useful in the moment and relevant to the journey.

Vehicle intelligence

  • Predictive maintenance recommendations
  • Intelligent energy management
  • Proactive service guidance
  • Vehicle health insights

Personal intelligence

  • Personalized assistance
  • Context-aware recommendations
  • Intelligent trip support
  • Adaptive in-vehicle experiences

These are just a few examples of how CognitoAI™ can be applied

  • Proactive Support

     

     

     

     

     

     

    Opening the boot automatically when sensors detect full hands

  • Safety Intelligence

     

     

     

     

     

     

    Warning passengers of approaching cyclists before the open a door

  • Stress Reduction

     

     

     

     

     

     

    Sensing agitation and automatically adjusting the cabin environment

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