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A human engineer and robotic collaborator working together on automotive technology

Company / Mindtronic AI

Engineering intelligence for human–robot collaboration.

With 60 granted patents, six CES Innovation Awards, a German Design Award, and proven experience bringing proprietary technologies into production, Mindtronic AI connects sensing, understanding, and interaction. Our development follows a consistent goal: machines that understand people, collaborate with them, and learn through interaction.

60 Granted patents

6 CES Innovation Awards

German Design Award Design recognition

IP → Production Proven industrialization experience

A consistent direction

Our ultimate vision: Human–Robot Collaboration

Advancing through proprietary technologies, a clear strategy, and proven execution

  1. Perception

    Perceive people & surroundings

    Computer vision and embedded system engineering establish how devices perceive people and their surroundings. HORUSEE brings these capabilities into automotive sensing.

    Explore HORUSEE →

  2. Contextual Understanding

    Connect observations with the situation

    Fusion of driver, road, and vehicle information turns observations into an understanding of the situation, demonstrated through IRVM/Copilot and OMNI.

    Explore IRVM / Copilot → Explore OMNI →

  3. Human Intent & Interaction

    Understand attention & adapt interaction

    Gaze tracking reveals attention and supports intention inference, while pupil positioning enables interfaces to adapt to the driver’s viewpoint.

    Explore Gaze Tracking → Explore 3D Pupil Positioning →

  4. User-Directed Functions

    Turn user prompts into functions

    Vibe Machine enables embedded devices to generate functions requested through natural-language prompts.

    Explore Vibe Machine →

  5. Runtime UX Personalization

    Deploy personalized experiences seamlessly

    NOAH enables generated functions and personalized experiences to deploy seamlessly to the embedded system, connecting user-directed functions with runtime interaction.

    Explore NOAH →

  6. Learning from Real Use

    Adapt to unspoken preferences

    On-device self-learning adapts to personal and operational preferences that users have not explicitly expressed, helping embedded intelligence evolve through field experience.

    Explore Self-Learning →

Together, these capabilities form a foundation developed by Mindtronic AI to help machines understand people, respond to their intent, and keep learning through collaboration.

Collaborate with Mindtronic AI →