Ocean Cove

Redshift Motors, a next-gen electric vehicle startup, approached us with a bold mission: Design an intelligent driving experience that feels more like a co-pilot than a dashboard.

Client

Redshift Motors

Industry

Automobile / EV

Year

2025

Services Provided

AI-driven UI/UX Design, In-Car OS Design, Mobile App Integration

Key Challenges®

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Every innovation project brings its own set of complexities, especially when AI, user experience, and emerging technology intersect. In this project, our biggest challenge was to translate intelligent systems into human-centered interactions that felt natural, intuitive, and trustworthy.

Real-time Decision Support

Designing interfaces that provide timely, actionable insights without overwhelming the driver.

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Real-time Decision Support

Designing interfaces that provide timely, actionable insights without overwhelming the driver.

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Real-time Decision Support

Designing interfaces that provide timely, actionable insights without overwhelming the driver.

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Trust in AI

How much should the AI suggest vs. act autonomously? We had to map trust thresholds.

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Trust in AI

How much should the AI suggest vs. act autonomously? We had to map trust thresholds.

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Trust in AI

How much should the AI suggest vs. act autonomously? We had to map trust thresholds.

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Multi-Device Sync

Ensuring smooth data and experience continuity between the car and the mobile app.

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Multi-Device Sync

Ensuring smooth data and experience continuity between the car and the mobile app.

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Multi-Device Sync

Ensuring smooth data and experience continuity between the car and the mobile app.

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Hardware Constraints

Designing for ultra-wide in-dash displays and varying resolution panels.

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Hardware Constraints

Designing for ultra-wide in-dash displays and varying resolution panels.

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Hardware Constraints

Designing for ultra-wide in-dash displays and varying resolution panels.

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Design Approach®

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Our approach was rooted in the belief that great design should make intelligence feel invisible — powerful, yet effortless.

Designing the HMI Brain

We designed an in-car system that behaves like a smart co-driver—intuitive, responsive, and always one step ahead.

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Designing the HMI Brain

We designed an in-car system that behaves like a smart co-driver—intuitive, responsive, and always one step ahead.

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Designing the HMI Brain

We designed an in-car system that behaves like a smart co-driver—intuitive, responsive, and always one step ahead.

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AI Assistant Architecture

We developed distinct AI personality layers to make the in-car assistant more relatable and purpose-driven—each with a clear role

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AI Assistant Architecture

We developed distinct AI personality layers to make the in-car assistant more relatable and purpose-driven—each with a clear role

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AI Assistant Architecture

We developed distinct AI personality layers to make the in-car assistant more relatable and purpose-driven—each with a clear role

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Mobile Companion App

The mobile companion app was designed to extend the in-car experience beyond the vehicle itself, starting with intelligent pre-drive planning that evaluates charge levels, optimal routes, and environmental conditions.

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Mobile Companion App

The mobile companion app was designed to extend the in-car experience beyond the vehicle itself, starting with intelligent pre-drive planning that evaluates charge levels, optimal routes, and environmental conditions.

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Mobile Companion App

The mobile companion app was designed to extend the in-car experience beyond the vehicle itself, starting with intelligent pre-drive planning that evaluates charge levels, optimal routes, and environmental conditions.

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Final Outcome

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The result was a seamless, intelligent experience that merged advanced AI capabilities with thoughtful, human-centered design.

98 %

Success in intent recognition with AI voice assistant

98 %

Success in intent recognition with AI voice assistant

98 %

Success in intent recognition with AI voice assistant

12 %

Success in intent recognition with AI voice assistant

12 %

Success in intent recognition with AI voice assistant

12 %

Success in intent recognition with AI voice assistant

90 +

Screens designed across modes and contexts

90 +

Screens designed across modes and contexts

90 +

Screens designed across modes and contexts

32 %

Reduction in driver distraction metrics

32 %

Reduction in driver distraction metrics

32 %

Reduction in driver distraction metrics

“Arqos team not only helped us design a car interface — you helped us design how people will feel safe, seen, and in control in a future where cars think for themselves.”

— Johan Feldman, Head of Product Design, Redshift Motors

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