SANS MOTIF

AI cases in automotive

Explore our functional prototypes demonstrating what's possible when AI meets automotive UX.

Core principles

What we've learned designing AI for automotive.

Edge and Cloud

Run sensitive or fast tasks locally. Use cloud for the heavy lifting. Get this split right early.

Expandability

Models change fast. Build modular so you can swap without rework.

Agent Orchestration

One model won't cut it. Specialized models combined work better than one doing everything.

Confidence Level

AI will be wrong sometimes. If confidence is low, show it—don't hide it.

Non-intrusive

Hold back on proactive features when uncertain. Interruptions hurt more than missed suggestions.

Digital Assistant

Voice handles simple tasks. For anything complex, add a screen.

Personalization

Use AI to learn preferences and enable smarter customization. Keep manual controls within reach.

Close the Loop

Iterate on real feedback. Use the data from interactions to refine the model and improve the experience over time.

AI capabilities
are advancing
fast

Today's models will be outdated in a few months.

New AI capabilities will run on the edge soon.

As frontier models become part of everyday life, user expectations are rising.

What we can do for you

From early exploration to production-ready solutions, we support every stage of your AI journey

Technical requirements

Create agentic workflows

Train AI models

Create wonderful designs

Build a proof of concept

AI consultation

Showcase your ideas