Quest Global Tech Day at Stellantis

• Vision UI: Accelerate concept to production through AI-assisted design exploration, dynamic themes, and a shared design system, with every screen element traceable back to its feature and requirement.
• Hyper-Personalization: Create more relevant in-vehicle experiences by using driver identity to adapt the dashboard, navigation, media, and climate to the individual behind the wheel.
• Convoy Mode: Make multi-vehicle journeys easier to coordinate through peer-to-peer vehicle discovery, live positioning, shared interactions, and group communication without relying on the cloud.

Connect requirements, design, compliance, and validation earlier in the development process to identify gaps and issues before they become costly downstream rework.

• Interface IQ: Check brand, regulatory, usability, and human-factor requirements directly within the design workflow, with issues flagged in near real-time and corrective guidance provided for resolution.
• Requirements IQ: Turn fragmented specifications and source documents into structured, traceable engineering knowledge, helping teams identify gaps earlier and maintain a direct connection between requirements and design.

Bring together driver identity, attention monitoring, and contextual intelligence to support safety readiness and create more responsive experiences inside the vehicle.

• Driver Recognition + DMS: Support safety readiness and personalization by identifying the driver and monitoring drowsiness, distraction, and attention, providing a near real-time understanding of driver identity and state.
• Screens AI: Make in-vehicle assistance contextual by using traffic, navigation, ETA, and calendar information to support the driver during the journey.

Creating a connected foundation across the product lifecycle

Connect requirements, design, software, vehicle data, and engineering evidence through a common knowledge layer, creating greater visibility and traceability across product development.

• Ontology / Connected Foundation: Improve quality by connecting specifications, requirements, HMI, engineering checks, and field evidence in one model, helping teams understand what a change affects, why a decision exists, and how information traces across the lifecycle.

• Service Genie: Help identify potential maintenance needs before they become service issues.
• Dealer Genie: Enable faster, more informed dealer decisions by bringing inventory, service, parts, and operational data into a connected view.
• Auto Intel: Turn real-world vehicle and infotainment data into actionable insights, helping teams understand vehicle usage, system behavior, and feature engagement to inform future product decisions.