AI in SDV
We deliver domain-specific AI solutions for Software-Defined Vehicles (SDV), enabling automotive organizations to accelerate the development of connected, intelligent, and continuously evolving vehicles. By embedding AI across software engineering, in-vehicle intelligence, and cloud ecosystems, these solutions drive faster development, higher software quality, and smarter vehicle experiences.
Accelerating Intelligence Across the SDV Lifecycle
Explore how AI in SDV applies intelligence across the entire software-defined vehicle ecosystem, from requirements engineering, software development, and validation to advanced in-vehicle and cloud-connected services. Discover how organizations can accelerate software release cycles, improve OTA readiness, enhance vehicle intelligence, and enable continuous software evolution across connected and intelligent vehicles.
SDV V-Cycle Solution Suite
/ SDV Engineering Lifecycle
Across the SDV engineering lifecycle, our AI-powered capabilities enhance traceability, decision-making, and productivity while connecting engineering workflows with vehicle and connected ecosystem operations.
/ In-Vehicle Intelligence
Using AI-powered copilots, ADAS capabilities, and driver intelligence, our in-vehicle intelligence improves situational awareness, enhances user experiences, and supports real-time decision-making within the vehicle environment.
/ Connected Cloud Ecosystems
Our connected cloud ecosystem helps organizations improve operational visibility, accelerate issue resolution, and continuously optimize vehicle performance throughout its lifecycle.
AI in SDV Solutions
How our AI solutions create value across the SDV lifecycle
AI Requirements Analyzer
/ Extract and structure system requirements
/ Detect ambiguity, inconsistencies, and quality gaps
/ Generate end-to-end traceability
/ Support requirement decomposition and validation
Outcome: Up to 30% reduction in requirements engineering effort
Architecture Advisor
/ Evaluate architecture alternatives and trade-offs
/ Analyze interfaces and system dependencies
/ Identify architectural risks early in development
/ Improve system integration readiness
Outcome: Faster architecture development cycles
HARA Agent & AI-Enabled MBSE
/ Accelerate hazard analysis and risk assessment
/ Support safety requirement creation and management
/ Enhance model-based systems engineering workflows
/ Strengthen compliance and design review processes
Outcome: Up to 30% reduction in safety engineering effort
AI-Powered AUTOSAR & Software Development
/ Automate AUTOSAR and model-based design
/ Validate coding standards and static analysis
/ Optimize software architecture
/ Reuse engineering knowledge to improve productivity
Outcome: Up to 30% lower software development effort
AI-Enabled Verification & Validation
/ Generate test cases from requirements and designs
/ Identify critical test scenarios and gaps
/ Improve validation traceability and coverage analysis
/ Accelerate verification and testing workflows
Outcome: Up to 30% reduction in test authoring effort
AI Test Orchestrator & Agentic Test Operations
/ Automate test planning, execution, and monitoring
/ Optimize regression testing and qualification
/ Auto-generate reports and qualification evidence
/ Coordinate validation workflows through AI agents
Outcome: Up to 40% lower test management effort
Chromosome.AI: The AI Foundation for Engineering & Manufacturing Enterprises
Chromosome.AI is our proprietary AI framework that combines over 30 years of engineering knowledge with agentic intelligence, reusable automation assets, and human-in-the-loop workflows to transform expertise into scalable, repeatable outcomes. This enables organizations to accelerate innovation, improve quality, and create value consistently across every stage of the engineering lifecycle.