Engineering Intelligence for Software-Defined Vehicles
Powered by the SDVsolution Engineering Knowledge Graph, connecting customer features, requirements, architecture, ECU platforms, software, validation, OTA deployment, and fleet learning.
Visual Engineering Intelligence Across the SDV Lifecycle
A live graph intelligence layer showing how customer features, requirements, architecture, ECU platforms, software, validation, safety, cybersecurity, OTA, and fleet learning connect.
Engineering Intelligence
The Knowledge Graph gives OEM leaders and AI agents a connected view of engineering relationships, traceability, readiness, risks, and validation evidence.
Knowledge
Graph
Features
Platforms
Factory
Cybersecurity
Learning
Knowledge Graph Across the OEM V-Model
SDVsolution connects the left side of the V-Model — features, requirements, architecture, and ECU definition — with the right side — integration, validation, OTA release, and fleet learning.
Knowledge Graph
AI Needs Engineering Context to Deliver Production Results
Generic AI tools can generate text or code, but SDV programs require connected engineering intelligence across requirements, architecture, software, ECU platforms, testing, safety, cybersecurity, OTA, and fleet learning.
Engineering Knowledge Graph for Software-Defined Vehicles
The Knowledge Graph is the intelligence layer that allows AI agents and engineering factories to reason across the complete OEM V-Model.
Feature Intent
Customer value, vehicle behavior, product definition, and program objectives.
Requirements
System, subsystem, software, diagnostics, safety, cybersecurity, and validation requirements.
Architecture
System architecture, ECU architecture, software architecture, services, interfaces, and networks.
Engineering Knowledge Graph
Connects engineering artifacts, relationships, dependencies, constraints, decisions, risks, and validation evidence across the SDV lifecycle.
ECU Platform
ECU definitions, interfaces, diagnostics, supplier packages, validation, and integration readiness.
Software Factory
Cockpit, vehicle controls, ADAS, cloud, OTA, diagnostics, and software release packages.
Fleet Learning
Telemetry, defects, performance, usage patterns, OTA feedback, and continuous improvement.
What the Knowledge Graph Connects
The Engineering Knowledge Graph connects the objects, dependencies, decisions, risks, and evidence required to engineer software-defined vehicles.
Features
Customer features, use cases, vehicle functions, user journeys, and product intent.
Requirements
Functional, non-functional, software, diagnostics, safety, cybersecurity, and validation requirements.
Architecture
System architecture, ECU architecture, software architecture, networks, services, and interfaces.
Software
Cockpit, vehicle controls, ADAS, cloud, OTA, diagnostics, APIs, and implementation artifacts.
ECU Platforms
ECU packages, hardware definitions, supplier packages, signals, pinouts, power, and network interfaces.
Validation
Test cases, verification plans, coverage, defects, evidence, release readiness, and vehicle validation.
Safety & Cybersecurity
Hazards, risks, mitigations, safety goals, threats, vulnerabilities, controls, and compliance evidence.
Fleet Learning
Telemetry, diagnostics, field issues, OTA feedback, performance trends, and continuous improvement loops.
Giving AI Agents Engineering Memory and Context
The Engineering Knowledge Graph gives AI agents access to structured engineering context, traceability, constraints, prior decisions, validation evidence, and fleet feedback.
Reason Over Context
Agents understand how requirements, architecture, software, ECU definitions, test cases, and risks are connected.
Generate With Traceability
Agents create engineering outputs that remain connected to source features, requirements, interfaces, validation, and releases.
Learn From Feedback
Fleet telemetry, defects, OTA performance, and validation results improve future engineering outputs and decisions.
From Engineering Data to AI Reasoning
SDVsolution transforms fragmented engineering data into a connected knowledge model that AI agents can reason over and engineering teams can trust.
The Intelligence Layer Behind SDVsolution AI Engineering
SDVsolution Engineering Knowledge Graph gives AI agents, AI factories, software teams, ECU platform teams, and OEM leaders a shared engineering intelligence layer from customer feature to production vehicle.