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Case Studies

Real world impact.

Engineering delivery under real-world constraints. From embedded software and verification to safety, systems, toolchains, and AI-augmented engineering.

ALM & TOOLCHAIN/AUTOMOTIVE

Enterprise ALM & Polarion Deployment

Unifying global engineering teams

Context

Large automotive programs operating across distributed teams struggled with fragmented tooling, inconsistent engineering processes, and limited traceability between requirements, design, testing, and safety artifacts.

Engineering Challenge

Disconnected tools and manual workflows made compliance difficult to demonstrate and audit preparation costly and late in the development lifecycle.

Our Contribution

  • Definition of ALM information models aligned to ASPICE and ISO 26262
  • Deployment and customization of Polarion ALM
  • Migration of legacy requirements, test cases, and verification artifacts
  • Configuration of V-model traceability and review workflows
  • Integration with Jira, MATLAB/Simulink, and test toolchains
  • Coaching of engineering teams for sustainable adoption
Enterprise ALM & Polarion Deployment

Outcome

A unified ALM backbone enabling consistent engineering execution, full bidirectional traceability, and improved readiness for audits and certification activities.

EMBEDDED SYSTEMS/AUTOMOTIVE, RAILWAY

Fuel Cell ECU Platform

H2 powertrain for mobility and transportation

Context

A hydrogen fuel-cell energy platform for railway and truck applications combining new technology, evolving requirements, and tight integration timelines required robust embedded software and system integration.

Engineering Challenge

The program needed to ramp up software development capability while managing hardware dependencies, complex sensors and actuators, and production-intent constraints.

Our Contribution

  • Software development organization setup
  • ECU prototyping support
  • AUTOSAR platform strategy and Basic Software configuration
  • Controls and application software development using Model-Based Design
  • Development of complex sensor and actuator drivers
  • Software integration and validation strategy
  • Virtual and real HIL bench development
Fuel Cell ECU Platform

Outcome

A production-intent embedded software platform supporting fuel-cell energy management, validated through virtual and real testing environments.

EMBEDDED PLATFORMS/AUTOMOTIVE

AUTOSAR BSW Platform Strategy

Reusable platform architecture

Context

Multiple ECU variants led to duplicated effort and unstable integrations across projects.

Engineering Challenge

The customer needed a reusable AUTOSAR BSW platform that could scale across ECU variants while remaining compatible with application and safety constraints.

Our Contribution

  • AUTOSAR architecture definition and platform partitioning
  • Template generation using DaVinci Developer
  • Multi-instance support for ECU classes
  • Generic Complex Device Driver (CDD) strategy
  • Integration and validation using vVirtualTarget and CANoe
  • Alignment with application software and safety requirements

Outcome

A reusable AUTOSAR BSW platform reducing integration complexity and supporting multi-variant ECU development.

V&V/AUTOMOTIVE

ECU Virtualization

Parallel development & testing

Context

Hardware availability and late design changes were slowing down development and testing activities.

Engineering Challenge

Software teams were blocked by hardware dependencies, limiting early validation and parallel workstreams.

Our Contribution

  • Setup of virtual ECU environments using Vector vVirtualTarget
  • Dual-target configuration for virtual and real ECU builds
  • Integration of virtual ECU software as DLLs in CANoe
  • Rest-bus and plant simulation for system-level testing
  • Support for early debugging and regression testing
ECU Virtualization

Outcome

Decoupled software progress from hardware availability, enabling earlier testing and faster issue detection.

V&V/AUTOMOTIVE

System and Software Qualification Testing

On-site software & system testing (HIL)

Context

During late project phases, verification gaps were identified across test coverage, traceability, and release evidence, creating delivery and quality risks under tight timelines.

Engineering Challenge

Verification activities had to be executed directly on-site, within the customer's engineering environment, under high delivery pressure, and without disrupting ongoing development activities. Limited iteration cycles required fast analysis, decision-making, and execution.

Our Contribution

  • On-site execution of software and system-level testing on HIL setups
  • Reinforcement of integration and system testing in late project phases
  • Identification and closure of verification and traceability gaps
  • Consolidation of QA status and release readiness indicators
  • Generation of audit-ready verification evidence
  • Hands-on support to engineering teams during late fixes, re-testing, and regression cycles
System and Software Qualification Testing

Outcome

Verification gaps closed under tight timelines. Stabilized qualification and release status. Improved confidence in final delivery readiness.

DEVOPS/AUTOMOTIVE

Comprehensive CI/CD Pipelines for Embedded Software

Automated quality gates

Context

Manual quality checks and disconnected tools limited visibility and repeatability of software verification.

Engineering Challenge

The customer needed automated quality gates aligned with embedded and AUTOSAR-based development.

Our Contribution

  • Design of multi-stage CI/CD pipelines for embedded software
  • Automation of static analysis, unit testing, and integration testing
  • Integration with ALM and requirements traceability
  • Alignment with verification and qualification needs
Comprehensive CI/CD Pipelines for Embedded Software

Outcome

Improved consistency and traceability of quality activities across development stages.

INTEGRATION TESTING/AUTOMOTIVE

Body Electronics ECU Validation

Acceptance testing

Context

Body electronics ECUs controlling lighting, sunroof, and PDLC functions required acceptance testing prior to vehicle integration.

Engineering Challenge

System-level validation had to be completed within tight integration timelines.

Our Contribution

  • Definition of integration and acceptance test strategies
  • Test setup and execution for ECU validation
  • Support during issue analysis and resolution

Outcome

Validated ECUs ready for downstream vehicle integration.

FUNCTIONAL SAFETY/AUTOMOTIVE

Functional Safety Engineering Deployment

ISO 26262 organization setup

Context

An automotive Tier-1 operating across multiple business units needed to establish a functional safety engineering approach compliant with ISO 26262.

Engineering Challenge

Gaps existed at organizational, process, and tooling levels, limiting the ability to develop safety-critical applications.

Our Contribution

  • Functional Safety audits and gap analysis
  • Setup of functional safety organization and roles
  • Definition of safety processes, methods, and workflows
  • Toolchain configuration aligned with functional safety lifecycle
  • Development and delivery of functional safety trainings
  • Provision of expert resources to execute safety activities

Outcome

A deployable functional safety engineering framework enabling consistent ISO 26262-compliant development.

FUNCTIONAL SAFETY/AUTOMOTIVE OEM

Functional Safety for HV Battery

System safety coordination

Context

An automotive OEM developing a high-voltage battery pack within a distributed supplier environment.

Engineering Challenge

Vehicle- and system-level functional safety activities had to be coordinated across multiple suppliers and interfaces.

Our Contribution

  • RAMS planning and Functional Safety management
  • Vehicle-level Hazard Analysis and Risk Assessment (HARA)
  • Functional Safety Concept definition (vehicle & system level)
  • Supplier selection and safety interface support
  • DIA establishment and supplier audits
  • Confirmation reviews and safety case support

Outcome

Improved safety governance and alignment across OEM and supplier ecosystem.

FUNCTIONAL SAFETY/RAILWAY

ERTMS Railway Signaling Safety

EN 50126/50129 compliance

Context

A railway OEM developing signalling systems under EN 50126 / EN 50129 standards for ERTMS deployment.

Engineering Challenge

Managing safety requirements, risks, and certification interfaces across system and software teams.

Our Contribution

  • Risk analysis and risk log management
  • Safety requirements development and review (system & software)
  • Interface management with design and verification teams
  • Coordination with Independent Safety Assessor (ISA)
  • Contribution to safety processes and toolchain improvement

Outcome

Improved consistency and clarity of safety engineering activities aligned with railway certification requirements.

KNOWLEDGE MANAGEMENT/ENERGY

Engineering Knowledge Agent

Data sovereignty for sensitive industries

Context

Engineering teams in highly regulated environments needed faster access to internal technical documentation, standards, and project knowledge, while maintaining strict data sovereignty over sensitive information.

Engineering Challenge

Critical information was spread across documents and tools, making retrieval slow and error-prone. External AI solutions were not acceptable due to data sensitivity in the nuclear sector.

Our Contribution

  • Design and deployment of AI-based conversational agents
  • Indexing of technical documentation and standards
  • Retrieval-augmented generation (RAG) for source-grounded answers
  • Integration with engineering toolchains
  • Deployment with internal data sovereignty guarantees

Outcome

Improved accessibility and reuse of internal engineering knowledge while maintaining strict data sovereignty for nuclear industry applications.

AI & SAFETY/CROSS-INDUSTRY

AEGIX FMEA Suite

AI-assisted failure mode and effect analysis

Context

Traditional FMEA activities are time-consuming and difficult to keep consistent across projects.

Engineering Challenge

Explore how AI could support FMEA drafting and verification using existing engineering data.

Our Contribution

  • Internal development of an AI-assisted FMEA web application
  • Integration of project documents, standards, and historical FMEAs
  • RAG-based agents for failure mode suggestion and gap detection
  • Integration concepts with popular ALMs

Outcome

A promising engineering tool platform demonstrating AI-augmented FMEA — in internal evaluations it roughly halved drafting time and improved quality through proactive gap identification.

Case studies presented are composites of real engagements to protect client confidentiality while demonstrating our technical capabilities.

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