Model Based Design & Simulation

Validate System Behavior Earlier with Model-Based Design and Simulation

For complex embedded programs – ADAS ECUs, powertrain controllers, medical devices, industrial control systems – defects found at hardware integration are prohibitively expensive to fix. Model-Based Design shifts that discovery into simulation, where correction costs a fraction.
Spark Magic’s SimuQuest portfolio brings MBD, MBSE, ECU driver code generation, and distributed co-simulation capability to India’s embedded teams – aligned with AUTOSAR workflows and multi-supplier program structures.

UniPhi

Live Architecture Visibility Across Your Entire Model Ecosystem.

UniPhi is SimuQuest’s architecture management and model synchronization platform – providing systems engineers with a live, queryable view of their complete model landscape across MATLAB/Simulink, Enterprise Architect, DOORS, and custom toolchains

Key capabilities:

  • Automated model integration across heterogeneous toolchains
  • Rule-based architecture validation with violation reporting
  • AI-assisted anomaly detection in large model ecosystems
  • Visual dependency mapping across complex multi-supplier programs
  • Early defect identification – surface architecture inconsistencies before software integration begins

UniPhi also comes with AI capabilities for automating software testing, synchronizing design with implementation, managing project portfolios, and automates engineering consistency. It helps developers spend time fixing defects and synchronizes design and implementation.

QuantiPhi

Automate ECU Driver Configuration & HAL Code Generation from Model Specifications

QuantiPhi automates the generation of hardware abstraction layer code and low-level peripheral drivers for ECU-based embedded software – directly from model-level hardware configuration specifications.

Key outcomes:

  • Eliminates hand-coded peripheral initialization and driver integration
  • Produces AUTOSAR-aligned MCAL code generation output
  • Directly connects model-based development to production toolchains
  • Reduces manual driver errors at ECU integration
  • Accelerates hardware-software integration timelines on new ECU platform programs

VenetDCP

Federated Co-Simulation for ADAS, Powertrain & Complex Embedded Programs.

VenetDCP enables distributed co-simulation for programs where subsystem models are owned by different suppliers or internal teams – including ADAS, V2X, multi-ECU powertrain, and complex industrial control programs.

Key capabilities:

  • Federation of simulation platforms – MATLAB/Simulink, CarMaker, IPG, OpenCRG, and others
  • Synchronized co-simulation across geographically distributed teams
  • Secure model partitioning – suppliers contribute to full-system simulation without exposing proprietary model internals
  • Scalable to programs with 10+ subsystem contributors
  • Full-system validation before hardware prototypes are available – materially accelerates program timelines

The main facets of VenetDCP 

  • Joint verification environment that links multiple models, development tools, and companies.
  • Highly suitable for supporting advanced systems such as autonomous driving and advanced driving assistance systems (ADAS).
  • Strong platform for improving quality and boosting productivity.
  • Ensure secure data handling by connecting development environments without disclosing any confidential information.

The main facets of VenetDCP 

  • Joint verification environment that links multiple models, development tools, and companies.
  • Highly suitable for supporting advanced systems such as autonomous driving and advanced driving assistance systems (ADAS).
  • Strong platform for improving quality and boosting productivity.
  • Ensure secure data handling by connecting development environments without disclosing any confidential information.

The main facets of VenetDCP 

  • Joint verification environment that links multiple models, development tools, and companies.
  • Highly suitable for supporting advanced systems such as autonomous driving and advanced driving assistance systems (ADAS).
  • Strong platform for improving quality and boosting productivity.
  • Ensure secure data handling by connecting development environments without disclosing any confidential information.

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