Binary Emulation
Convert heterogeneous guest code into host-native execution for efficient software validation.
Embedded Virtualization Platform
Run, validate, debug, and automate embedded software in a fully virtualized environment without physical target hardware.
FASTVLABS PLATFORM SHOWCASE
Explore how FastVLabs supports virtualized embedded software validation across power plant and automotive environments.
English platform overview
Supplementary platform walkthrough
Convert heterogeneous guest code into host-native execution for efficient software validation.
Support debugging through virtual CPU, memory, and I/O driver environments.
Monitor performance metrics, test data, and system behavior in real time.
Save and restore system states to reproduce errors and analyze behavior.
Enable automated validation through CLI, scripts, and pipeline integration.
Support integration with simulators and standards such as Simulink, VEOS, INCA, FMI, ASAM XIL, and XCP.
Execute complete production stack on binary level without real hardware.
Build and manage ECU components as flexible virtual modules.
Run repeated validation scenarios efficiently in a PC-based environment.
Use scripts and automation flows to reduce repetitive manual verification.
External Simulator / Calibration Tool
FastVLabs Virtual Target Model
Virtual Hardware Layer
Dashboard / Automation / Analysis
Integration landscape
Simulink / VEOS · INCA · FMI · ASAM XIL · XCP
Shift-left integration and regression validation for body, chassis, and domain ECU software before hardware ramps.
Controlled environments for mission software verification with traceable execution and reproducible states.
PC-backed validation for controllers and gateways where lab hardware availability is constrained.
Represent production-equivalent stacks virtually to align validation evidence with operational profiles.
Validate body-domain MCU software against virtual I/O and timing constraints before bench bring-up.
Exercise mission application stacks with repeatable scenarios while preserving configuration fidelity.
Support flight-critical control software verification workflows with structured automation and logging.
Decouple software milestones from physical target availability and logistics.
Iterate faster with parallel validation lanes and automated regression.
Execute broader scenario matrices that are costly or unsafe on hardware alone.
Capture deterministic states and evidence suitable for audit-ready engineering.