Synthetic sim creation generates realistic scenarios using simulated data for AI training, validation, and system performance testing. It may include sensor data simulation for a full pipeline from perception to control.

DDD accelerates AI development by leveraging synthetic simulation for training, testing, and safety validation.

Log-based sim creation uses real-world driving logs to create simulations for testing and validating autonomous systems. This ensures real-world behavior alignment and reduces manual overhead.

DDD specializes in log-based simulations for the AV industry, enabling precise safety and behavior testing.

Transforms real-world driving data into high-fidelity simulation scenarios, allowing accurate perception stack testing which requires maintenance to prevent test data drift.

DDD excels in log-to-sim conversion, managing the entire lifecycle from data curation to expiration.

Digital twin validation ensures a digital twin accurately mirrors its real-world counterpart, providing confidence for scaling verification and validation used in robotics, aerospace, and defense.

DDD has expertise in planning, executing, and fine-tuning the digital twin validation checks, followed by failure identification and reporting.

Sim suite management involves large-scale simulation operations, optimizing test organization and execution which includes scenario lifecycle management, large-volume sim operations, and reporting.

DDD provides end-to-end simulation suite management, ensuring seamless testing and maximum ROI.

Sim Results Analysis & Reporting is the process of extracting meaningful insights from simulation data and communicating those findings effectively.

DDD’s platform-agnostic team delivers actionable analysis and custom visualizations for simulation results