Building the Future of Autonomous Intelligence with Simulation Operations

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