Digital Twin Integration Platform for:

• Scalable Digital Twin acquisition
• Streamlined Digital Twin management
• Modular scenario composition
• Real-time, high-fidelity simulation
• High-quality synthetic data generation

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Decompose modeling data into made-to-purpose Digital Twins and reassemble into novel simulations of accurate real-world scenarios. Generate data for ML/AI training and validation, testing and, multipurpose visualization.

Our Capabilities:

Digital Twin Management
Scenario Authoring
Simulation

Digital Twin Acquisition

Tools, workflows and support for acquiring simulation-ready Digital Twins at scale

Built-in support for most 3D model formats and import channels

CAD, 3D model marketplaces, Unreal Engine assets, streaming plugins, photogrammetry and more

USD schemas for Digital Twin encapsulation

As use cases change, any Digital Twin's properties can be augmented - layering new information without need to create a new Digital Twin

Open standards for truly interoperable Digital Twins

USD, glTF, MaterialX and more ensure your Digital Twins are not locked into any one ecosystem

Digital Twin Management

Organize, filter, search, share and modify your Digital Twin assets

User-oriented Catalog

Quickly search, filter and organize your Digital Twin library

Digital Twin type classification for intuitive management and composition

Item Twins - any inert objects
System Twins - functional, interactive objects (e.g. machines, people, mechanisms, etc)
Space Twins - environments

Secure sharing, downloading and access control

For individual twins or entire libraries

Scenario Authoring

Create novel, simulation-ready scenarios - modularly and with unlimited variations

Scenario Authoring with USD

Modularly compose and recompose scenarios to adapt to any real-world situation

Non-destructive USD Composition Arcs

Multiple parties can augment Digital Twins and scenarios per use-case needs and directly in Falcon

Introduce custom logic via Python API

Scenario-specific dynamics and behaviors can be added independently of default Digital Twins

Securely share entire scenarios

Just like sharing individual Digital Twins

Simulation

Real-time, deterministic simulation with tuneable environments created at run-time

Out-of-the-box library of sim-ready, validated sensors

  • Configurable Electro-Optical sensors including: RGB and Depth Cameras along with ground-truth outputs of Segmentation and Velocity.
  • Configurable LIDAR: 3D data from the environment as well as ground truth information (ex: segmentation per point).
  • GPS
  • IMU
  • Distance Sensor

Deterministic, real-time, physically accurate rigid body simulation

Always running at 60 fps or higher performance

Comprehensive options for diverse simulation dynamics

Hydrodynamics, aerodynamics and everything in between - with ability to incorporate any new ones

Track and manage sessions locally or in the cloud

Track session progress, re-run sessions or run regression testing all via the website portal

Probe Sensor for efficient robotic fleet simulation

Patented approach for highly detailed perception with more efficient compute resource utilization

Native ROS/ROS2 integration and flexible Python API

Connect your actual autonomy stack or fleet management software to Falcon

Cosimulation and third party simulator integration

Bring in any outside simulator (ex: MATLAB) and connect via Simulink

Unified multi-agent simulation and AWS SimSpace Weaver integration

Simulate massive-scale scenarios with multiple stakeholders for complex testing and coordination

Run Falcon headless or with full visualization

Photo-realistic visualization for user interaction and metaverse experiences, or headless operation for autonomous system regression testing

Synthetic Data Generation

Generate near-endless permutations of fully annotated, high-quality synthetic data

Stream data to ROS/ROS2 or other pub/sub systems

Native ROS/ROS2 integration, but Falcon's flexibility allows for integration with most communication patterns

Automatic synthetic data annotation & efficient metadata editing

Digital Twin source translates into 100% accurate data labeling as data is generated in Falcon

Migrate your synthetic data to any storage solution

Falcon can export data to any cloud platform, data lake, data warehouse or local storage via the cloud API