CEO
Duality
10/10Traction
Duality AI provides a high-fidelity digital twin simulation platform for developing and validating embodied AI and autonomous systems. This platform enables synthetic data generation and closed-loop testing within photorealistic, large-scale virtual environments. The solution helps customers accelerate model refinement, ensure safety, and achieve Sim2Real performance across applications like robotics and autonomous vehicles.
- Artificial Intelligence
- Developer Tools
- Enterprise Software
- Robotics
- Software Only
Updated 22 months ago
Funding
Raised to date
$14.9MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Drive CapitalNo round attributed
- drivecapital.com (opens in a new tab)investor website
- Source unavailable
Hg VenturesNo round attributed
- hgventures.com (opens in a new tab)investor website
Funding rounds are not available yet.
Founders
Product
Problem
AI models and autonomous systems often struggle to generalize and perform safely in complex, unpredictable real-world environments. Validating these systems requires extensive testing, which can be time-consuming, expensive, and potentially dangerous when conducted in the physical world.
Solution
Duality provides a digital twin simulation platform that enables users to create high-fidelity virtual environments for testing and validating AI models and autonomous systems. The platform leverages the Unreal Engine to generate realistic simulations, allowing for the creation of diverse scenarios and edge cases. By simulating real-world conditions, Duality enables users to fine-tune their models, accelerate development timelines, and reduce the risks associated with physical testing. The platform supports both open-loop simulation for synthetic data generation and closed-loop simulation for autonomous systems validation.
Target Audience
The primary target audience includes AI/ML engineers, robotics developers, and researchers working on autonomous systems, particularly in industries such as manufacturing, aerospace, and logistics.
Features
- Unreal Engine-based editor for creating custom simulation environments
- Catalog of simulation-ready system, item, and space twins
- Open-loop simulation for synthetic data generation
- Closed-loop simulation for autonomous systems validation
- Python API and Falcon middleware for integration with ROS/ROS2 and AI models
- Secure, cloud-based workflow
- Tunable system twins and virtual sensors