Synthetic Data
Our Digital Twin framework enables you to generate synthetic datasets for your use case. Simulate rare events and edge cases. Generate data difficult to produce due to missing sensors or high costs of data collection. You will receive 100% correctly annotated data enabling experiments and insights into your problem that are hardly possible with real data. Data protection laws are not an issue with synthetic data, and the ability to experiment with different scenarios at any time is invaluable.
On-Demand Simulations
Evaluate system designs or previously unknown scenarios completely virtually. Develop and test your algorithms even before the corresponding hardware exists.
You need a simulation of your use case that you can interact with live? Virtualize your vision application as a digital twin that simulates the relevant data stream of your application so realistically that it can be seamlessly integrated into your image processing solution. Just as if the sensor were actually physically present.
Generative AI
Combining digital twins and generative AI models offers a powerful solution for creating sophisticated and specific datasets. This method enables the simulation of complex environments, objects, and scenarios, taking into account your own sample data. Embrace the future of data generation and transform your industrial processes.
Why synthetic data?
How does this work?
Examples of our use cases
Robotics and industrial applications
Reusable data generation pipelines are perfect for industrial applications. By utilizing procedural scenery elements, physically based simulations, and advanced rendering and post-processing techniques, we can produce unlimited, highly realistic training data tailored to your needs. This approach allows for arbitrary variance across any domain your model requires for generalization, as well as simulations of edge cases to enhance your model’s performance.
On-Demand Simulation
Another application of digital twins is the ability to interact with the simulation in real-time. Even during the planning phase of a vision application, developing a digital twin can provide significant value. Evaluate hardware and sensor designs, develop algorithms, and test integration into your infrastructure before the system physically exists. Your developers can quickly and easily test new scenarios and experiment with system adaptations completely independently.
Real footage & synthetic data fusion
By leveraging AI, modern computer graphics, and VFX techniques used in the film industry, datasets can be created or extended with nearly unlimited variation and realism at a fraction of the cost of multiple rounds of data acquisition and annotation campaigns. Your real data is used, and rendered content is seamlessly and geometrically accurately integrated. This allows scenarios and edge cases to be added to the dataset as needed, significantly enhancing its value.
Generative AI
Our generative AI models are specifically designed for industrial applications, setting them apart from the more commonly known artistic image generators. By integrating generative AI with simulation, we provide complete control over image content through the combination of a digital twin and a generative model. This approach leverages the best of both worlds: the ability of generative AI to produce photorealistic images while ensuring precise control over every aspect of the image content.
