Data is expensive, and it can be particularly difficult to get real data about rare events.
This is where we come in.
Steps of our process:
- Train a generative model to learn about an environment
- Query the generative model to generate synthetic data that mirrors the environment
- Use the synthetic data from the generative model to train other models to make predictions about the environment