Perform Complex
Unit Testing
Utilize simulated patients to verify model capabilities in low risk environments.
Validate full surgical policies before physical deployment — cutting real-world testing costs by 95%.
Generate Protocols
From scratch
Use synthetic data to train machine learning models 32× faster.
Skip costly manual labeling and unlock new capabilities by leveraging our premade training pipelines
Perform Rapid
R&D Iterations
Compare policies performance across a multitude of environments and settings. Optimize robotic structures, imaging capabilities, and interface design in under a day.
We specialize in synthetic anatomical data, enabling customers to train policies faster, more effectively, and at a lower cost than traditional alternatives.

Gain access to a massive library of premade anatomical models
Ouiza offers a vast library of pre-made anatomical structures for simulated robotic interaction. From a single layer of epidermal skin to the entire thoracic cavity. We have it all.
Verify the effectiveness of policies in a few minutes, not a few days.

Define Unit Tests.
Verify that your policy is effective for a diverse range of patients in various settings. Compare your policy performance to benchmarks, all from the comfort and safety of your low-stakes virtual simulation.
Execute and Analyze
Batch execute unit tests on different models and compare performance across different robotic configurations, optimize design, and gain peace of mind.
Streamline Policy Training & Cut Months off Development.
1. Define Observation Space
Need your policy to understand the basic building blocks of human physiology? Want it to be able to interact with human anatomy intuitively? We can help.
2. Train in Hours (not Days)
Gone are the days of high-risk observation and experimentation. With simulated models, we can abstract anatomy, conserve resources, and run parallel computation.
R&D at Breakneck speed
Utilize our rapid prototyping tools to explore how robots can perceive and interact with the human anatomy. Rapidly test the effectiveness of different physical and perceptual models by simulating their interaction with our anatomical models. Test capabilities, compare models, and generate in-depth reports of robotic capabilities and shortfalls in under a minute.

Our platform replaces traditional data-heavy machine learning pipelines with high-fidelity recreations of human anatomy that closely mirror the physics and biology of the real world. Relying on synthetic data enables faster development, lower costs, and high transferability. From drawing blood to injections, we can equip any robot with an intuitive understanding of the anatomy it's working with—no manual programming required.

