About us
Seeing is understanding
We’re fundamentally transforming how systems perceive, interact with, and understand the physical world through Physical AI.
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Our team

Huidong Bai
Founder

Lei Gao
Technical Director

Li Zhang
Software Engineer

Yizhe Liu
Software Engineer

Hao Chen
Software Engineer

Melody
Software Engineer

Haodong Bai
Hardware Engineer

Harold
Project Manager

Xiaoxue Tan
Designer
FAQs
Can't find your answer?
Get in touch with our support team, they are friendly!
What types of sensors does the platform support?
Our platform features multi-modal sensor fusion, combining data from LiDAR, cameras, depth sensors, and other input sources into unified 3D representations that AI models can learn from effectively.
How does Determ integrate with existing ML workflows?
Our platform connects directly with PyTorch, TensorFlow, and Hugging Face—exporting training-ready datasets in standard formats. No need to rebuild your existing infrastructure.
Do you offer technical support during integration?
Yes. Our team provides hands-on support during onboarding, integration, and ongoing optimization of your data pipelines.
Can we use our own data with the platform?
Absolutely. Determ is designed to ingest your existing sensor data, enhance it with intelligent labeling, and output training-ready datasets.
How can we try the platform?
Reach out through our Contact page to schedule a demo or discuss a pilot program tailored to your specific use case.
Do you offer an SDK or API?
Yes. Our developer SDK provides programmatic access to data capture, labeling tools, and dataset management. See our Developer documentation for details.
How do you handle data security?
We implement end-to-end encryption, access controls, and compliance with industry standards. Your proprietary training data remains yours.


