Advancing Innovation Across AI, Robotics, and Privacy Engineering
Our mission is to explore and advance the frontiers of deep technologies through open, collaborative, and independent research. Our focus lies at the intersection of artificial intelligence, robotics, and digital trust and safety with a commitment to transparency, usability, and practical impact.
Our research is structured into three primary categories:
| Artificial Intelligence |
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| Agentic AI |
| Prompt Engineering |
| Edge AI and Tiny ML |
| Explainable AI (XAI) |
| Federated and Decentralized AI |
| Robotics |
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| Vision |
| Control Software |
| Simulation |
| Autonomous |
| Telemetry and Logging |
| Privacy Engineering |
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| Privacy and Security in Intelligent Systems |
| Private Prompt Logging and Auditability |
| Information Boundary Control in Multi-Agent LLM |
Research Philosophy
Our approach is:
- Open by design: contributions and publications are made freely available to the community.
- Collaborative: we encourage cross-functional efforts from engineers, students, and researchers alike.
- Independent: we support those without institutional affiliations in producing rigorous, impactful research.
- Practical: we prioritize real-world applicability alongside theoretical advancement.
Interested in contributing to one of these areas?
Visit the Join Us page