Oregon Coast AI
First‑principles methods for high‑noise systems.
Danger Theory–inspired stability + containment.
Human‑Need Engineering
For R&D leaders, technical founders, and institutional partners seeking licensable, first‑principles IP in high‑noise systems, Oregon Coast AI turns first principles into patentable technology for human‑need systems. We build licensable inventions spanning AI safety, climate, quantum, materials, sensing and security, and biological systems, with non‑enabling public summaries and NDA‑based diligence when appropriate.
How we work
- Patent development: We originate patentable inventions and maintain an active, patent‑first filing pipeline.
- Collaboration: We work with research groups and industrial partners to align on problems, validate high‑level feasibility, and co‑develop licensable IP.
The H² Framework
- H² is our cross‑domain, first‑principles method for stability and reliability in noisy systems, used as the backbone for our invention portfolio across AI, quantum, climate, and other high‑noise domains.
- Public materials remain non‑enabling, with deeper technical information reserved for NDA‑based diligence when appropriate.
Current Focus
Our current focus under the H² cross-domain framework is:
- H²AI — AI safety and reliability
- H²Clime — climate systems and environmental risk
We prioritize H²AI and H²Clime because reliability and climate risk are immediate, global needs. Under the H² framework, we target systems where stability, resilience, and error modes determine real-world outcomes.
Portfolio
Oregon Coast AI maintains a patent‑first invention portfolio on the H² foundation: a protected core, a growing set of domain applications, and a public‑facing layer of non‑enabling summaries for collaboration and licensing.
Areas of work
- Quantum computing: Stability and QEC‑oriented methods.
- AI reliability: Robustness and error‑mode reduction.
- Materials science: Accelerated prediction and battery‑safety modeling.
- Sensing and security: Quantum‑era sensing and security architectures.
- Climate and earth systems: Geophysical and geospatial inversion for environmental risk.
- Immune and mental health: Danger Theory–inspired computational approaches framed for research collaboration.
- Cybersecurity and authenticity: Manipulation‑resistant security and content‑authenticity methods.
The underlying work draws on an established international patent track record and prior large‑scale clinical programs, with specifics shared only under NDA. Diligence materials are available under NDA when appropriate.
Working relationships
- We engage through licensing, sponsored research, and co‑development, with public descriptions kept non‑enabling and deeper materials shared under NDA when appropriate.
- We prioritize collaborations where first‑principles methods, high‑noise systems, and long‑term IP value are central to the work.